Alternatives to LLMFuzzer

StartKit.AI was designed to accelerate the development of AI-based projects. It offers pre-built routes for all common AI tasks, including chat, images and long-form texts, as well as speech-to text, text-tospeech, translations and moderation. Also, more complex integrations such as web-crawlings, vector embeddings and more! It also comes with features for managing API limits and users, as well as a detailed documentation of all the code provided. Upon purchase, the customer receives access to the entire StartKit.AI GitHub repository, where they can customize and download the full code base. The code base includes 6 demo apps, which show you how to create your very own ChatGPT clone. This is the perfect starting point for creating your own app.

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

BenchLLM allows you to evaluate your code in real-time. Create test suites and quality reports for your models. Choose from automated, interactive, or custom evaluation strategies. We are a group of engineers who enjoy building AI products. We don't want a compromise between the power, flexibility and predictability of AI. We have created the open and flexible LLM tool that we always wanted. CLI commands are simple and elegant. Use the CLI to test your CI/CD pipeline. Monitor model performance and detect regressions during production. Test your code in real-time. BenchLLM supports OpenAI (Langchain), and any other APIs out of the box. Visualize insightful reports and use multiple evaluation strategies.

Llama Stack is a flexible framework designed to simplify the development of applications utilizing Meta’s Llama language models. It features a modular client-server architecture that allows developers to customize their setup by integrating different providers for inference, memory, agents, telemetry, and evaluations. With pre-configured distributions optimized for various deployment scenarios, Llama Stack enables a smooth transition from local development to production. It supports multiple programming languages, including Python, Node.js, Swift, and Kotlin, making it accessible across different tech stacks. Additionally, the framework provides extensive documentation and sample applications to help developers efficiently build and deploy Llama-powered solutions.

Redactive's platform for developers removes the specialist knowledge of data engineering that developers must learn, implement and maintain in order to build scalable, secure AI-enhanced apps for your customers, or productivity use cases for employees. Built with enterprise security in mind, so you can focus on quickly getting to production. Do not rebuild your permissions models just because your business is implementing AI. Redactive respects the access controls set by data sources & our data pipe can be configured so that your end documents are never stored, reducing your risks with downstream technology vendors. Redactive offers pre-built data connects & reusable authorization flows to connect with a growing list of tools. Custom connectors, LDAP/IdP integrations, and pre-built connectors are also available.

The Xilinx AI development platform for AI Inference on Xilinx hardware platforms consists optimized IP, tools and libraries, models, examples, and models. It was designed to be efficient and easy-to-use, allowing AI acceleration on Xilinx FPGA or ACAP. Supports mainstream frameworks as well as the most recent models that can perform diverse deep learning tasks. A comprehensive collection of pre-optimized models is available for deployment on Xilinx devices. Find the closest model to your application and begin retraining! This powerful open-source quantizer supports model calibration, quantization, and fine tuning. The AI profiler allows you to analyze layers in order to identify bottlenecks. The AI library provides open-source high-level Python and C++ APIs that allow maximum portability from the edge to the cloud. You can customize the IP cores to meet your specific needs for many different applications.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

The list is not exhaustive. Our solution engineers will work with your team to customize Kolena to your workflows and business metrics. The aggregate metrics do not tell the whole story. Unexpected model behavior is the norm. The current testing processes are manual and error-prone. They also cannot be repeated. Models are evaluated based on arbitrary statistics that do not align with product objectives. It is difficult to track model improvement as data evolves. Techniques that are adequate for research environments do not meet the needs of production.

Omni is an AI framework that allows you to connect Prompts and Tools to LLM Agents. Agents are built on the ReAct paradigm, which is Reason + Act. They allow LLM models and tools to interact to complete a task. Automate customer service, document processing, qualification of leads, and more. You can easily switch between LLM architectures and prompts to optimize performance. Your workflows are hosted as APIs, so you can instantly access AI.

At competitive prices, you can access dedicated machines that are pre-configured with professional AI development tools. Apolo offers everything from HPC resources to a complete AI platform with a built-in ML toolkit. Apolo is available in a distributed architecture or as a dedicated enterprise cloud. It can also be deployed as a white-label multi-tenant solution that supports dedicated instances or self service cloud. Apolo creates a fully-fledged AI development environment, with all the tools needed at your fingertips. Apolo automates and manages the infrastructure for successful AI development. Apolo's AI services seamlessly integrate your on-prem resources and cloud resources. They also deploy pipelines and integrate your commercial and open-source development tools. Apolo provides enterprises with the resources and tools necessary to achieve breakthroughs when it comes to AI.

Create automations and manage exceptions in intuitive English. Automate in a simple and intuitive way processes that have large volumes of transactions, unstructured and structured data, and workflows with complex exceptions. RPA has historically had difficulty automating processes that encounter exceptions. Document-heavy workflows are a good example. Kognitos uses a fundamentally new approach, allowing users to teach automation how to handle exceptions by using natural language. Kognitos mimics how we teach each other to resolve errors and edge-cases by using intuitive prompting, which puts humans in charge. Automation can be trained just like you would train a human to work through experience and examples.

Agentplace is an AI platform that allows AI apps and websites to be built directly on top a AI model. No coding is required. Agentplace allows you to create AI websites and applications. ChatGPT is now your interactive, dynamic website, capable of answering all questions, selling products and delivering services. It uses AI's adaptability and common sense. It also makes use of voice. You can program the system entirely in text. The website's user interface changes depending on what users do or say. Instead of static pages, UI elements can appear, update or hide based on user needs. For example, the form can be expanded as needed or the product page can display different details depending on the user's questions. Users can speak to your website just like they would do with ChatGPT. Voice can be used to ask questions, obtain information, or complete tasks. The site is accessible while driving, cooking or even while driving.

The fastest & easiest way to integrate GPT in your apps & workflows. Make your SaaS and mobile apps stand out using GPT. Develop, test, monitor, and improve your prompts all in one place. Integrate with a single API call, regardless of the provider. Add powerful GPT features such as text generation, information extract, etc. to your SaaS application and attract new users. Promptitude allows you to be ready for production within a single day. It takes a lot of skill to create powerful, perfect GPT prompts. With Promptitude you can now develop, test and manage all of your prompts from one place. With a built-in rating system, you can easily improve your prompts. Make your hosted GPT & NLP APIs accessible to a large audience of SaaS and software developers. Promptitude's prompt management is a simple and easy way to increase API usage. You can mix and match different AI models and providers, saving money by choosing the smallest model.

Diaflow is a platform that allows you to scale AI across your entire organization. It enables everyone to deploy AI workflows which drive innovation. Create powerful apps and workflows using any data source to automate manual processes or create fully automated ones. Automate manual business processes in a way that your team will enjoy. Diaflow's intuitive components and interfaces allow you to create powerful AI-driven apps for your business that you can be proud of. Diaflow AI-powered editor offers a new way to create and edit documents. Your expertise can be leveraged to provide 24/7 support. With a built-in AI spreadsheet solution, you can easily manage and transform your data. Diaflow makes it easy to create amazing products for your business. Diaflow allows you to create apps and workflows without coding in just minutes.

Set up your workspace easily by integrating GPT language models with your provider key for unparalleled performance. LLM Spark's GPT templates can be used to create AI applications quickly. Or, you can start from scratch and create unique projects. Test and compare multiple models at the same time to ensure optimal performance in multiple scenarios. Save versions and history with ease while streamlining development. Invite others to your workspace so they can collaborate on projects. Semantic search is a powerful search tool that allows you to find documents by meaning and not just keywords. AI applications can be made accessible across platforms by deploying trained prompts.

SweKit lets you build PR agents that review code, suggest improvement, enforce coding standard, identify potential issues and automate merge approvals. This streamlines the review process while improving code quality. Automate the creation of new features, debugging complex issues, creating and running tests, optimizing code for performance, maintainingability, and ensuring best practices across codebases, accelerating development. Use advanced code indexing and intelligent file navigation to explore and interact with huge codebases. Ask questions, track dependencies, uncover logic flow, and gain instant insight, enabling seamless communications with complex code structures. Keep your documentation up-to-date with your code. Update Mintlify documentation automatically whenever code changes are made. This ensures that your documentation is accurate, current, and ready for you and your team.

Create a custom AI assistant in less than 3 minutes. Add all the essential information, FAQs and protocols, as well as any other information that you find relevant. Increase user engagement and time spent on site with an AI-powered interactive support experience. Our powerful AI tools can help you work smarter and not harder. You can choose to use Alter Mind publicly or privately, to integrate it into your app or to leverage it within our platform. Alter Mind can be used to automate data analysis, optimize processes, streamline customer service and more. Our platform is designed for you to work more effectively and smarter.

Dify is an open-source platform that simplifies the creation and management of generative AI applications. It offers a user-friendly orchestration studio for designing workflows, a dedicated Prompt IDE for crafting and testing prompts, and robust LLMOps tools for monitoring and optimizing large language models. Compatible with leading AI models like OpenAI’s GPT series and open-source options such as Llama, Dify provides developers with the flexibility to choose the best models for their projects. Its Backend-as-a-Service (BaaS) capabilities make it easy to integrate AI features into existing systems, enabling the development of intelligent tools like chatbots, document summarizers, and virtual assistants.

NeuReality accelerates AI's possibilities by offering a revolutionary AI solution that reduces complexity, cost and power consumption. Other companies develop Deep Learning Accelerators for deployment. However, no company has a software platform that is specifically designed to manage specific hardware infrastructure. NeuReality is a unique company that bridges a gap between infrastructure where AI inference runs, and the MLOps eco-system. NeuReality developed a new architecture to maximize the power of DLAs. This architecture allows inference via hardware using AI-over fabric, an AI hypervisor and AI-pipeline-offload.

Platform for AI agents testing and debugging by the industry's leading developers. We developed the tools, so you don't need to. Visually track events, such as LLM, tools, and agent interactions. Rewind and playback agent runs with pinpoint precision. Keep a complete data trail from prototype to production of logs, errors and prompt injection attacks. Native integrations with top agent frameworks. Track, save and monitor each token that your agent sees. Monitor and manage agent spending using the most recent price monitoring. Save up to 25x on specialized LLMs by fine-tuning them based on completed completions. Build your next agent using evals and replays. You can visualize the behavior of your agents in your AgentOps dashboard with just two lines of coding. After you set up AgentOps each execution of your program will be recorded as a "session" and the data will automatically be recorded for you.

With our cloud partners, you can build, train, and deploy your models in cloud using the most recent IPU AI systems and frameworks. This allows you to scale up to large IPU compute seamlessly, while saving on compute costs. Get started with IPUs today by getting on-demand pricing and tiers free of charge from our cloud partners. Our Intelligence Processing Unit (IPU), technology is expected to become the global standard for machine intelligence computing. The Graphcore IPU will have a transformative impact across all industries and sectors. It has the potential to have a real positive societal impact, from drug discovery to disaster recovery to decarbonization. The IPU is an entirely new processor that was specifically designed for AI computation. AI researchers can use the IPU's unique architecture to do completely new types of work that are not possible with current technologies. This will allow them to drive the next generation in machine intelligence.

Describe examples of API requests and responses. Define API logic in natural language. Test your API endpoints, and fine-tune prompt, response structure, or request structure. Integrate API endpoints into your applications with just a click. In less than one minute, you can build and deploy sophisticated application logic with no code. No need for individual LLM accounts. Sign up for Backengine and get started building. Our super-fast backend architecture is available immediately. All endpoints have been secured and protected, so that only you and your application can use them. Manage your team members easily so that everyone can work on Backengine endpoints. Add persistent data to your Backengine endpoints. A complete replacement for the backend. Use external APIs to integrate your endpoints.

Caffe is a deep-learning framework that focuses on expression, speed and modularity. It was developed by Berkeley AI Research (BAIR), and community contributors. The project was created by Yangqing Jia during his PhD at UC Berkeley. Caffe is available under the BSD 2-Clause License. Check out our web image classification demo! Expressive architecture encourages innovation and application. Configuration is all that is required to define models and optimize them. You can switch between CPU and GPU by setting one flag to train on a GPU, then deploy to commodity clusters of mobile devices. Extensible code fosters active development. Caffe was forked by more than 1,000 developers in its first year. Many significant changes were also made back. These contributors helped to track the state of the art in code and models. Caffe's speed makes it ideal for industry deployment and research experiments. Caffe can process more than 60M images per hour using a single NVIDIA GPU K40.

Entry Point AI is a modern AI optimization platform that optimizes proprietary and open-source language models. Manage prompts and fine-tunes in one place. We make it easy to fine-tune models when you reach the limits. Fine-tuning involves showing a model what to do, not telling it. It works in conjunction with prompt engineering and retrieval augmented generation (RAG) in order to maximize the potential of AI models. Fine-tuning your prompts can help you improve their quality. Imagine it as an upgrade to a few-shot model that incorporates the examples. You can train a model to perform at the same level as a high-quality model for simpler tasks. This will reduce latency and costs. For safety, to protect the brand, or to get the formatting correct, train your model to not respond in a certain way to users. Add examples to your dataset to cover edge cases and guide model behavior.

The hybrid front-end seamlessly switches between Gluon eager symbolic mode and Gluon imperative mode, providing flexibility and speed. The dual parameter server and Horovod support enable scaleable distributed training and performance optimization for research and production. Deep integration into Python, support for Scala and Julia, Clojure and Java, C++ and R. MXNet is supported by a wide range of tools and libraries that allow for use-cases in NLP, computer vision, time series, and other areas. Apache MXNet is an Apache Software Foundation (ASF) initiative currently incubating. It is sponsored by the Apache Incubator. All accepted projects must be incubated until further review determines that infrastructure, communications, decision-making, and decision-making processes have stabilized in a way consistent with other successful ASF projects. Join the MXNet scientific network to share, learn, and receive answers to your questions.

Track the latency and cost of each prompt. Track the cost and latency of each prompt. Create dynamic variables for your prompts. Call them using API and insert variables in the prompt. Combine the power of multiple LLMs in your application. Track latency and costs of requests to optimize the best options. Test different prompts, and save the ones you like.

Experience JinaChat - a LLM service designed for professionals. JinaChat is a multimodal chat service that goes beyond text and includes images. Enjoy our free short interactions below 100 tokens. Our API allows developers to build complex applications by leveraging long conversation histories. JinaChat is the future of LLM, with multimodal conversations that are long-memory and affordable. Modern LLM applications are often based on long prompts or large memory, which can lead to high costs if the same prompts are sent repeatedly to the server. JinaChat API solves this issue by allowing you to carry forward previous conversations, without having to resend the entire prompt. This is a great way to save both time and money when developing complex applications such as AutoGPT.

Get a complete picture of the performance of your model. Log inputs and out-puts, and enrich them with metadata. Find out what your model is doing and where it can be improved. Monitor for errors, and identify underperforming cohorts or use cases. The best models are based on user data. To retrain your model, you can programmatically gather examples that are unusual or underperforming. When changing your model or prompt, stop manually reviewing thousands outputs. Apps powered by LLM can be evaluated programmatically. Detect and fix degradations fast. Monitor new deployments and edit your app in real-time. Connect your data sources to your self-hosted model or third-party model. Our serverless streaming dataflow engines can handle large amounts of data. Gantry is SOC-2-compliant and built using enterprise-grade authentication.

AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.

DagsHub, a collaborative platform for data scientists and machine-learning engineers, is designed to streamline and manage their projects. It integrates code and data, experiments and models in a unified environment to facilitate efficient project management and collaboration. The user-friendly interface includes features such as dataset management, experiment tracker, model registry, data and model lineage and model registry. DagsHub integrates seamlessly with popular MLOps software, allowing users the ability to leverage their existing workflows. DagsHub improves machine learning development efficiency, transparency, and reproducibility by providing a central hub for all project elements. DagsHub, a platform for AI/ML developers, allows you to manage and collaborate with your data, models and experiments alongside your code. DagsHub is designed to handle unstructured data, such as text, images, audio files, medical imaging and binary files.

Oumi, a platform open-source, streamlines the lifecycle of foundational models from data preparation to training and evaluation. It supports training and fine tuning models with parameters ranging from 10 millions to 405 billion using state-of the-art techniques like SFT, LoRA QLoRA and DPO. The platform supports text and multimodal models including architectures such as Llama DeepSeek Qwen and Phi. Oumi provides tools for data curation and synthesis, allowing users to efficiently generate and manage training datasets. It integrates with popular engines such as vLLM and SGLang for deployment, ensuring efficient serving of models. The platform provides comprehensive evaluation capabilities to assess model performance using standard benchmarks. Oumi is designed to be flexible and can run in a variety of environments, including local laptops, cloud infrastructures like AWS, Azure GCP, Lambda, etc.

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

With a single command, you can train and serve large AI models in scale. You can simply point to your S3 bucket. We take care of the rest: orchestration, efficiency and node failures. Simple and scalable. MosaicML allows you to train and deploy large AI model on your data in a secure environment. Keep up with the latest techniques, recipes, and foundation models. Our research team has developed and rigorously tested these recipes. In just a few easy steps, you can deploy your private cloud. Your data and models will never leave the firewalls. You can start in one cloud and continue in another without missing a beat. Own the model trained on your data. Model decisions can be better explained by examining them. Filter content and data according to your business needs. Integrate seamlessly with your existing data pipelines and experiment trackers. We are cloud-agnostic and enterprise-proven.

Native support for ChatGPT, LangChain and more. Bing, HuggingFace, and more to come. Add your API documentation by hand or import an OpenAPI specification. Access the request prompt and parameters, headers, bodies, and more. View detailed live metrics on how your plugin performs, including latencies and errors. Create your own dashboards to track funnels and aggregate metrics.

Autogon is an AI and machine-learning company that simplifies complex technologies to empower businesses and provide them with cutting-edge, accessible solutions for data-driven decision-making and global competitiveness. Discover the potential of Autogon's models to empower industries and harness the power of AI. They can foster innovation and drive growth in diverse sectors. Autogon Qore is your all-in one solution for image classification and text generation, visual Q&As, sentiment analysis, voice-cloning and more. Innovative AI capabilities will empower your business. You can make informed decisions, streamline your operations and drive growth with minimal technical expertise. Empower engineers, analysts and scientists to harness artificial intelligence and machine-learning for their projects and researchers. Create custom software with clear APIs and integrations SDKs.

Your ML teams can auto-diagnose and improve their data and models to create robust and performant AI models. Only platform that can automatically diagnose data and models, empowering ML team to deliver robust and performant AI model faster. Camera noise, shadows, sign stickers, and other factors are covered. Confirmed using real-world images of models that consistently fail. While improving model accuracy by 0.2%. Our mission is to transform the way that the next generation AI systems are built. We need to create AI systems that are trusted by both users and companies if we want to use AI in our homes, offices, hospitals, roads, and businesses. We are leading AI researchers and professors at ETH Zurich. Our expertise includes formal methods, symbolic reasoning and machine learning. LatticeFlow was founded with the goal to create the first platform that allows companies to develop robust AI models that can be used in the wild.

Prompt Flow, a set of development tools, is designed to streamline end-to-end AI development cycles based on LLM, from ideation and prototyping to testing and evaluation, to production deployment and monitoring. It simplifies prompt engineering and allows you to create LLM apps of production quality. Prompt flow allows you to create flows that connect LLMs, Python code and other tools in an executable workflow. It is easy to debug and iterate flows, tracing interactions between LLMs in particular. You can evaluate flows, calculate performance and quality metrics with larger datasets and integrate the testing into your CI/CD to ensure quality. It is easy to deploy flows on the platform of your choosing or integrate them into your app code base. The cloud version of Azure AI's Prompt flow facilitates collaboration with your team.

Lyzr Agent Studio provides a low-code/no code platform that allows enterprises to build, deploy and scale AI agents without requiring a lot of technical expertise. This platform is built on Lyzr’s robust Agent Framework, the first and only agent Framework to have safe and reliable AI natively integrated in the core agent architecture. The platform allows non-technical and technical users to create AI powered solutions that drive automation and improve operational efficiency while enhancing customer experiences without the need for extensive programming expertise. Lyzr Agent Studio allows you to build complex, industry-specific apps for sectors such as BFSI or deploy AI agents for Sales and Marketing, HR or Finance.

Voiceflow allows teams to create, test, and ship conversational assistants together faster and at a larger scale. Chat and voice interfaces can be created for any digital product. You can combine conversation design, product development, product copywriting, legal, as well as conversation design and development. All of this is possible with one platform. Eliminate content chaos and functional silos. Voiceflow allows teams to collaborate in an interactive workspace that consolidates all assistant information, conversation flows and intents. It also stores response content, API calls, and other data. 1-click prototyping makes it easy to avoid delays and large dev efforts. Designers can quickly create high-fidelity, shareable prototypes in minutes to help improve the user experience. Voiceflow is the best tool to speed up and scale app delivery. You can speed up your workflow with time-savers such as drag-and-drop design and rapid prototyping. Real-time feedback is also available.

Metal is a fully-managed, production-ready ML retrieval platform. Metal embeddings can help you find meaning in unstructured data. Metal is a managed services that allows you build AI products without having to worry about managing infrastructure. Integrations with OpenAI and CLIP. Easy processing & chunking of your documents. Profit from our system in production. MetalRetriever is easily pluggable. Simple /search endpoint to run ANN queries. Get started for free. Metal API Keys are required to use our API and SDKs. Authenticate by populating headers with your API Key. Learn how to integrate Metal into your application using our Typescript SDK. You can use this library in JavaScript as well, even though we love TypeScript. Fine-tune spp programmatically. Indexed vector data of your embeddings. Resources that are specific to your ML use case.

Distributed training is possible without changing the model code. Determined takes care of provisioning, networking, data load, and fault tolerance. Our open-source deep-learning platform allows you to train your models in minutes and hours, not days or weeks. You can avoid tedious tasks such as manual hyperparameter tweaking, re-running failed jobs, or worrying about hardware resources. Our distributed training implementation is more efficient than the industry standard. It requires no code changes and is fully integrated into our state-ofthe-art platform. With its built-in experiment tracker and visualization, Determined records metrics and makes your ML project reproducible. It also allows your team to work together more easily. Instead of worrying about infrastructure and errors, your researchers can focus on their domain and build upon the progress made by their team.

Use tools to bring LLM-powered features into production, including tools for rapid engineering, semantic searching, version control, quantitative testing, and performance monitoring. Compatible with all major LLM providers. Develop an MVP quickly by experimenting with various prompts, parameters and even LLM providers. Vellum is a low-latency and highly reliable proxy for LLM providers. This allows you to make version controlled changes to your prompts without needing to change any code. Vellum collects inputs, outputs and user feedback. These data are used to build valuable testing datasets which can be used to verify future changes before going live. Include dynamically company-specific context to your prompts, without managing your own semantic searching infrastructure.

Athina is a powerful AI development platform designed to help teams build, test, and monitor AI applications with ease. It provides robust tools for prompt management, evaluation, dataset handling, and observability, ensuring the creation of reliable and scalable AI solutions. With seamless integration capabilities for various AI models and services, Athina also prioritizes security with fine-grained access controls and self-hosted deployment options. As a SOC-2 Type 2 compliant platform, it offers a secure and collaborative environment for both technical and non-technical users. By streamlining workflows and enhancing team collaboration, Athina accelerates the development and deployment of AI-driven features.

A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.

NVIDIA AI Enterprise is the software layer of NVIDIA AI Platform. It accelerates the data science pipeline, streamlines development and deployments of production AI including generative AI, machine vision, speech AI, and more. NVIDIA AI Enterprise has over 50 frameworks, pre-trained models, and development tools. It is designed to help enterprises get to the forefront of AI while simplifying AI to make it more accessible to all. Artificial intelligence and machine learning are now mainstream and a key part of every company's competitive strategy. Enterprises face the greatest challenges when it comes to managing siloed infrastructure in the cloud and on-premises. AI requires that their environments be managed as a single platform and not as isolated clusters of compute.

Tencent Cloud TI Platform, a machine learning platform for AI engineers, is a one stop shop. It supports AI development at every stage, from data preprocessing, to model building, to model training, to model evaluation, as well as model service. It is preconfigured with diverse algorithms components and supports multiple algorithm frameworks for adapting to different AI use-cases. Tencent Cloud TI Platform offers a machine learning experience in a single-stop shop. It covers a closed-loop workflow, from data preprocessing, to model building, training and evaluation. Tencent Cloud TI Platform allows even AI beginners to have their models automatically constructed, making the entire training process much easier. Tencent Cloud TI Platform’s auto-tuning feature can also improve the efficiency of parameter optimization. Tencent Cloud TI Platform enables CPU/GPU resources that can elastically respond with flexible billing methods to different computing power requirements.

Hyperbrowser allows users to run and scale headless browsers within secure, isolated containers. It is designed for web automation, and AI-driven applications. It allows users to automate tasks such as web scraping, form filling and testing, and to scrape web data and structure it at scale for analysis. Hyperbrowser integrates AI agents to enable browsing, data collection and interaction with web apps. It has features like automatic captcha solvers to streamline automation workflows. Stealth mode to avoid bot detection. Session management with logging, bugging, and secure resource separation. The platform supports 10,000 concurrent browsers, with sub-millisecond latencies. This ensures scalable and reliable browsing. Hyperbrowser supports a variety of tech stacks including Python and Node.js and offers both synchronous and non-synchronous clients to ensure seamless integration.

Generative AI can boost your productivity and inspire you to create more content. It is bound and grounded by industry standards and intelligence. Content can be rated for reliability, political leaning, and alignment with your brand safety themes. Our AI models are rigorously reviewed and tested by leading experts and scientists to train our dataset with only the most trustworthy content on the web. Use the most reliable large language model (LLM), which is used by the industry, to create new content quickly, accurately, and for a low cost. AI tools can help you speed up processes and improve business outcomes. They are designed to reduce costs while delivering astronomical results.

The first AI platform for business that does not require any code allows you to train and deploy GPT models in any use case. Our experts are ready to assist you. Our cost-effective tools can be used to fine-tune your open source models using your own data. You can deploy your open source model securely across multiple clouds, without having to rely on a third-party vendor for your valuable data. Our team of experts will create the perfect app for your needs. Our tool allows you to easily monitor your usage, and reduce costs. Let our team of experts help you solve your problems. Automate your customer service and efficiently classify your calls. Our advanced solution allows you to streamline customer interaction and improve service delivery. Build a robust system to detect fraud and anomalies based on previously flagged information.

Search, filter and sort AI models. Find the best model for your AI project. Subscribe to receive a monthly update on new models. Sponsor the site and show off your company in front of 5,000+ AI developers and founders. Your ad is here for only $49! Reach thousands of AI developers and founders to convert them into customers. Replicate Codex is the ultimate destination for AI professionals looking for the latest AI models. Our platform is the ideal place for your business to showcase its AI models, tools and services. Over 5,000 AI founders use our tool every month. Advertising on our platform will allow you to reach a highly-targeted audience of AI professionals actively searching for solutions. Your company can receive a place on our homepage as well as a newsletter sponsorship for just $49 per monthly. Your ad will then be seen by thousands AI professionals searching for the best AI models.