Alternatives to Ollama

Your ML model can be served in minutes in any cloud. Unified model packaging format that allows online and offline delivery on any platform. Our micro-batching technology allows for 100x more throughput than a regular flask-based server model server. High-quality prediction services that can speak the DevOps language, and seamlessly integrate with common infrastructure tools. Unified format for deployment. High-performance model serving. Best practices in DevOps are incorporated. The service uses the TensorFlow framework and the BERT model to predict the sentiment of movie reviews. DevOps-free BentoML workflow. This includes deployment automation, prediction service registry, and endpoint monitoring. All this is done automatically for your team. This is a solid foundation for serious ML workloads in production. Keep your team's models, deployments and changes visible. You can also control access via SSO and RBAC, client authentication and auditing logs.

Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness.

LibreChat, a free and open-source AI chat platform, is available for download. This web UI allows for a great deal of customization and supports a wide range of AI providers, services and integrations. All AI conversations can be served in one place, with a familiar interface and innovative enhancements for as many users you need. LibreChat, an AI chat platform, allows you to leverage the capabilities of cutting edge language models from multiple vendors in a single interface. LibreChat's vast customization options, innovative features, and seamless integration with AI services offer an unmatched conversational experience. It brings together the most recent advancements in AI technologies. It acts as a central hub for all AI conversations. It offers a familiar and user-friendly interface, enriched with advanced features, and customization capabilities. LibreChat is a free software that you can use, modify and distribute without any restrictions.

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.

Private LLM is an AI chatbot that works locally on iOS and macOS. It's safe and secure, and keeps your information entirely on the device. It does not require internet access to function, so your data will never leave your device. It's only for you. You only pay once, and you can use it across all your Apple devices. It's easy to use, with features that help with language, generating text and more. Private LLM uses state-of-the art quantization techniques and the latest AI models to deliver a high-quality AI experience on your device without compromising privacy. It's the smartest, most secure way to be creative and productive anywhere and anytime. Private LLM unlocks the potential of AI by supporting a wide range of open-source LLMs, including Llama 3, Google Gemma and Microsoft Phi-2. It also supports the Mixtral 8x7B and other models on iPhones, iPads, and Macs.

We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.

Flowise is open source and will always be free to use for commercial and private purposes. Build LLMs apps easily with Flowise, an open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Open source MIT License, see your LLM applications running live, and manage component integrations. GitHub Q&A using conversational retrieval QA chains. Language translation using LLM chains with a chat model and chat prompt template. Conversational agent for chat model that uses chat-specific prompts.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

Build and deploy deep-learning models for custom use scenarios. Our automated machine-learning process allows customers create powerful AI solutions based on our best-in class models and tailored to their specific challenges. Digital platforms can quickly create custom models that fit their guidelines and requirements. Build large language models to support specialized use cases, such as bots for customer and technical service. Create image classification models for better understanding image libraries, including search, organization and more.

Arches AI offers tools to create chatbots, train custom model, and generate AI-based content, all tailored to meet your specific needs. Deploy stable diffusion models, LLMs and more. A large language model agent (LLM) is a type artificial intelligence that uses deep-learning techniques and large data sets in order to understand, summarize and predict new content. Arches AI converts your documents into 'word embeddings.' These embeddings let you search by semantic meaning rather than by exact language. This is extremely useful when trying understand unstructured text information such as textbooks or documentation. Your information is protected from hackers and other bad characters by the strict security rules. You can delete all documents on the 'Files page'.

With our intuitive interface, you can create an AI-powered application in minutes. Connect GPT-3 with the internet using a Web Search Block, pull data in with an HTTP Request Block, or chain multiple Large Language Model blocks. Launch your app with a UI or bring the power to language into your community by deploying your app as a discord bot.

GradientJ gives you everything you need to create large language models in minutes, and manage them for life. Save versions of prompts and compare them with benchmark examples to discover and maintain the best prompts. Chaining prompts and knowledge databases into complex APIs allows you to orchestrate and manage complex apps. Integrating your proprietary data with your models will improve their accuracy.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

RAGFlow is a Retrieval-Augmented Generation engine (RAG), which combines Large Language Models with deep document understanding to enhance information retrieval. It provides a streamlined RAG process that is suitable for businesses at any scale. It allows for accurate question-answering backed up by well-founded citations based on various complex formats of data. The key features are template-based chunking and compatibility with heterogeneous sources of data.

Choose a model from our open-source collection, run it and access the model API within your product. No matter what model you are using for Image Recognition or Language Processing, all models come pre-trained and packaged with an easy-to use API. There are many models to choose from, and the list is growing. We curate and fine-tune only the best models from HuggingFace or Github. You can either host the model yourself or get your API-Key and endpoint with just one click. Cargoship keeps up with the advancement of AI so you don’t have to. The Cargoship Model Store has a collection that can be used for any ML use case. You can test them in demos and receive detailed guidance on how to implement the model. No matter your level of expertise, our team will pick you up and provide you with detailed instructions.

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.

PlugBear provides a low-code/no-code solution to connect communication channels with LLM applications (Large Language Model). It allows, for example, the creation of a Slack Bot from an LLM application in just a few simple clicks. PlugBear is notified when a trigger event occurs on the integrated channels. It then transforms messages into LLM applications, and initiates generation. PlugBear then transforms the generated results so that they are compatible with each channel. This allows users to interact with LLM applications seamlessly across different channels.

LM-Kit.NET, a cutting edge high-level inference toolkit, is designed to bring the advanced capabilities Large Language Models into the C# ecosystem. LM-Kit.NET is a powerful Generative AI toolkit that's tailored for developers who work within.NET. It makes it easier than ever before to integrate AI functionality into your applications. The SDK offers a wide range of AI features to cater to different industries. Text completion, Natural Language Processing, content retrieval and summarization, text enrichment, language translation are just a few of the many features. Whether you want to automate content creation or build intelligent data retrieval system, LM Kit.NET provides the flexibility and performance to accelerate your project.

Wordware allows anyone to create, iterate and deploy useful AI agents. Wordware combines software's best features with the power of language. Remove the constraints of traditional tools that don't require code and empower each team member to iterate on their own. Natural language programming will be around for a long time. Wordware removes prompt from codebases by providing non-technical and technical users with a powerful AI agent creation IDE. Our interface is simple and flexible. With an intuitive design, you can empower your team to collaborate easily, manage prompts and streamline workflows. Loops, branching and structured generation, as well as version control and type safety, help you make the most of LLMs. Custom code execution allows you connect to any API. Switch between large language models with just one click. Optimize your workflows with the best cost-to-latency-to-quality ratios for your application.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Lunary is a platform for AI developers that helps AI teams to manage, improve and protect chatbots based on Large Language Models (LLM). It includes features like conversation and feedback tracking as well as analytics on costs and performance. There are also debugging tools and a prompt directory to facilitate team collaboration and versioning. Lunary integrates with various LLMs, frameworks, and languages, including OpenAI, LangChain and JavaScript, and offers SDKs in Python and JavaScript. Guardrails to prevent malicious prompts or sensitive data leaks. Deploy Kubernetes/Docker in your VPC. Your team can judge the responses of your LLMs. Learn what languages your users speak. Experiment with LLM models and prompts. Search and filter everything in milliseconds. Receive notifications when agents do not perform as expected. Lunary's core technology is 100% open source. Start in minutes, whether you want to self-host or use the cloud.

Import data, such as text or images, from any source, including documents, cloud services or APIs, and launch a ChatGPT interface based upon your preferred large-language model, like GPT-4 or FLAN, and answer user questions based on imported data. A comprehensive list of sample queries that can be sent to an LLM connected through ZBrain to a company’s private data source. ZBrain can be seamlessly integrated into your existing products and tools as a prompt response service. You can enhance your deployment experience by choosing secure options such as ZBrain Cloud, or self-hosting on a private infrastructure. ZBrain Flow allows you to create business rules without writing code. The intuitive flow interface lets you connect multiple large language and prompt templates, image and video models, and extraction and parsing to build powerful, intelligent applications.

Dynamiq was built for engineers and data scientist to build, deploy and test Large Language Models, and to monitor and fine tune them for any enterprise use case. Key Features: Workflows: Create GenAI workflows using a low-code interface for automating tasks at scale Knowledge & RAG - Create custom RAG knowledge bases in minutes and deploy vector DBs Agents Ops - Create custom LLM agents for complex tasks and connect them to internal APIs Observability: Logging all interactions and using large-scale LLM evaluations of quality Guardrails: Accurate and reliable LLM outputs, with pre-built validators and detection of sensitive content. Fine-tuning : Customize proprietary LLM models by fine-tuning them to your liking

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.

AI-FLOW, an innovative open-source software platform, simplifies the way creators and innovators harness artificial intelligence. AI-FLOW's drag-and-drop user interface allows you to easily connect and combine AI models to create custom AI tools tailored to meet your needs. Key Features: Diverse AI Model Integration: Access a range of top-tier AI Models, including GPT-4 and DALL-E 3. 2. Drag-and-Drop: Create complex AI workflows without coding thanks to our intuitive design. 3. Custom AI Tool Creation: Create AI solutions that are tailored to your needs, from image generation through to language processing. 4. Local Data Storage: Take full control of your data by storing it locally and exporting it as JSON files.

Vishwa.ai, an AutoOps Platform for AI and ML Use Cases. It offers expert delivery, fine-tuning and monitoring of Large Language Models. Features: Expert Prompt Delivery : Tailored prompts tailored to various applications. Create LLM Apps without Coding: Create LLM workflows with our drag-and-drop UI. Advanced Fine-Tuning : Customization AI models. LLM Monitoring: Comprehensive monitoring of model performance. Integration and Security Cloud Integration: Supports Google Cloud (AWS, Azure), Azure, and Google Cloud. Secure LLM Integration - Safe connection with LLM providers Automated Observability for efficient LLM Management Managed Self Hosting: Dedicated hosting solutions. Access Control and Audits - Ensure secure and compliant operations.

FastGPT is an open-source AI knowledge base platform which offers out-of the-box data processing and model invocation. It also provides retrieval-augmented retrieval and visual AI workflows. This allows users to build large language models applications with ease. It allows users to create domain-specific AI assistants using imported documents or Q&A pair, which support various formats including Word, PDF and Excel. The platform automates preprocessing tasks such as text preprocessing and vectorization. It also enhances efficiency. FastGPT facilitates AI workflow orchestration via a visual drag and drop interface. This allows for the design of complex workflows integrating tasks such as database queries and inventory check. It offers seamless API integration for existing GPT platforms and applications like Discord, Slack and Telegram, using OpenAI-aligned interfaces.

Instructor is a tool which allows developers to extract structured information from natural language by using Large Language Models. Integrating Python's Pydantic Library allows users to define desired input structures through type hints. This facilitates schema validation and seamless integration. Instructor offers flexibility in implementation by supporting a variety of LLM providers including OpenAI, Anthropic Litellm and Cohere. Its customizability allows for the definition of validators, and custom error messages to enhance data validation processes. Engineers from platforms such as Langflow trust Instructor, highlighting its reliability and effectiveness for managing structured outputs powered LLMs. Instructor is powered Pydantic which is powered type hints. Type annotations control schema validation and prompting. This means less code to write and less learning to do.

Build your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider.

OpenAI's GPT Engine can be used to build supervised large-language models backed by your own data. Supervised is a tool that allows enterprises to build AI apps with scalability. It can be difficult to build your own LLM. We let you create and sell your AI apps using Supervised. Supervised AI gives you the tools to create powerful and scalable AI & LLM Apps. You can quickly build high-accuracy AI using our custom models and data. AI is being used by businesses in a very basic way, and the full potential of AI has yet to be unlocked. We let you use your data to create a new AI model. Build custom AI applications using data sources and models created by other developers.

Fine-tuning is when you take a dataset, and create a model to use AI. This is not always possible without programming so we created a solution in RIku that handles everything in a very easy format. Fine-tuning unlocks an entirely new level of power for artificial intelligence and we are excited to help you explore this. Public Share Links are landing pages you can create for any of the prompts. These can be designed with your brand in mind, including colors and adding your logo. These links can be shared with anyone, and if they have access to the password to unlock it they will be able make generations. No-code assistant builder for your audience. We found that projects using multiple large languages models have a lot of problems. They all return their outputs in a slightly different way.

SuperAGI SuperCoder combines AI-native development platform & AI agents in order to enable fully autonomous software creation starting with the python programming language & frameworks. SuperCoder 2.0 leverages Large Action Models (LAMs) and LLMs fine-tuned to python code creation leading to one-shot or few-shot python functional programming with significantly higher accuracy on SWE-bench and Codebench SuperCoder 2.0 is an autonomous system that combines software guardrails for Flask & Django development frameworks with SuperAGI's Generally Intelligent Developer Agents in order to deliver complex real-world software systems SuperCoder 2.0 integrates deeply with existing developer stacks such as Jira or Github, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds, to ensure a seamless experience in software development.

PromptQL, a platform created by Hasura, allows Large Language Models to interact with structured data through agentic querying. This approach allows AI agents retrieve and process data using a human-like interface, improving their ability to handle real-world queries. PromptQL allows LLMs to manipulate and query data accurately by providing them with a Python interface and a standard SQL interface. The platform allows users to create AI assistants that are tailored to their needs by integrating with different data sources such as GitHub repositories or PostgreSQL database. PromptQL overcomes the limitations of traditional search retrieval methods, allowing AI agents to perform tasks like gathering relevant emails and identifying follow-ups more accurately. Users can start by connecting their data, adding the LLM API key and building with AI.

Construct your model as a live interactive graph. View data flowing through the architecture of your visualized model. View and edit the model architecture at the atomic level. Graphbook offers X-ray transparency without black boxes. Graphbook checks data type and form in real-time, with clear error messages. This makes model debugging easy. Graphbook abstracts out software dependencies and configuration of the environment, allowing you to focus on your model architecture and data flows with the computing resources required. Cerbrec Graphbook transforms cumbersome AI modeling into a user friendly experience. Graphbook, which is backed by a growing community that includes machine learning engineers and data science experts, helps developers fine-tune their language models like BERT and GPT using text and tabular data. Everything is managed out of box, so you can preview how your model will behave.

Composio is a platform for integration that enhances AI agents and Large Language Models by providing seamless connections with over 150 tools. It supports a variety of agentic frameworks, LLM providers and function calling for efficient task completion. Composio provides a wide range of tools including GitHub and Salesforce, file management and code execution environments. This allows AI agents to perform a variety of actions and subscribe to different triggers. The platform offers managed authentication that allows users to manage authentication processes for users and agents through a central dashboard. Composio's core features include a developer first integration approach, built in authentication management, and an expanding catalog with over 90 ready to connect tools. It also includes a 30% reliability increase through simplified JSON structure and improved error handling.

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.

Compose, test and optimize prompts for the most popular language models and AI platforms. Promptmetheus, an Integrated Development Environment for LLM prompts is designed to help automate workflows and enhance products and services using the mighty GPT and other cutting edge AI models. The transformer architecture has enabled cutting-edge Language Models to reach parity with the human ability in certain narrow cognitive tasks. To effectively leverage their power, however, we must ask the right questions. Promptmetheus is a complete prompt engineering software toolkit that adds composability and traceability to the prompt design to help you discover those questions.

Open source language models require time and specialized expertise. Taylor AI allows your engineering team focus on creating real business value rather than deciphering complicated libraries and setting up a training infrastructure. Working with third-party LLM vendors requires that your sensitive company data be exposed. Most providers reserve their right to retrain models using your data. Taylor AI allows you to own and control all of your models. Break free from the pay-per token pricing structure. Taylor AI only charges you for the training of the model. You can deploy and interact as much as you want with your AI models. Every month, new open source models are released. Taylor AI keeps up to date with the latest open source language models so that you don't need to. Train with the latest open-source models to stay ahead. You own the model so you can deploy according to your unique compliance standards and security standards.

DeepSpeed is a deep learning optimization library that is open source for PyTorch. It is designed to reduce memory and computing power, and to train large distributed model with better parallelism using existing computer hardware. DeepSpeed is optimized to provide high throughput and low latency training. DeepSpeed can train DL-models with more than 100 billion parameters using the current generation GPU clusters. It can also train as many as 13 billion parameters on a single GPU. DeepSpeed, developed by Microsoft, aims to provide distributed training for large models. It's built using PyTorch which is a data parallelism specialist.

We are ready to meet all your business needs, whether it is quick engineering, fine-tuning or training. The Together Inference API makes it easy to integrate your new model in your production application. Together AI's elastic scaling and fastest performance allows it to grow with you. To increase accuracy and reduce risks, you can examine how models are created and what data was used. You are the owner of the model that you fine-tune and not your cloud provider. Change providers for any reason, even if the price changes. Store data locally or on our secure cloud to maintain complete data privacy.

Train, fine-tune and generate text and image AI based on your data. We use the best open-source models for image and text generation, and can train them within minutes using LoRA fine tuning. Click the share button to generate a link or bot to your session. You can deploy your own private infrastructure. Create a free Stable Diffusion XL account to start chatting and generating images using open source language models. Drag'n'drop is the easiest way to fine-tune your model using your own text or images. It takes between 3-10 minutes. You can chat with the models and create images using a familiar chat interface.

Query and compare multiple proprietary and open-source models simultaneously. Replace expensive APIs with custom AI models. Customize foundational AI models using your private data and adapt them to fit your specific use case. Small, fine-tuned models perform at the same level as GPT-4 while being up to 90% less expensive. Airtrain's LLM-assisted scoring simplifies model grading using your task descriptions. Airtrain's API allows you to serve your custom models in the cloud, or on your own secure infrastructure. Evaluate and compare proprietary and open-source models across your entire dataset using custom properties. Airtrain's powerful AI evaluation tools let you score models based on arbitrary properties to create a fully customized assessment. Find out which model produces outputs that are compliant with the JSON Schema required by your agents or applications. Your dataset is scored by models using metrics such as length and compression.

Natural Language Processing is Artificial Intelligence. It allows computers to understand and analyze human language. Pryon's AI can read, organize, and search in ways that were previously impossible for humans. This powerful ability is used in every interaction to both understand a request as well as to retrieve the correct response. The sophistication of the underlying natural languages technologies is directly related to the success of any NLP project. Your content can be used in chatbots, search engines, automations, and other ways. It must be broken down into pieces so that a user can find the exact answer, result, or snippet they are looking for. This can be done manually or by a specialist who breaks down information into intents or entities. Pryon automatically creates a dynamic model from your content to attach rich metadata to each piece. This model can be regenerated in a click when you add, modify or remove content.

PostgresML is an entire platform that comes as a PostgreSQL Extension. Build simpler, faster and more scalable model right inside your database. Explore the SDK, and test open-source models in our hosted databases. Automate the entire workflow, from embedding creation to indexing and Querying for the easiest (and fastest) knowledge based chatbot implementation. Use multiple types of machine learning and natural language processing models, such as vector search or personalization with embeddings, to improve search results. Time series forecasting can help you gain key business insights. SQL and dozens regression algorithms allow you to build statistical and predictive models. ML at database layer can detect fraud and return results faster. PostgresML abstracts data management overheads from the ML/AI cycle by allowing users to run ML/LLM on a Postgres Database.

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.

OpenPipe provides fine-tuning for developers. Keep all your models, datasets, and evaluations in one place. New models can be trained with a click of a mouse. Automatically record LLM responses and requests. Create datasets using your captured data. Train multiple base models using the same dataset. We can scale your model to millions of requests on our managed endpoints. Write evaluations and compare outputs of models side by side. You only need to change a few lines of code. OpenPipe API Key can be added to your Python or Javascript OpenAI SDK. Custom tags make your data searchable. Small, specialized models are much cheaper to run than large, multipurpose LLMs. Replace prompts in minutes instead of weeks. Mistral and Llama 2 models that are fine-tuned consistently outperform GPT-4-1106 Turbo, at a fraction the cost. Many of the base models that we use are open-source. You can download your own weights at any time when you fine-tune Mistral or Llama 2.

Powerful language models a click away. Join over 8,000 developers in building the next wave world-changing applications. Fine-tune GPT-J and deploy Codegen, FLAN-T5, GPT NeoX and GPT NeoX. There are multiple models with different capabilities and prices. GPT-J has the fastest speed, while GPT NeoX is the most powerful. And more models are coming. These models can be used for classification, entity extracting, code generation and chatbots. They can also be used for content generation, summarizations, paraphrasings, sentiment analysis and more. These models have already been pre-trained using a large amount of text taken from the internet. The fine-tuning process improves this for specific tasks, by training on more examples than are possible in a prompt. This allows you to achieve better results across a range of tasks.

MakerSuite simplifies this process. MakerSuite allows you to easily tune custom models, iterate on prompts and augment your data with synthetic data. MakerSuite allows you to export your prompts as code in your favorite languages, such as Python and Node.js, when you are ready to move on to code.

Generative AI can help you boost your business. Our products and tools streamline your workflows, enhance your capabilities and enable you to work more intelligently and efficiently. YourGPT allows you to unlock the full potential and confidence of artificial intelligence. Our chatbot is the latest GPT model and offers the most accurate and advanced responses. It's like ChatGPT on websites. You can convert every visitor into a potential lead by asking them to complete a form prior to accessing the chatbot. Our chatbot supports over 100 languages, allowing you to connect with customers around the globe.