Alternatives to Autoblocks

Ambassador Edge Stack, a Kubernetes-native API Gateway, provides simplicity, security, and scalability for some of the largest Kubernetes infrastructures in the world. Ambassador Edge Stack makes it easy to secure microservices with a complete set of security functionality including automatic TLS, authentication and rate limiting. WAF integration is also available. Fine-grained access control is also possible. The API Gateway is a Kubernetes-based ingress controller that supports a wide range of protocols, including gRPC, gRPC Web, TLS termination, and traffic management controls to ensure resource availability.

TrustInSoft commercializes a source code analyzer called TrustInSoft Analyzer, which analyzes C and C++ code and mathematically guarantees the absence of defects, immunity of software components to the most common security flaws, and compliance with a specification. The technology is recognized by U.S. federal agency the National Institute of Standards and Technology (NIST), and was the first in the world to meet NIST’s SATE V Ockham Criteria for high quality software. The key differentiator for TrustInSoft Analyzer is its use of mathematical approaches called formal methods, which allow for an exhaustive analysis to find all the vulnerabilities or runtime errors and only raises true alarms. Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure. The experts at TrustInSoft can also assist clients in training, support and additional services.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers see them. Scout APM is a developer-centric UI that provides real-time alerting and trace logic that ties bottlenecks directly back to source code. This allows you to spend less time fixing bugs and more time building great products. With an agent that instruments only the dependencies you require, you can quickly identify, prioritize, or resolve performance issues - memory bloat and N+1 queries, slow databases queries, and many more - in a fraction of time. Scout APM was created by developers for developers. It monitors Ruby, PHP and Python as well as Node.js and Elixir applications.

Unexpected outcomes happen all the time. You can pinpoint the source of errors or surprises in real-time with surgical precision when you have full visibility of the entire chain of calls. Unit testing is a key component of software engineering to create production-ready, performant applications. LangSmith offers the same functionality for LLM apps. LangSmith allows you to create test datasets, execute your applications on them, and view results without leaving the application. LangSmith allows mission-critical observability in just a few lines. LangSmith was designed to help developers harness LLMs' power and manage their complexity. We don't just build tools. We are establishing best practices that you can rely upon. Build and deploy LLM apps with confidence. Stats on application-level usage. Feedback collection. Filter traces and cost measurement. Dataset curation - compare chain performance - AI-assisted assessment & embrace best practices.

Build complex backend agents using multiple steps with an action-based orchestration. All LLMs are supported. Build a fully customized UI without writing a line of code for your agent, and serve it on your own domain. Track your agent's every move, literally, to cope with the nondeterministic nature LLMs. Access control can be built at a finer grain for your application, data and agent. A fine-tuned, specialized model to accelerate software development. Automatically handle concurrency and rate limiting.

Visual Studio Extension for.NET developers. C#, VB.NET and XAML are available for code quality analysis in C#, VB.NET and ASP.NET MVC. Your code will be immediately analyzed and you can see if it needs to be improved. ReSharper not only warns you when your code is broken, but it also provides hundreds of quick-fixes that can be used to fix problems immediately. You can choose the best quick-fix for almost any case from a wide range of options. Automated solution-wide code restructurings allow you to safely modify your code base. ReSharper is the perfect tool to help you revitalize legacy code and organize your project structure. You can quickly navigate and search the entire solution. You can jump to any file, type or member of a type or navigate from a specific symbol's usages, base symbols, or implementations.

To develop AI solutions, engineers must have a resilient, open, repeatable engineering approach to ensure quality and agility. These efforts have not been able to address the challenges of today's complex environment, which is filled with a variety of tools and rapidly changing data. Platform for collaborative development that automates the control and development of AI applications across multiple persons. To predict customer behavior in real-time, and at scale, we can derive hyper-detailed customer profiles using enterprise data. AI-powered models that can continuously learn and achieve clearly defined business results. Allows organizations to demonstrate compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform is designed to address enterprise AI use cases using modular platform offerings. Customers use and leverage its capabilities in microservices as part of their enterprise AI initiatives.

The complete LLM Platform with a superior developer's experience and robust infrastructure. Build, deploy and manage trusted, hyper-personalized and streamlined generative AI applications. Langbase is a new AI tool and inference engine for any LLM. It's an OpenAI alternative that's open-source. The most "developer friendly" LLM platform that can ship hyper-personalized AI applications in seconds.

TotalView debugging software gives you the specialized tools to quickly analyze, scale, and debug high-performance computing applications (HPC). This includes multicore, parallel, and highly dynamic applications that run on a variety of hardware, from desktops to supercomputers. TotalView's powerful tools allow for faster fault isolation, better memory optimization, and dynamic visualisation to improve HPC development efficiency and time-to market. You can simultaneously debug thousands upon thousands of threads and processes. TotalView is a tool that was specifically designed for parallel and multicore computing. It provides unprecedented control over thread execution and processes, as well as deep insight into program data and program states.

Cloobot X, a Next Gen No-Code Platform for Enterprises with in-house IT Teams, offers the following value proposition: Overcome the limitations of existing No Code Platforms (Scalability and Vendor Lock-In, etc.) 2. Support problem solvers such as consultants, domain experts and product managers at all stages of the Software Development Lifecycle. Instantly deliverables such as Prototypes (in a programming language you choose), MVPs (in a chosen programming language), Workflow Apps and Codebases (in whichever programming languages you choose) can reduce the time to delivery 10x. 4. Enable Enterprises adapt Gen AI and address concerns (Platform can run on custom LLMs; code is generated using proprietary algorithm, not by Code-based LLMs).

With a fully automated cloud infrastructure, experts can explore data and write stable codes at the same time. Zerve’s data science environment gives data scientists and ML teams a unified workspace to explore, collaborate and build data science & AI project like never before. Zerve provides true language interoperability. Users can use Python, R SQL or Markdown in the same canvas and connect these code blocks. Zerve offers unlimited parallelization, allowing for code blocks and containers to run in parallel at any stage of development. Analysis artifacts can be automatically serialized, stored and preserved. This allows you to change a step without having to rerun previous steps. Selecting compute resources and memory in a fine-grained manner for complex data transformation.

Organizations today are faced with complex problems involving large and diverse datasets. Solving these problems requires an innovative approach. Filuta AI presents powerful solutions using Composite Artificial Intelligence. We are democratizing AI by improving user access to automation while reducing reliance upon costly, non-transparent options. Our platform makes intelligent automation accessible to those who are not developers. Filuta AI’s self-supervised AI and automatic symbolic domain syntheses allow you to deploy at 10 times the speed of traditional AI. Our platform was created with a novel method - to augment humans by breaking down complex real-world problems in actionable hierarchies using Composite AI.

You can build, deploy and monitor AI-powered applications in just a few simple clicks. No coding or machine learning expertise is required. Stop puzzling together disjointed tools, featuring-engineering your way to production, and calling in favors to get results. With a platform that is designed to build, monitor and improve AI solutions throughout their entire lifecycle, managing all your AI initiatives will be a breeze. No more hyperparameter tuning and feature engineering. Graft guarantees that everything you build will work in production because the platform is production. Your AI solution should be tailored to your business. You retain control over the AI solution, from foundation models to pretraining and fine-tuning. Unlock the value in your unstructured data, such as text, images, videos, audios, and graphs. Control and customize solutions at scale.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

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.

We power customized and scalable generative artificial intelligence for the world's largest institutions. We provide institutions with category-leading tools and infrastructure to integrate their private and relevant public data, allowing them to leverage commercial generative AI in a way they could not before. Access in-depth analytics and understand how your AI can add value. Autonomous model tuning: Watch as your AI improves itself, fine-tuning performance based on data in real-time and user interactions. Control AI costs precisely, from the overall budget to the individual API key usage. Chi Core will transform your AI journey, simplify and increase the value of AI roadmaps, while seamlessly integrating cutting edge AI into your business technology stack.

Gen App Builder is unique because, unlike other generative AI solutions for developers, it provides an orchestration layer which abstracts the complexity involved in combining enterprise systems and generative AI tools, resulting in a smooth and helpful user experience. Gen App Builder offers step-by-step orchestration for search and conversational apps with pre-built workflows to help developers set up and deploy their applications. Gen App Builder allows developers to: Build in minutes or even hours. Google's conversational and search tools powered with foundation models allow organizations to quickly create high-quality experiences which can be integrated into applications and websites.

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.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

Rollbar is trusted by renowned brands around the world. It has the ability to solve problems that similar products within the same range do not. Rollbar was built by developers for developers. It is a superior, full-stack error monitoring platform that can be used for mobile and web applications. Rollbar allows developers to quickly find and fix bugs, reducing errors in the live environment. You can integrate a tracking service into your application by checking them out.

Everything you need to turn your ideas into AI apps within minutes. Our platform is easy to use and anyone can create next-generation AI-powered applications in just 10 minutes. Integrate APIs such as ChatGPT, Dalle-2 and Codex from Open AI seamlessly and even create custom ML models. To manage inventory, sales, contracts, and other functions, you can create a custom admin client or CRUD functionality. Dynamic dashboards can be created to transform data into actionable insights, and drive innovation for your business. Create a chatbot with multiple integrations to improve customer service and create an omnichannel experience. All-in-one cloud platform that combines low-code/no code tools with edge technologies. This makes your web application easy to manage, secure, and scalable. Our no-code/low code platform is perfect for both professional and business developers.

Memfault upgrades Android and MCU-based smartphones to reduce risk, ship products quicker, and resolve issues quickly. Developers and IoT device makers can easily and quickly monitor and manage the entire device's lifecycle, including feature updates and development, by integrating Memfault in smart device infrastructure. Remotely monitor firmware and hardware performance, investigate issues remotely, and roll out targeted updates incrementally to devices without interrupting customers. You can do more than just application monitoring. Get device- and fleet-level metrics like battery health, connectivity, and crash analytics for firmware. Automated detection, alerts and deduplication make it easier to resolve issues faster. Customers will be happy if bugs are fixed quickly and features are shipped more often with staged rollouts (cohorts) and for specific device groups (cohorts).

PlatformIO is a professional collaborative platform for embedded programming. PlatformIO is a next-generation collaborative platform for embedded software development. It allows customers to save time and money by greatly reducing the costs and labor involved in creating and maintaining product code. We believe that the embedded systems industry needs to be reinvented. Not only are IDEs and tools built using technology from the 1990s but they also have many requirements and platform-dependent configurations which prevent talented developers from becoming embedded engineers. This is the most popular IDE solution for Microsoft Visual Studio Code. An integrated development environment that is user-friendly and extensible. It includes a variety of powerful tools and features that will speed up the creation and delivery embedded products. PlatformIO is written entirely in Python and does not require any additional libraries or tools from an operation system.

Xdebug is a PHP extension that provides a variety of features to enhance the PHP development experience. You can step through your code while the script is running in your editor or IDE. A new var_dump() function that allows you to stack trace your code to highlight warnings, errors and exceptions. Writes every function call, including arguments and invocation location to the disk. Optionally, includes each variable assignment and return value for each of the functions. With the help of visualization tools, you can analyze the performance of your PHP app and identify bottlenecks. This tool allows you to see which parts of your code are executed when PHPUnit runs unit tests. The fastest way to install Xdebug is often with a package manager. You can replace the PHP version you are using with the version that is compatible. Xdebug can be installed via PECL on Linux & macOS using Homebrew.

Polar Signals cloud provides continuous profiling that is always on, zero-instrumentation, and helps to improve performance, reduce infrastructure costs, and understand incidents. You can optimize performance and save costs in your infrastructure with just one command. You can go back in time and pinpoint incidents or issues. Profiling data can provide unique insights and depth about how a process has performed over time. Use the profiling data gathered over time to confidently identify hot paths that can be optimized. Many organizations waste 20-30% of their resources on code paths that are easily optimized. Polar Signals Cloud is a unique blend of technologies that was designed to provide the profiling toolset necessary for today's changing infrastructure and applications. Deploy immediately with zero instrumentation and benefit from actionable observability information.

Automatically detect bugs, UI/UX discrepancies and other issues. Finding bugs can be tedious and difficult. Buglab automates the testing process to detect UI/UX problems in websites, platforms and web apps. Accelerate software development and ensure quality for clients while focusing on important aspects of your company. Find UI bugs and fix them before they cost you. Buglab automates testing of websites by allowing users to simulate any type of user action in just a few mouse clicks and without writing even a single line code. You can create any sequence to ensure that your website changes do not cause any bugs or functionality issues. The system will display results once a test is set up and highlight the differences in your base and new version of the website. Group your tests into logical suites or projects and schedule them differently.

Sourcery CodeBench is a powerful tool that allows embedded software engineers to develop and optimize software for a variety targets and domains such as Automotive, Connectivity and Graphics. Sourcery CodeBench is more than just a compiler. It provides developers with powerful open-source embedded C/C++ development tools that allow them to build, debug and optimize embedded software in heterogeneous architectures such as Arm, IA32 and MIPS. Eclipse-based IDE that allows workspace customization and project management. Enhanced source editor with syntax highlighting. Board Builder supports custom boards. This tool automatically generates debug configuration files and linker scripts based on a board’s memory map.

VisualVM monitors, troubleshoots, and diagnoses Java 1.4+ applications from a variety of vendors using jvmstat (jvmstat.com), JMX (Serviceability Agent), and Attach API. VisualVM is designed to meet the needs of all application developers, system administrators and quality engineers. VisualVM displays basic runtime information for each process: PID, mainclass, arguments passed to the java process, JVM home, JVM arguments and flags, and System properties. VisualVM monitors CPU usage of the application, GC activity and heap and metaspace / permanent memory, as well as the number of loaded classes, and running threads. VisualVM provides basic profiler capabilities to analyze application performance and memory management. Both sampling and instrumentation profiles are available.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

EasyQA Software Development Kit can detect and fix crashes in Android or iOS mobile apps Save time You don't need to reproduce the crash in order to determine its cause. Just send it to the Crashes Page within your project and review all details with a log file Delete duplicated crashes If you are unable to debug your code or know of the crash and don't wish him to appear in your system, click on the Delete button Check log files on your phone If your application crashes, restart it. Click on the notification to confirm. You can instantly check the log file to determine the root cause.

Chrome DevTools are a set of web development tools that is built directly into Google Chrome browser. DevTools allows you to quickly edit pages and diagnose issues on the fly, which in turn helps you build better websites faster. DevTools can be opened in many ways. Different users may want quick access to different parts. To work with the DOM and CSS, right-click on an element on the page. Select Inspect to jump to the Elements panel. Or, press Command+Option+C on Mac or Control+Shift+C on Windows, Linux, and Chrome OS. To jump directly into the Console panel, you can press Command+Option+J or Control+Shift+J on Mac to view logged messages and run JavaScript.

Capture production data. Evaluate outputs together and fine-tune the performance of your LLM. A detailed log overview will help you understand what is happening in production. Work with domain experts, product managers and engineers to create reliable model outputs. Track AI metrics, such as speed, token usage, and quality scores. Copilot automates model evaluations and improvements for your use cases. Create, manage, or optimize prompts for precise and relevant interactions between AI models and users. Compare fine-tuned models and foundation models to improve prompt performance. Build a fine-tuning dataset with your team. Create custom fine-tuning data to optimize model performance.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Instantly provide your enterprise clients with answers and insights based on their business data. You are in a race against time to launch your product and balancing accuracy, latency and costs can be a nightmare. SaaS teams can use pre-configured copilots or custom rulebooks to create the latest technology. Our agents answer questions in simple english. The output is presented in smart insights, visualisations and other formats. Our advanced LLMs detects and generates all of your proactive insights. Our advanced LLMs automatically detect & prioritize & executes actions for you.

Google AI Studio is an online tool that's free and allows individuals and small groups to create apps and chatbots by using natural language prompting. It allows users to create API keys and prompts for app development. Google AI Studio allows users to discover Gemini Pro's APIs, create prompts and fine-tune Gemini. It also offers generous free quotas, allowing 60 requests a minute. Google has also developed a Generative AI Studio based on Vertex AI. It has models of various types that allow users to generate text, images, or audio content.

Unstructured data is the future for AI. This future is now possible. Build an ML/AI pipeline to scale all your unstructured data from one place. Graviti allows you to use better data to create better models. Learn about Graviti, the data platform that allows AI developers to manage, query and version control unstructured data. Quality data is no longer an expensive dream. All your metadata, annotations, and predictions can be managed in one place. You can customize filters and see the results of filtering to find the data that meets your needs. Use a Git-like system to manage data versions and collaborate. Role-based access control allows for safe and flexible team collaboration. Graviti's built in marketplace and workflow creator makes it easy to automate your data pipeline. No more grinding, you can quickly scale up to rapid model iterations.

Deploy LLMs, and other AI - commercial, homegrown, or open-source - on your private network based on a AI-optimized foundation. AI Core is an accurate, real-time representation of your entire business, including all decisions, actions, and processes. Use the Action Graph on top of the AI Core to set specific scopes for LLMs and models - such as hand-off procedures and auditable calculations. Monitor and control LLM activities and reach in real time to help users promote compliance.

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.

Minerva, our proprietary AI platform, is used internally to create AI applications that can perform real-world tasks that require human-level understanding. Minerva's reach increases through the deployment domain-specific AI apps. Minerva adds knowledge, performs more general tasks, and connects dots that humans cannot. These powerful components are used to build our scalable AI apps such as Argus or Supernova. Minerva allows you to create your own AI workforce, and to transcend information complexity to make faster, more accurate decisions. Minerva allows natural user interaction via various dashboards or APIs that allow for the consumption of insight, feedback, and secure integration of Accrete's AI apps into existing enterprise workflows.

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.

A simple web API allows you to fine-tune your LLMs and receive completions. No infrastructure is required. Instantly create private AI applications that comply with SOC2-standards. Our developer platform makes it easy to customize models for your specific use case. Select the base model and define the data that you want to teach. We will take care of everything else. With a single API, you can integrate private LLMs with your applications. No more deployment, orchestration or infrastructure headaches. The most powerful OSS available -- highly generalized capabilities with amazing storytelling and reasoning capabilities. Use a fully unlocked LLM for the best internal automation systems in your company.

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.

RagaAI is a leading AI testing platform which helps enterprises to mitigate AI risks, and make their models reliable and secure. Intelligent recommendations will reduce AI risk across cloud or edge deployments, and optimize MLOps cost. A foundation model designed specifically to revolutionize AI testing. You can easily identify the next steps for fixing dataset and model problems. AI-testing methods are used by many today, and they increase time commitments and reduce productivity when building models. They also leave unforeseen risks and perform poorly after deployment, wasting both time and money. We have created an end-toend AI testing platform to help enterprises improve their AI pipeline and prevent inefficiencies. 300+ tests to identify, fix, and accelerate AI development by identifying and fixing every model, data and operational issue.

Langtail is a platform that allows for the rapid development and deployment of Language Model (LLM) applications. It allows companies to quickly experiment, collaborate and launch production-grade LLM applications. The following are the key features: 1. No-code LLM Playground for quick debugging and ideas 2. Collaborative workspaces to share prompts and insights 3. Comprehensive observability suite including logging and analytics 4. Evaluation framework for systematically evaluating prompt performance 5. Deployment infrastructure to serve prompts via API across multiple environments 6. Future fine-tuning features to improve models based on user feedback Langtail enables both technical and nontechnical teams alike to quickly find LLM use cases that are high-value, refine prompts to ensure reliable performance, and deploy apps with ease. It's an all-in-one solution that will take your LLM project from prototype to production quicker than ever.

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.

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

Discuro is an all-in-one platform that allows developers to quickly build, test and consume complex AI workflows. Our UI makes it easy to define your workflow. When you are ready to execute, just make one API call to Discuro with any inputs and any meta-data. You can use an Orchestrator to feed the generated data back into GPT-3. Integrate with OpenAI to extract the data you need quickly. In minutes, create and consume your own flows. Everything you need to integrate OpenAI at scale has been built by us so that you can concentrate on the product. Integrating with OpenAI is not easy. We'll help you extract the data you need by collecting input/output descriptions. You can easily chain completions together to create large data sets. You can use our iterative input feature for GPT-3 output to feed back in and have us make successive calls to expand your data set. Easy to build and test complex, self-transforming AI workflows and datasets.

The prompt engineering platform allows you to experiment with different prompt versions. You can also evaluate and compare prompts in a series of tests, optimize prompts by one click, share and more. Optimize your AI development workflow. Key features that help you identify and get the best prompts for production use cases. Evaluation allows for a side-by-side comparison between prompts in test cases. Import test cases from CSV and define custom metrics for evaluation. Automatic template and prompt optimization can improve LLM results. View and manage all versions of the prompt and create OpenAI Functions. You can access all your prompts programmatically. This includes observability and analytics. Calculate the cost, latency and effectiveness of each prompt. Parea can help you improve your prompt engineering workflow. Parea helps developers improve the performance of LLM apps by implementing rigorous testing and versioning.

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.