garak Integrations

OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions.

Build natural language understanding and generation into your product with a few lines of code. The Cohere API provides access to models that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use. Use the Cohere API to write human-like text by completing a prompt or filling in blanks. You can write copy, generate code, summarize text, and more. Compute the likelihood of text and retrieve representations from the model. Use the likelihood API to filter text based on chosen categories or selected criteria. With representations, you can train your own downstream models on a wide variety of domain-specific natural language tasks. The Cohere API can compute the similarity between pieces of text, and make categorical predictions by comparing the likelihood of different text options. The model has multiple lenses through which to view ideas, so that it can recognize abstract similarities between concepts as distinct as DNA and computers.

A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models. AutoTrain is an automatic way to train and deploy state-of-the-art Machine Learning models, seamlessly integrated with the Hugging Face ecosystem. Your training data stays on our server, and is private to your account. All data transfers are protected with encryption. Available today: text classification, text scoring, entity recognition, summarization, question answering, translation and tabular. CSV, TSV or JSON files, hosted anywhere. We delete your training data after training is done. Hugging Face also hosts an AI content detection tool.

Machine learning can now do some extraordinary things: it can understand the world, drive cars, write code, make art. But, it's still extremely hard to use. Research is typically published as a PDF, with scraps of code on GitHub and weights on Google Drive (if you’re lucky!). Unless you're an expert, it's impossible to take that work and apply it to a real-world problem. We’re making machine learning accessible to everyone. People creating machine learning models should be able to share them in a way that other people can use, and people who want to use machine learning should be able to do so without getting a PhD. With great power also comes great responsibility. We believe that with better tools and safeguards, we'll make this powerful technology safer and easier to understand.

Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

OctoAI is world-class compute infrastructure for tuning and running models that wow your users. Fast, efficient model endpoints and the freedom to run any model. Leverage OctoAI’s accelerated models or bring your own from anywhere. Create ergonomic model endpoints in minutes, with only a few lines of code. Customize your model to fit any use case that serves your users. Go from zero to millions of users, never worrying about hardware, speed, or cost overruns. Tap into our curated list of best-in-class open-source foundation models that we’ve made faster and cheaper to run using our deep experience in machine learning compilation, acceleration techniques, and proprietary model-hardware performance technology. OctoAI automatically selects the optimal hardware target, applies the latest optimization technologies, and always keeps your running models in an optimal manner.