It is a general video interaction platform based on large language models. Build a chatbot for video understanding, processing, and generation. | It is the enterprise-grade stack for building AI products. It helps evaluate your LLM app, so you can quickly and confidently ship to production. It also provides a Typescript/Python library to log evaluation experiments and production data. |
General video interaction platform;
Video understanding, processing and generation | Evaluations;
Prompt playground;
Continuous integration;
Access the world's best AI models with a single API |
Statistics | |
GitHub Stars 253 | GitHub Stars - |
GitHub Forks 18 | GitHub Forks - |
Stacks 2 | Stacks 1 |
Followers 4 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

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It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

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Build, train, and deploy state of the art models powered by the reference open source in machine learning.

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