It integrates powerful language models like ChatGPT into scikit-learn for enhanced text analysis. It automates querying the OpenAI API, converts the response into labels, and ensures valid labels are obtained.
Scikit-LLM is a tool in the Models & Inference category of a tech stack.
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Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.
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 is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
ChatGPT are some of the popular tools that integrate with Scikit-LLM. Here's a list of all 1 tools that integrate with Scikit-LLM.