LLM Finetuning Hub
#160in Text & Language ModelsWhat is LLM Finetuning Hub?
It contains code and insights to fine-tune various large language models (LLMs) for different use cases. It also provides an evaluation framework to compare the performance, time, cost, and inference of different LLMs, both open-source and closed-source. It aims to make fine-tuning LLMs easier and more accessible.
LLM Finetuning Hub is a tool in the Text & Language Models category of a tech stack.
Key Features
Fine-tune various large language models (LLMs) for different use casesProvides an evaluation framework that measures the performance, time, cost, and inference
LLM Finetuning Hub Pros & Cons
Pros of LLM Finetuning Hub
No pros listed yet.
Cons of LLM Finetuning Hub
No cons listed yet.
LLM Finetuning Hub Alternatives & Comparisons
What are some alternatives to LLM Finetuning Hub?
LangChain
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.
Vercel AI SDK
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.
Hugging Face
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
