Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
This project offers a curated guide to Large Language Models (LLMs) and their practical applications. It provides insights into various LLM models, data considerations, and NLP tasks, helping users understand what goes into these models and what capabilities they offer. It's designed for data scientists, NLP engineers, and researchers who want to apply LLMs in real-world scenarios.
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Use this if you are a practitioner looking for a comprehensive overview and practical guidance on navigating the vast landscape of LLMs for your natural language processing applications.
Not ideal if you are looking for ready-to-use code implementations or a tutorial on training LLMs from scratch.
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May 31, 2024
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