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斯坦福 CS25: Transformers United V4

Appears in 5 awesome lists

This course delves into the transformative role of Transformers in deep learning, particularly their impact on the advancement of language models like ChatGPT and GPT-4.

Open web.stanford.edu

Found in these lists

FYI

Section: Large Language Models (LLMs)

ActiveScore 79

Awesome AIGC Tutorials

Section: LLMs in Practice · This course delves into the transformative role of Transformers in deep learning, particularly their impact on the advancement of language models like ChatGPT and GPT-4.

StaleScore 54

Awesome LLM Resources

Section: 课程 Course

FreshScore 87

awesome-nlp

Section: Videos and Online Courses · seminar series with guest lectures from authors of recent transformer and NLP research.

FreshScore 90

Ultimate-Awesome-Transformer-Attention

Section: References

StaleScore 40

LangChain

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

In 20 listsDetails

Prompt Engineering Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

In 11 listsDetails

Claude

is a large language model developed by Anthropic that excels at complex reasoning, code generation, and analysis tasks. Built with Constitutional AI principles, Claude provides reliable assistance for programming, writing, research, and problem-solving while maintaining safety and accuracy.

In 10 listsDetails

OpenAI Cookbook

OpenAI's cookbook includes examples of prompt engineering.

In 9 listsDetails

OpenRouter

OpenRouter.ai is a platform that provides access to a wide range of large language models, including open-source and proprietary options like ChatGPT, Gemini, and Perplexity, allowing users to find the best models and pricing for their prompts and use cases website | docs

In 6 listsDetails

Awesome LLM

A curated list of papers, projects, and resources related to Large Language Models.

In 5 listsDetails

generative-ai-for-beginners

21 lessons covering generative AI fundamentals, prompt engineering, RAG applications, fine-tuning, and LLM app deployment with practical exercises.

In 5 listsDetails

RAG Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

In 5 listsDetails