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LLM application: Neurips2022-Foundational Robustness of Foundation Models

LLM application: ICML2022-Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models

LLM application: GPT in 60 Lines of NumPy

| [LLM‑RL‑Visualized (中文)](https://github.com/changyeyu/LLM-RL-Visualized) - 100+ LLM / RL Algorithm Maps📚.

it comes with a [GitHub repository](https://github.com/benman1/generative_ai_with_langchain) that showcases a lot of the functionality

explains how to code a Generative Pre-trained Transformer, or GPT, from scratch.

Explore the world of Large Language Models with over 275 custom made figures in this illustrated guide!

An Introductory LLM Textbook Based on [*A Survey of Large Language Models*](https://arxiv.org/abs/2303.18223).

LLM application: Why did all of the public reproduction of GPT-3 fail?

LLM application: A Stage Review of Instruction Tuning

LLM application: LLM Powered Autonomous Agents

LLM application: Why you should work on AI AGENTS!

LLM application: Google "We Have No Moat, And Neither Does OpenAI"

LLM application: AI competition statement

LLM application: Noam Chomsky: The False Promise of ChatGPT

LLM application: Is ChatGPT 175 Billion Parameters? Technical Analysis

LLM application: The Next Generation Of Large Language Models

LLM application: Large Language Model Training in 2023

LLM application: How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources

LLM application: Open Pretrained Transformers