Resources of Large Language Model and AI

# notes # llm

For self-learning purpose, a collection of resources of LLMs shared by the community, as well as some resources related to AI from a more general perspective.

last updated: 05/22/2023


Introduction to LLMs 🔗

Google Cloud, Introduction to Large Language Models. 🔗


Prompt Engineering 🔗

References:
DeepLearning.AI, ChatGPT Prompt Engineering for Developers (a short course) 🔗
Roger Oriol, Maximizing the Potential of LLMs: A Guide to Prompt Engineering 🔗


AI Agent 🔗

Max Woolf, The Problem with LangChain 🔗


Human Computer Interaction 🔗

Talks & Conversations:
Andrew Ng and Fei-Fei Li, Human-Centered Artificial Intelligence 🔗

References:
Park, et al., Generative Agents: Interactive Simulacra of Human Behavior 🔗


Societal Influences 🔗

Talks & Conversations:
Geoffrey Hinton, The “Existential Threat” of AI 🔗

References:
Bubeck, et al., Sparks of Artificial General Intelligence: Early experiments with GPT-4 🔗