Machine Intelligence - 2025

A chronological archive of Machine Intelligence reading list posts.

2024

April 2024

πŸ”— How (Specifically) AI Will 100x Human Creativity and Output

πŸ”— Enhancing GPT's Response Accuracy Through Embeddings-Based Search

πŸ”— VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

πŸ”— Here’s Proof You Can Train an AI Model Without Slurping Copyrighted Content

πŸ”— Transformer Math 101

πŸ”— Screen Recording to Code

πŸ”— GR00T: NVIDIA's moonshot to solve embedded AI

πŸ”— Awesome Code AI

πŸ”— This prompting technique is insanely useful

πŸ”— Natural language instructions induce compositional generalization in networks of neurons

πŸ”— What Computers Cannot Do: The Consequences of Turing-Completeness

πŸ”— Replicate.com

πŸ”— What Is an AI Anyway? | Mustafa Suleyman | TED

πŸ”— CometLLM: Logging and Visualizing LLM Prompts

πŸ”— Cheat Sheet: 5 prompt frameworks to level up your prompts

πŸ”— 3Blue1Brown: Neural Networks

πŸ”— Accelerating AI Image Generation with MIT's Novel Framework

πŸ”— Anthropic's Prompt Engineering Interactive Tutorial

πŸ”— RAFT: A new way to teach LLMs to be better at RAG

πŸ”— LLM inference speed of light

πŸ”— Stanford AI Index Report 2024: An In-depth Analysis of AI's Current State

πŸ”— LLM in a flash: Efficient Large Language Model Inference with Limited Memory

πŸ”— Outset.ai: Revolutionizing User Surveys with GPT-4

πŸ”— The Death of the Big 4: AI-Enabled Services Are Opening a Whole New Market

πŸ”— OpenAI Create Batch

πŸ”— The Question No LLM Can Answer

πŸ”— Comprehensive Guide to AI Tools and Resources

πŸ”— The Pipe

πŸ”— An Agentic Design for AI Consciousness

πŸ”— Looking for AI Use Cases

πŸ”— Financial Market Applications of LLMs

πŸ”— Dify

πŸ”— OpenAPI AutoSpec

πŸ”— The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey


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