• https://cs336.stanford.edu/ contains class info and playlist https://www.youtube.com/watch?v=JuoVZkPBiKk&list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV

Neuronal Network for simulating or modelling gear and equipment.

Comprehensive reference for designing AI experiences. 100 patterns, visual examples, and reusable components for AI UX designers and product teams.

Manage your AI data using Oxen’s state of the art data version control. Blazing fast, and Open source.

flashcards in a private podcast feed. Knowledge in Audio format.

Agent Lightning is the absolute trainer to light up AI agents.

Features - Turn your agent into an optimizable beast with ZERO CODE CHANGE (almost)! 💤 Build with ANY agent framework (LangChain, OpenAI Agent SDK, AutoGen, CrewAI, Microsoft Agent Framework…); or even WITHOUT agent framework (Python OpenAI). You name it! 🤖 Selectively optimize one or more agents in a multi-agent system. 🎯 Embraces Algorithms like Reinforcement Learning, Automatic Prompt Optimization, Supervised Fine-tuning and more. 🤗

Why is it that we craft our work so AI can understand but we do not do so for people?

It’s like we have an expectation people should put forth the effort to understand, but AI has hard limitations, so we have to take extra steps for AI but can be lazy for others.

But what they cannot do is maintain clear mental models.

LLMs get endlessly confused: they assume the code they wrote actually works; when test fail, they are left guessing as to whether to fix the code or the tests; and when it gets frustrating, they just delete the whole lot and start over.

This is exactly the opposite of what I am looking for.

Web review of Ervin

Lecture by Sergey Levine about progress on real-world deep RL. Covers these papers:A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinfor…

Emulate guitar amps and pedals with deep learning, in Go. - nlpodyssey/waveny: Emulate guitar amps and pedals with deep learning, in Go.

These 13 free AI courses, from OpenAI and DeepLearning, range from beginner to intermediate, and did we mention they’re free?