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https://github.com/meituan-longcat/LongCat-Flash-Prover LongCat-Flash-Prover: Native Formal Reasoning via Agentic ...

DSPy turns RAG tuning from guesswork into metric-driven optimization—learn a reproducible workflow to tune retrieval and ...

This chapter introduces the foundational concepts of computation models, exploring how the flexibility of an automaton's ...

Are you still manually synchronizing your Block Definition Diagrams (BDDs) and Internal Block Diagrams (IBDs)? The structural ...

Four massive open source AI tools just dropped within days of each other — and honestly this might be the biggest free AI week of ...

Learn how NanoGPT makes large language model training accessible and efficient. We explore the architecture, optimization ...

Can an AI build a rigorous, step-by-step logical argument that is absolutely undeniably correct? In this video, we break down ...

What are Partial Derivatives and why are they important in Artificial Intelligence? In this video, we visually explain **partial ...

Most people evaluate prompts the wrong way. In this video, I show why uniform prompt testing wastes your LLM eval budget and ...

Using Karpathy's autoresearch paradigm for agent-based modelling (ABM) using the mesa library, on Claude web.

Meta just open-sourced HyperAgents — self-referential, self-improving agents that can optimize for any computable task.

https://cs.au.dk/~amoeller/spa/spa.pdf Static Program Analysis: Principles and Applications These excerpts from "Static Program ...

Learn how to implement Rotary Position Embedding (RoPE) from scratch using OpenAI Triton. In this tutorial, we translate the ...

Modern systems engineering has reached its limit with traditional tools. In this introductory video, we explore why SysML V2 is the ...

MiniMax M2.7 is the first model showing real signs of self-evolution — it analyzes its own failures, modifies its harness, and ...

You'll learn what a Large Language Model (LLM) is, how it powers tools like ChatGPT, and why it acts like the world's smartest ...

04:58 JuMP.jl https://github.com/jump-dev/JuMP.jl Modeling language for Mathematical Optimization (linear, mixed-integer, conic, ...

In this AI Research Roundup episode, Alex discusses the paper: 'PivotRL: High Accuracy Agentic Post-Training at Low Compute ...

Hello and welcome back to another video, today we are starting a brand new series where we learn how Python can predict data.