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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 ...

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

https://mesuvash.github.io/blog/2026/rl_for_llm/ Intuition-First Guide to Reinforcement Learning for LLMs This guide explores the ...

OptiMind is a specialized language model that translates natural-language problem descriptions directly into solver-ready ...

https://rlhfbook.com/c/06-policy-gradients Reinforcement Learning | RLHF Book by Nathan Lambert This text provides a technical ...

This is a quick overview of modern LLMs like GPT-2 This video is inspired by 3b1b's videos and Andrej Karpathy's "Zero to Hero" ...

Check out with MiniMax: https://x.com/MiniMax_AI/status/2021980761210134808?s=20 Explore MaxClaw/MiniMax Agent: ...

This project demonstrates a wireframe renderer in C. It uses manual transformations and perspective projection without using ...

In this AI Research Roundup episode, Alex discusses the paper: 'LLMs Can Learn to Reason Via Off-Policy RL'. Traditional ...

Most people think Machine Learning is just importing libraries and hitting "run." But if you don't understand the underlying math, ...

A deep dive into automatic differentiation, revealing how to compute model sensitivities accurately and efficiently in real world ...

Large language models (LLMs) exhibit sophisticated behavior, notably solving arithmetic with only a few in-context examples ...

Why im learning zig as a math major as my only programming language.

In this video, we put the Qwen 3.5 0.8B GGUF to the test. Despite its tiny parameter count, this model is a breakthrough in ...

It's been a long journey with CVXPY since the project started in 2013. This talk covers the origins of CVXPY and some of the ...

We empirically explore the design principles and performance optimization plans of the next-generation native multi-modal ...

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

https://www.alphaxiv.org/abs/1412.6980 The Architecture of Stochastic Optimization The provided text introduces a technical ...

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