Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text, image, audio, and video by approximating Solomonoff induction.
Mastering Scientific and Algorithmic Discovery with AlphaEvolve
AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in science and engineering.
A Deep Dive into J1’s Innovative Reinforcement Learning
J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable rewards to deliver unbiased, accurate evaluations—without human labels.
A Deep Dive into Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Absolute Zero enables language models to teach themselves complex reasoning through self-play—no human-labeled data required. Discover how AZR learns coding and logic tasks using autonomous task creation, verification, and reinforcement.
A Deep Dive into Continuous Thought Machines
Explore the Continuous Thought Machine (CTM), a neural network architecture that integrates neuron-level timing and synchronization to bridge the gap between AI and biological intelligence.
Mastering AI Code Execution in Secure Sandboxes with E2B
Explore how E2B provides secure, isolated sandboxes for running AI-generated code with LLaMA-3 on Together AI—ideal for building safe, intelligent data workflows and autonomous agents.
How L&D Leaders Can Drive AI Readiness Across the Enterprise?
A strategic guide to AI Readiness helping L&D leaders align talent, tools, and training for the agentic future.
A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources, offering an ethical alternative to centralized model training.
DeepSeek-Prover-V2 for Mastering Mathematical Reasoning
DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top results on benchmarks.
A Practical Guide to Enabling AI Agent Browser Control using Browser-use
Browser-Use is an open-source Python library that lets LLM-powered agents interact with websites via natural language, enabling real-world automation like job applications, research, and e-commerce.