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Build AI agents from scratch — ReAct, Tool Use, Multi-Agent orchestration
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SQL, Pandas, Statistics — everything for data-driven decisions
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RDF, OWL, Neo4j, and GraphRAG for knowledge-powered AI
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AI-powered mock interviews — practice with real questions and get instant feedback
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CLAUDE.md, .cursorrules, AGENTS.md — How to Give Context to AI Coding Agents
The complete guide to Claude Code CLAUDE.md, Cursor .cursorrules, and the universal AGENTS.md standard. All the ways to give your AI agent project context.
InternVL-U: Understanding + Generation + Editing in One 4B Model -- A New Standard for Unified Multimodal AI
Shanghai AI Lab's InternVL-U. A single 4B parameter model handles image understanding, generation, editing, and reasoning-based generation. Decoupled visual representations outperform 14B BAGEL on GenEval and DPG-Bench.
Hybrid Mamba-Transformer MoE: Three Teams, One Architecture -- The 2026 LLM Convergence
NVIDIA Nemotron 3 Nano, Qwen 3.5, and Mamba-3 independently converge on 75% linear layers + 25% attention + MoE. 88% KV-cache reduction, O(n) complexity for long-context processing.
Spectrum: 3-5x Diffusion Speedup Without Any Training -- The Power of Chebyshev Polynomials
CVPR 2026 paper from Stanford/ByteDance. Chebyshev polynomial feature forecasting achieves 4.79x speedup on FLUX.1, 4.56x on HunyuanVideo. Training-free, instantly applicable to any model.
PremiumBuild Your Own autoresearch — Applying Autonomous Experimentation to Any Domain
Apply the autoresearch pattern to text classification, image classification, and RAG pipelines. Includes a universal experiment runner and program.md template.
PremiumRunning autoresearch Hands-On — Overnight Experiments on a Single GPU
From environment setup to agent execution and overnight results analysis. Tuning guide for smaller GPUs and practical tips.