This paper presents a multi-agent AI architecture that achieves 92.1% reliability by organizing specialized AI agents into teams with opposing roles and hierarchical oversight, similar to corporate organizational …
GEPA introduces a novel prompt optimization approach that uses natural language reflection and Pareto-based evolutionary search to optimize compound AI systems, achieving superior performance compared to reinforcement …
A randomized controlled study examining how AI assistance affects skill formation in software development, finding that while AI can improve productivity, it significantly impairs conceptual understanding, code reading, …
LLMDFA introduces a novel framework that leverages Large Language Models to perform dataflow analysis on code without requiring compilation, achieving 87.10% precision and 80.77% recall for bug detection. The approach …
A new BCG experiment reveals that GenAI enables workers to perform complex tasks beyond their current skillset, such as data science work, even without prior coding experience. The study shows GenAI acts as an …
After analyzing over 50 agentic AI implementations, this article reveals six critical lessons for successfully deploying AI agents in enterprise workflows. The key insight is that success comes from reimagining entire …
Learn how Airbnb reduced a massive React testing library migration from 18 months to 6 weeks using AI-powered automation. This talk covers four foundational techniques for leveraging AI in code migrations, including …
This comprehensive research paper introduces Generative Engine Optimization (GEO) as a new paradigm for optimizing content visibility in AI-powered search engines like ChatGPT, Perplexity, and Gemini. The study reveals …
This paper investigates how Claude 3.5 Haiku performs linebreaking in fixed-width text by representing character counts on curved manifolds and using attention heads to geometrically transform these representations for …
Letta agents achieve 74% accuracy on the LoCoMo memory benchmark using simple filesystem operations instead of specialized memory tools, suggesting that agent capabilities matter more than complex retrieval mechanisms …
A comprehensive walkthrough of modern large language model applications, covering everything from basic text interactions to advanced features like voice mode, image processing, code generation, and tool integration …
A comprehensive analysis of the AI investment landscape covering market opportunities, business model innovations, infrastructure buildout, and the evolution of private markets. Discusses how AI companies are achieving …
A comprehensive tutorial on implementing a GPT-style transformer from scratch, covering self-attention mechanisms, multi-head attention, and the complete architecture needed to build a language model capable of …
