Signals

Exploring how Markov chains serve as foundational language models and their relationship to modern LLMs through temperature control and state transitions.

Discussion of advanced techniques for constraining LLM outputs using structured generation libraries like Guidance and LLGuidance.

How BlackRock's engineering team overcame challenges in building and deploying AI applications at scale for investment operations teams.

How to build reliable AI systems while navigating the rapid pace of LLM evolution and the tension between domain knowledge and scalable methods.

Stripe enters the blockchain space with Tempo, an L1 blockchain focused on stablecoin utility for real-world business applications.

Key insights on building robust evaluation systems that enable rapid model updates and continuous improvement in AI applications.

A foundational AI research insight: general computational methods ultimately outperform human knowledge-based approaches.

Discussion on how complex algorithmic problems can be simplified using constraint solvers, and the trade-offs between custom solutions and dependency management.

A practical guide demonstrating how economists can build sophisticated AI agents for autonomous research tasks using modern frameworks like LangGraph.

A general audience introduction to how large language models like ChatGPT are built, from data collection to neural network training.