Evaluating LLMs for TLA+ System Modeling: The Specula Team's Experience with Claude and Raft
Editors’ note: AI has been actively pushing the frontier of applied formal methods for computing systems. In this article, the Specula team wrote about their experience of evaluating LLMs on modeling…
Read the full articleYou might also wanna read
LLM Pipelines Explained: How to Choose Between Chains, Flows, and Orchestrators
As AI developers increasingly string multiple LLM calls together, choosing the right tool to manage these workflows has become a common sour
LAI #134: Your First LLM App on AWS for Under a Dollar
Loop engineering with Claude Code, plus a Towards AI enterprise launch, vLLM on L40S, and context windows as memory management Good morning,
Are Multi-Agent Systems the Key to Unlocking LLM Potential?
Large Language Models (LLMs) struggle with scalability, but Multi-Agent Systems (MAS) could offer a breakthrough by distributing tasks among
How we built a Linear coding agent: the hard parts
Building a production coding agent that lives in Linear. Wrapping Claude Code and Codex as child processes, surviving state loss from archiv
Loop Engineering: Building Reliable AI Agents Through Stacked Loops and LangChain Instrumentation
Agents automate real-world work, but reliable performance requires more than a good model, it requires a carefully designed harness built fo
langchain.com·23d ago
The Essential Architecture of Production-Grade AI Agents: Beyond LLMs and RAG
Beyond Chatbots: The Essential Architecture of Production-Grade AI Agents + Video - "Undercode Testing": Monitor hackers like a pro. Get rea
undercodetesting.com·23h ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.