Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data…
Author: script
Elastic KV Cache for LLM Serving:A Working Reclamation Mechanism, and Why Chunked Prefill Already Closes the Gap
arXiv:2608.23658v1 Announce Type: cross Abstract: An LLM serving engine sizes its key-value (KV) cache once, at startup, permanently setting aside a…
AI Isn’t Ready for the Real Work: Why Models Flunk Complex Tasks
Investors in the AI bubble beg white collar professionals to hand over their hardest problems and promise workers that they’ll get their afternoons back…
REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring
arXiv:2608.23611v1 Announce Type: cross Abstract: Large Language Models (LLMs) offer new opportunities for automated code refactoring. However, generated…
Connect Amazon Bedrock AgentCore to cross-account knowledge bases
Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless…
When May an Agent Stop? Evidence-Carrying Termination for Tool-Using LLMs
arXiv:2608.23623v1 Announce Type: cross Abstract: Tool-using agents must decide when to stop. Existing systems already gate terminal success, certify…
Radar makes podcasts searchable — and usable by AI agents
Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and…
Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal
arXiv:2608.23616v1 Announce Type: cross Abstract: An AI agent’s rebuild is only as good as the process that produced it. Prior work found that once a…
Sundar Subramanian, CEO of Zyter – Interview Series
Sundar Subramanian, CEO of Zyter, is an experienced strategy and healthcare executive with a background spanning management consulting, digital…
Macro-Operator Generation and Predicate Selection for TAMP Operator Learning
arXiv:2608.23629v1 Announce Type: cross Abstract: Creating symbolic operators by hand is one of the main bottlenecks in deploying Task and Motion Planning…