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Research-Grade EdgeBench Analysis: AI Agent Benchmarking, Leaderboard Analytics, Scaling Laws, and Evaluation Metrics
In this tutorial, we explore EdgeBench as a practical benchmark for evaluating advanced AI agents across diverse task categories, runtime environments, and interaction-time budgets. We…
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Loop Engineering for RAG Generation: iterate top-k one at a time
The user asks “what is the effective date of this policy?”. Retrieval…
Google commits $40M to the Genesis Mission
Scientists today face challenges of extraordinary scale and complexity. From shaping and…
Build an LLM Agent That Can Write and Run Code
is probably one of the most useful capabilities we can give to…
Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real Security Judgment
1. The number you should not trust An agent skill is a…
Unsloth vs Axolotl vs TRL vs LLaMA-Factory: A Fine-Tuning Framework Comparison on Speed, VRAM, and Multi-GPU
Four open source projects dominate LLM fine-tuning today. Unsloth, Axolotl, TRL, and…
Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases
Cisco Foundation AI has released Antares, a family of security small language…
Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual
Poolside has released Laguna S 2.1, a 118B-parameter open-weight model built for…
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