4 entries
Keyword: llm-evaluationLink:Open LLM Leaderboard Team
The organisation maintaining the Open LLM Leaderboard on Hugging Face provides datasets and benchmarks to track, rank, and evaluate open LLMs and chatbots.
From Video: Weekly AI Updates: Vulkan, Mojo, Kimi K3, and Emerging Agent Frameworks
Link:d-squared70.github.io
A hands-on guide details how to turn Claude into a reliable assistant using structured skills, binary checklists, and dedicated grading subagents.
From Video: Systematic AI Skill Training Using Blind Testing and Evaluation Loops
X post:Hamel Husain
Hamel Husain and Shreya Shankar have updated their eval skills plugin. The main addition is an error-discovery skill that allows coding agents to generate custom review apps from AI outputs or trace files.
1.1kbookmarks71kviews
VideoVideo:Dylan Davis
Dylan Davis demonstrates a structured framework for training Claude skills and system prompts akin to onboarding an employee. Rather than relying on one-off successes or subjective vibe checks, he advocates for interactive skill authoring, strict separation of build and test data, automated sub-agent evaluation, and minimal iterative prompt adjustments.
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