0% Pass Rate: New Benchmark Stumps All AI Models
The creators of SWE-Bench release a devastating new benchmark where Claude, GPT, and Gemini all score zero, exposing fun…
🏷️ LLM evaluation
10 articles about 'LLM evaluation'
Evaluate LLM Outputs With RAGAS and DeepEval
A practical guide to measuring LLM quality using RAGAS and DeepEval, two leading open-source evaluation frameworks.
W&B Launches MLOps Platform for LLM Evaluation
Weights and Biases unveils a dedicated MLOps platform designed to streamline LLM evaluation pipelines for enterprise AI …
IIT Bombay Builds Benchmark for Low-Resource AI
IIT Bombay researchers release a comprehensive evaluation framework targeting AI performance across dozens of underserve…
Do AI Benchmarks Actually Measure Intelligence?
A growing debate among researchers and industry leaders questions whether popular AI benchmarks reflect genuine intellig…
W&B Launches Weave 2.0 for Automated LLM Eval
Weights and Biases releases Weave 2.0, a comprehensive automated evaluation framework designed to streamline LLM testing…
W&B Launches Weave for LLM Monitoring
Weights and Biases releases Weave, an open-source platform for monitoring, evaluating, and debugging LLM applications in…
Evaluate LLM Output Quality With RAGAS Framework
A complete guide to using the RAGAS framework for measuring and improving LLM output quality in RAG pipelines.
MathNet Brings 30K Competition Problems to AI Benchmarking
MathNet introduces 30,000 competition-level math problems to rigorously test AI mathematical reasoning, raising the bar …
Study Reveals Self-Preference Bias in LLM Judges and Proposes Mitigation Strategies
A latest arXiv paper systematically quantifies the 'self-preference bias' phenomenon when large language models serve as…
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