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Model Evaluation

203 summarised stories about Model Evaluation, each linking back to the original source. Browse all topics →

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OpenAI Anthropic GPT-6 Astra Google MarkTechPost Hugging Face

Thursday, 15 October 2026

OpenAI promised developers six months’ notice. GPT-4o users got three.

The New Stack 1 day ago 37

OpenAI will retire GPT-4o, GPT-4o mini, GPT-4.1, and GPT-4.1 mini from its API on January 14, 2027, including dated snapshots and fine-tunes based on them. The deprecation notice delivered Wednesday gives developers about 3 months to migrate production traffic. Developers must move to GPT-6 Luna and adjust API usage and settings because tool-calling and reasoning behavior differs, including limits on temperature/top_p/logprobs and the need to use the Responses API for combined reasoning plus tools.

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OpenAI AI APIs & Integration Model Releases Model Evaluation

CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data

MarkTechPost 2 days ago 7

CopilotKit released CLiF, a continual learning platform that captures both agent traces and users’ product actions and converts them into skills, evals, and fine-tuning datasets. The platform is available in early access. It changes agent training by using full-stack trajectories on a single timeline (via AG-UI) to automate learning and produce production-based evaluation and training data from real workflows rather than hand-written cases.

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AI Agents Developer Tools Model Evaluation Agent Training

Microsoft Research Forecast Fix Improves Mid-Range Weather Predictions

Microsoft Research 2 days ago 29 ● 2 sources

Microsoft Research released Probabilistic Bias Correction, a machine-learning post-processing framework that learns a weather model’s past errors and corrects them for improved sub-seasonal forecasts. In early testing, it boosted the European Centre for Medium-Range Weather Forecasts (ECMWF) debiased model performance for 98% of precipitation, 92% of temperature, and 91% of pressure targets, and MicroDuet won an AI Weather Quest competition for every weather variable and lead time. The result is more reliable 2-to-6-week temperature, precipitation, and pressure probabilities, including improved monsoon forecasts being piloted in Kenya.

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AI Benchmarking Model Evaluation Microsoft

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