Analysis of Claude Opus 4.5 LLM release and the growing difficulty in evaluating incremental improvements between AI models.
A guide to the four main methods for evaluating Large Language Models, including code examples and practical implementation details.
Explores four main methods for evaluating Large Language Models (LLMs), including code examples for implementing each approach from scratch.
Explains why AIC comparisons between discrete and continuous statistical models are invalid, using examples with binomial and Normal distributions.
A hands-on review of Google's updated Gemini Deep Research tool with the 2.5 Pro model, covering its features, usability, and areas for improvement.
A detailed comparison of Anthropic's Claude 3 and the newer Claude 3.5 Sonnet AI models, covering performance, capabilities, and benchmarks.
A developer compares 8 LLMs on a custom retrieval task using medical transcripts, analyzing performance on simple to complex questions.
