Blog Posts | Joshua Berkowitz

4 Articles

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Understanding and Reducing Hallucinations in AI Language Models

AI language models have made remarkable progress, but they still sometimes produce answers that sound plausible yet are factually incorrect. These so-called hallucinations remain a significant challen...

AI evaluation hallucination language models machine learning model training OpenAI

Oct 25, 2025

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Unlocking Agentic Potential: Best Practices for Building AI Tools from Anthropic

Innovative AI agents are transforming workflows, but their effectiveness relies heavily on the quality of tools crafted for them. As systems powered by large language models like Claude and Codex beco...

AI agents automation Claude evaluation Model Context Protocol prompt engineering token efficiency tool design

Sep 16, 2025

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Scaling Research with Multi-Agent AI: Lessons from Anthropic's System

Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson...

AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design

Jul 27, 2025

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HELMET: Raising the Bar for Long-Context Language Model Evaluation

The rapid advancement of long-context language models (LCLMs) is transforming what AI can do, from digesting entire books to managing vast swaths of information in a single pass. Despite this progress...

AI benchmarks evaluation long-context models model-based evaluation open-source models retrieval-augmented generation summarization

Jun 6, 2025

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