Hamel Husain
PulseAugur coverage of Hamel Husain — every cluster mentioning Hamel Husain across labs, papers, and developer communities, ranked by signal.
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Data scientists' core skills are essential for AI harness engineering and evaluation
The role of data scientists is evolving with the rise of large language models, shifting from direct model training to a focus on the "harness" that guides AI systems. While foundation model APIs reduce the need for tra…
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AI coding tools disrupt nbdev workflow, prompting developer shift
Hamel Husain, a former proponent of the literate programming tool nbdev, has stopped using it due to the rise of AI coding assistants. He found that nbdev's unique workflow, which combines code, documentation, and tests…
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Hamel Husain advises AI product teams on selecting evaluation tools and building robust systems.
Hamel Husain, an AI consultant, emphasizes the critical need for robust evaluation systems in developing successful AI products, drawing from his experience with projects like CodeSearchNet and Rechat's AI assistant, Lu…
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Hamel Husain argues Retrieval-Augmented Generation (RAG) is not dead
Hamel Husain, an experienced machine learning engineer, argues against the notion that Retrieval-Augmented Generation (RAG) is obsolete. He emphasizes the importance of "evals" – debugging, analyzing, and measuring AI s…
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Technical writer shares strategies for building an audience through AI content
Technical writer Hamel Husain shares strategies for building an audience, emphasizing authentic engagement with others' work and consistent content creation. He advises developers to add value to existing discussions an…
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Fine-tuning LLMs still valuable for niche syntax, style, and rules
Fine-tuning large language models remains a valuable technique, particularly for tasks requiring specific syntax, style, or rules, according to Hamel Husain. While prompt engineering is a crucial first step for testing …
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Hamel Husain shows how to intercept LLM API calls and prompts
Hamel Husain's blog post argues for the importance of understanding the exact prompts sent to large language models, even when using abstraction frameworks. He criticizes some tools for obscuring the prompts, which hind…
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Hamel Dev offers Axolotl debugging tips for LLM fine-tuning
Hamel Husain has published a guide on debugging the Axolotl project, a tool for fine-tuning large language models. The guide offers practical tips such as simplifying test scenarios, using smaller datasets and models, a…