• Building qareen: My Experience with Multi-Agent Coding

    A few weeks ago I shipped qareen, a framework for picking better few-shot examples. The algorithm is useful, but honestly? The interesting part was how I built it: by conducting a small orchestra of AI coding agents.

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  • A Summary of Anthropic's Persona Vectors Research

    In a recent paper, researchers at Anthropic introduced a fascinating new concept called “persona vectors.” This research tackles a critical challenge in AI safety: understanding and controlling the often unpredictable personalities of large language models (LLMs).

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  • Using LangChain to Reduce LOC of a Chatbot

    Last month I rebuilt a chatbot that had grown into a spaghetti monster of API calls, prompt templates, and “temporary” fixes that somehow survived six sprints. The kind of code where developers are afraid to change anything because something will break, they just don’t know what.

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  • Training Deep Neural Networks with Batch Normalization

    Since its inception in 2015 by Ioffe and Szegedy, Batch Normalization has gained popularity among Deep Learning practitioners as a technique to achieve faster convergence by reducing the internal covariate shift and to some extent regularizing the network. We discuss the salient features of the paper followed by calculation of...

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