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I’m an independent AI engineer helping companies build robust AI-powered products.
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The Anatomy of Tool Calling
Giving an LLM the capability to call some external function based on the user's input and receive the results back is a very powerful pattern and a key element behind the rapid rise of agentic workflows. This pattern powers many of the features we see on
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Evals for Diversity in Synthetic Data
Synthetic data is a popular approach for bootstrapping an initial dataset when building LLM-based applications. We can find practical examples of synthetic data usage in the wild such as: Generating synthetic user queries from existing documents to evalua
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Zero-Cost Custom Feeds on Bluesky
Background I recently built a custom feed on Bluesky to capture the latest discussions on pre-prints from arxiv.org and research papers from conferences like ACL. It was inspired by this bluesky post from a researcher requesting for such a feed. While the
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Parallel Processing with tqdm
tqdm is a popular library that's widely used in a bunch of open-source python ML libraries for displaying progress bars. As such, it's already pre-installed as a dependency when working on machine learning projects. shell pip show tqdm Required-by: datase
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A Visual Guide to Regular Expression
A mental model of how various components of a regular expression work from the bottom-up.
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