Reducing Time to Value for Data Science Projects: Part 3
Parts 1 and 2 of this series focussed on the technical aspect of improving the experimentation process. This started with ...
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Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain
, I walked you through setting up a very simple RAG pipeline in Python, using OpenAI’s API, LangChain, and your ...
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Are You Being Unfair to LLMs?
hype surrounding AI, some ill-informed ideas about the nature of LLM intelligence are floating around, and I’d like to address ...
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Building a Сustom MCP Chatbot | Towards Data Science
a method to standardise communication between AI applications and external tools or data sources. This standardisation helps to reduce the ...
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The Crucial Role of NUMA Awareness in High-Performance Deep Learning
world of deep learning training, the role of the ML developer can be likened to that of the conductor of ...
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Work Data Is the Next Frontier for GenAI
, the work output of knowledge workers, is the single most valuable data source for LLM training, uniquely capable of ...
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How to Fine-Tune Small Language Models to Think with Reinforcement Learning
in fashion. DeepSeek-R1, Gemini-2.5-Pro, OpenAI’s O-series models, Anthropic’s Claude, Magistral, and Qwen3 — there is a new one every month. ...
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Run Your Python Code up to 80x Faster Using the Cython Library
excellent language for rapid prototyping and code development, but one thing I often hear people say about using it is ...
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The Five-Second Fingerprint: Inside Shazam’s Instant Song ID
This post continues Behind the Tap, a series exploring the hidden mechanics of everyday tech — from Uber to Spotify to search ...
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GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations
the world of financial services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is ...
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