There and Back Again: An AI Career Journey
[ad_1] I had wide-eyed ambitions to be an Artificial Intelligence developer. I studied all the latest material. By that I ...
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Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare
[ad_1] in the field of large language models (LLM) and their applications is extraordinarily rapid. Costs are coming down and ...
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Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
[ad_1] of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive ...
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Reducing Time to Value for Data Science Projects: Part 3
[ad_1] Parts 1 and 2 of this series focussed on the technical aspect of improving the experimentation process. This started ...
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Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain
[ad_1] , I walked you through setting up a very simple RAG pipeline in Python, using OpenAI’s API, LangChain, and ...
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Are You Being Unfair to LLMs?
[ad_1] hype surrounding AI, some ill-informed ideas about the nature of LLM intelligence are floating around, and I’d like to ...
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Building a Сustom MCP Chatbot | Towards Data Science
[ad_1] a method to standardise communication between AI applications and external tools or data sources. This standardisation helps to reduce ...
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The Crucial Role of NUMA Awareness in High-Performance Deep Learning
[ad_1] world of deep learning training, the role of the ML developer can be likened to that of the conductor ...
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Work Data Is the Next Frontier for GenAI
[ad_1] , the work output of knowledge workers, is the single most valuable data source for LLM training, uniquely capable ...
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How to Fine-Tune Small Language Models to Think with Reinforcement Learning
[ad_1] 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 ...
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