Do You Really Need a Foundation Model?
are everywhere — but are they always the right choice? In today’s AI world, it seems like everyone wants to use foundation ...
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What Can the History of Data Tell Us About the Future of AI?
“Data is the fossil fuel of AI.” – Ilya Sutskever, co-founder and former chief scientist at OpenAI “The best prophet ...
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There and Back Again: An AI Career Journey
I had wide-eyed ambitions to be an Artificial Intelligence developer. I studied all the latest material. By that I mean ...
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Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare
in the field of large language models (LLM) and their applications is extraordinarily rapid. Costs are coming down and foundation ...
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Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the ...
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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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