Advanced Topic Modeling with LLMs
This article is a continuation of topic modeling open-source intelligence (OSINT) from the OpenAlex API. In a previous article, I ...
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Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described in the article. Disclaimer ⚠️ First of all, note that this project ...
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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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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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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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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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