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ML Mastery
Oct 28, 2026
Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head
In this article, you will learn how to compare two strategies for adapting a large language model to a specific domain: …
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Towards Data Science
Nov 9, 2026
Continuous Batching Beats Static and Dynamic by Up to 2.91× in vLLM
For anyone running an inference server: a zero-variance control, five traffic traces, and an engine-vs-scheduler split s…
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Towards Data Science
Nov 8, 2026
How to Build Multi-Agent Systems with the OpenAI Agents SDK
Build an EV purchase adviser and a support agent in Python, then see how fan-out, pipelines, hierarchies, and swarms reu…
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Towards Data Science
Nov 7, 2026
Timestral, t0, Tabby, and Morpheus-2.0 Compared on GIFT-Eval
All four time-series foundation models scale, patch, and predict quantiles; the real split is how series share informati…
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Towards Data Science
Nov 6, 2026
Build Your First Multi-Tool AI Agent with Ollama and Python
AI Agents for Beginners, Part 2: The agent picks between three database tools, uses each result to choose its next call,…
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Towards Data Science
Nov 6, 2026
How to Manage Python Environments with uv Instead of venv and pip
A side-by-side walkthrough of venv plus pip and uv init, uv add, uv run, and uv sync, with a lockfile that recreates the…
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KDnuggets
Nov 4, 2026
The Data Science Interview in 2026: What’s Changed and How to Prepare
A round-by-round breakdown of how the hiring process has shifted, from AI-assisted coding rounds to GenAI evaluation que…
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Towards Data Science
Nov 8, 2026
Change One Monty Hall Rule and Five LLMs Still Say Switch
Even with step-by-step reasoning, the models landed near 33% accuracy, and one quoted the host's rule correctly before i…
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