Here are over 25 projects for AI and data science that will help you gain a practical, hands-on experience of working in the growing fields
Move beyond 'hello world' agents. This deep dive, inspired by Kaggle's AI Agents Intensive, helps build reliable production AI agents.
Learn what’s new in Mistral 3 Large, explore benchmarks, and see how to access Mistral 3 locally with Ollama for coding and reasoning tasks.
This guide breaks down the differences between Agent Frameworks vs Runtimes vs Harnesses explaining what they are and when to use them.
Explore Mistral's new open-source AI tools: DevStral 2, DevStral Small 2, and the Vibe CLI. Learn how they speed up developer workflows.
Your step-by-step guide to becoming a Data Scientist in 2026. This roadmap covers the subjects & the milestone projects you need to get hired.
A guide to building a production-ready AutoRAG pipeline. Learn how to automate RAG evaluation and optimize your workflow with minimal code.
Learn about the Softplus activation function. This guide covers its formula, benefits, trade-offs, and how to implement it in PyTorch.
DeepSeek V3.2 brings smarter sparse attention, strong reasoning, and lower costs. Explore its benchmarks, architecture improvements, and real-world performance.
Learn about the OpenAI's ecosystem with our developer's guide. From GPT-3.5 to GPT-5.1, with hands-on examples for DALL-E 3 and more.
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