From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...
AI Dev, DeepLearning.ai's AI conference, made its NYC debut. We sat down with Andrew Ng at the event to talk AI and developers. Ng recommends that everyone learn to code. The second annual AI Dev, a ...
Andrew Ng is the founder of Google Brain, an AI research team incorporated into Google. In a new talk, Ng recommended using AI-assisted tools to generate code, or “vibe coding.” According to Ng, those ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
In the era of vibe coding, when even professionals are pawning off their programming work on AI tools, Microsoft is throwing it all the way back to the language that launched a billion devices. On ...
Microsoft has released the source code for the BASIC version it developed in 1976 for the MOS 6502 processor, a central component of many early home computers, The Register reports. As far back as ...
OpenAI researcher Szymon Sidor said that even though AI coding tools exist, high school students should still learn to code. That way, they can build a “really structured intellect” to “break down ...
Anthropic launched learning modes in Claude chatbot and Claude Code. Instead of creating answers, they use the Socratic approach to guide you. You can select 'Learning' from the style dropdown to ...
In a giant feat of genetic engineering, scientists have created bacteria that make proteins in a radically different way than all natural species do. By Carl Zimmer At the heart of all life is a code.
MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.
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