artificial intelligence

Meta’s AI chief scientist leaves with parting shots

Good morning, AI enthusiasts. Acclaimed AI chief scientist Yann LeCun just departed Meta after over a decade, and the outspoken researcher definitely didn’t leave quietly. From calling his boss Alexandr Wang "inexperienced" to admitting...

Optimizing Data Transfer in AI/ML Workloads

a , a deep learning model is executed on a dedicated GPU accelerator using input data batches it receives from a CPU host. Ideally, the GPU — the dearer resource — needs to...

Keep MCPs Useful in Agentic Pipelines

Intro applications powered by Large Language Models (LLMs) require integration with external services, for instance integration with Google Calendar to establish meetings or integration with PostgreSQL to get access to some data.  Function calling Initially these...

Instagram’s AI-driven identity crisis

Good morning, AI enthusiasts. The app that pioneered filter culture is now declaring the curated aesthetic dead.Instagram head Adam Mosseri says AI content has made polished posts worthless as proof of authenticity — and...

Deep Reinforcement Learning: The Actor-Critic Method

that frustrating hovering drone from ? The one which learned to descend toward the platform, go through it, after which just… hang around below it eternally? Yeah, me too. I spent a whole afternoon...

The Rundown’s 2025 12 months in review

Completely satisfied Latest Yr, AI enthusiasts! 2025 is within the books, and it was one other wild 12 months of technological advances, scientific breakthroughs, worldwide adoption, eye-popping investments, and reality-TV-level drama across the AI...

The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel

use gradient descent to seek out the optimal values of their weights. Linear regression, logistic regression, neural networks, and enormous language models all depend on this principle. Within the previous articles, we used...

Chunk Size as an Experimental Variable in RAG Systems

the sorts of answers we expect today from Retrieval-Augmented Generation (RAG) systems. Over the past few years, RAG has develop into one in all the central architectural constructing blocks for knowledge-based language models: As...

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