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Machine Learning
The Infrastructure Behind Making Local LLM Agents Actually Useful
locally sounds straightforward. Download the weights, start the server, and send requests. That works for a chatbot, but it doesn’t…
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Machine Learning
Watch 12 Google I/O 2026 videos for top announcements and updates
Knowledge agents are rolling out this summer, starting with Google AI Pro and Ultra subscribers. Just add “keep me informed”…
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AGI
How Hospitals Use Algorithms to Prioritize Vaccine Distribution
Introduction How hospitals use algorithms to prioritize vaccine distribution became one of the most critical questions in public health when…
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ANI
Tweaking Local Language Model Settings with Ollama
# Introduction Language models continue to shape how machine learning practitioners and developers build applications. The advent of capable, compact…
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Machine Learning
Kungani i-AI Namanje Ingakwazi Ukuxazulula Inkinga Yakho Yangempela Yokuthuthukisa Izibalo
ukusebenzisa i-AI ukuze wakhe imodeli yokwenza kahle yezibalo yenkinga yebhizinisi langempela, kungenzeka ukuthi uke wangena odongeni olufanayo: i-AI isebenza kahle…
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ANI
7 Real World AI Projects to be Built by 2026 (with Guidelines)
# Introduction AI projects are most useful when they solve real workflow problems, not just when they demonstrate a new…
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Machine Learning
DiffuJudge-AV: A Diffusion-Inspired Framework for Calibrated AV Video Evaluation
Like a Noisy Sensor. It Changed Which Autonomous-Driving Evaluator I Would Ship. There is a particular kind of result that…
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Generative AI
Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code in pplx-garden, their inference…
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Generative AI
A Coding Guide for Using a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
In this lesson, we create a complete pgvector playground inside Google Colab and explore how PostgreSQL can serve as a…
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Generative AI
Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one block at a time.…
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