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Large Language Model News

Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.

19056 articles page 486 of 953 0 sources 30 min sync cycle updated 2026-06-25

// latest articles 19056 indexed

14:59
2026-06-25
dev.to
artificial-intelligence · 7m read · neu

I stopped treating AI memory as summaries. I now think in handoffs.

A developer argues that AI memory should be structured as handoffs rather than summaries, identifying four key classes of information to carry between sessions: framing shifts, boundaries, unresolved states, and correcti…

14:52
2026-06-25
dev.to
artificial-intelligence · 3m read · neu

LOOP ENGINEERING: TECHNICAL BLUEPRINT

Loop engineering is a new paradigm for building self-prompting autonomous AI systems that iterate through cycles of task generation, execution, observation, and refinement until goals are achieved. The approach replaces …

14:34
2026-06-25
github.com
artificial-intelligence · 10m read ↑ pos

Personal internet radio: Agentic AI DJ

Subwave launches a personal internet radio station powered by an agentic AI DJ that selects tracks, writes and speaks intros, station idents, time checks, and weather updates. The service streams a single shared broadcas…

14:31
2026-06-25
read.technically.dev
artificial-intelligence · 6m read · neu

Everything is a Pipeline

A technical writer argues that diverse technical systems—from data engineering pipelines to RAG-based AI products—share a common underlying structure, using stages of refinement to transform raw inputs into usable output…

14:30
2026-06-25
vickiboykis.com
machine-learning · 37m read · neu

Build Yourself Flowers

Vicki Boykis, a machine learning engineer who has worked at Tumblr, Automattic, Duo, and Mozilla.ai, delivered a talk at the Applied Machine Learning Conference in Charlottesville, VA in April 2026, reflecting on the sta…

14:01
2026-06-25
pub.towardsai.net
ai-agents · 1m read · neu

Multi-Agent Memory Is Harder Than You Think

Multi-agent systems that perform well in demonstrations often fail in production due to memory inconsistencies, according to a new analysis. The article highlights the challenges of maintaining coherent memory across mul…

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