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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.

20701 articles page 728 of 1036 0 sources 30 min sync cycle updated 2026-06-16

// latest articles 20701 indexed

04:00
2026-06-16
arxiv.org
machine-learning · 1m read ↑ pos

FastMix: Fast Data Mixture Optimization via Gradient Descent

Researchers introduced FASTMIX, a framework that automates data mixture optimization for training large models by reformulating mixture selection as a bilevel optimization problem and using gradient descent to jointly op…

04:00
2026-06-16
arxiv.org
machine-learning · 1m read ↑ pos

Transformers Learn the Mestre-Nagao Heuristic

Researchers trained a two-layer transformer encoder to classify rational elliptic curves by rank, achieving over 99% accuracy. The model learned the Mestre-Nagao heuristic from data alone, with input weights matching the…

04:00
2026-06-16
arxiv.org
machine-learning · 1m read ↑ pos

Temporal Difference Learning for Diffusion Models

Researchers introduced a temporal difference (TD) objective for diffusion models that enforces cross-time consistency along the denoising trajectory, improving sample quality especially with few sampling steps. The metho…

03:36
2026-06-16
twitter.com
large-language-models · 2m read · neu

Note on Rio 3.5 Open

Brazilian public sector AI project Rio 3.5 Open accidentally released an incomplete checkpoint, which was later removed. The model, built on Alibaba's Qwen 3.5 and Nex-AGI's Nex-N2 Pro, was not a foundational model but a…

03:17
2026-06-16
dev.to
developer-tools · 4m read ↑ pos

The Agent Skills I Use for Development

A developer shared a set of agent skills used for development, including skills for interviewing users about plans, creating PRDs, breaking down plans into GitHub issues, implementing tasks with TDD, and analyzing codeba…

02:38
2026-06-16
dev.to
artificial-intelligence · 1m read · neu

Loop Engineering

Engineers at Anthropic and OpenAI have articulated the concept of 'loop engineering,' a practice of designing automated systems that prompt AI coding agents on behalf of developers. The approach relies on five building b…

02:22
2026-06-16
dev.to
artificial-intelligence · 1m read · neu

The Custom Instructions I Use to Get Better AI Responses

A developer shared custom instructions for improving AI responses, emphasizing truth over confidence, correctness over clarity, and precision over verbosity. The instructions include setting an expert domain and tone, pr…

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