11 results for: llm

NVIDIA introduces new higher-order optimizers to enhance training efficiency for large language models.

The new Qwen 3.6-27B model delivers superior coding performance with a significantly reduced size.

ml-intern is an open-source agent that automates literature review, dataset discovery, training script runs, and iterative evaluation for LLM post-training work.

Mozilla patched 271 vulnerabilities after an initial security evaluation that used an early Claude Mythos Preview in collaboration with Anthropic.

An arXiv paper introduces a quantitative-plus-error-analysis benchmark for Vietnamese legal text, comparing GPT-4o, Claude 3 Opus, Gemini 1.5 Pro and Grok-1.

An arXiv study uses perturbation-based attribution to compare FFT, LoRA, and quantized LoRA across model sizes and finds FFT yields more focused interpretive patterns.

Simon Willison reports that a local, quantized Qwen3.6-35B-A3B run produced better pelican and flamingo illustrations than Anthropic's Claude Opus 4.

EVE publishes EVE-Instruct, a 24B Mistral-based model and a suite of Earth-science datasets, benchmarks, and tooling for domain-specific LLM deployment.

Simon Willison released llm-anthropic 0.25, which ships claude-opus-4.7 supporting thinking_effort: xhigh and new thinking flags.