LLMs Demystified: The Simple Idea Behind the Most Powerful AI Model
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AI models fail at robot control without human-designed building blocks but agentic scaffolding closes the gap
A new framework from Nvidia, UC Berkeley, and Stanford systematically tests how well AI models can control robots through code. The findings: without human-designed abstractions, even top models fail, but methods like targeted test-time compute scaling closes the gap. The article AI models fail at robot control without human-designed building blocks but agentic scaffolding closes the gap appeared first on The Decoder .
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tests : add unit test coverage for llama_tensor_get_type ( #20112 ) Add unit test coverage for llama_tensor_get_type Fix merge conflicts, add more schemas clang formatter changes Trailing whitespace Update name Start rebase Updating files with upstream changes prior to rebase Changes needed from rebase Update attn_qkv schema, change throw behaviour Fix merge conflicts White space Update with latest changes to state counters Revert accidental personal CLAUDE.md changes Change quotation mark Reuse metadata.name since we have it Move test-only stuff out of llama-quant.cpp Hide the regex functionality back in llama-quant.cpp, use a unique pointer to a new struct 'compiled_tensor_type_patterns' which contains the patterns cont : inital deslop guidelines Cleanup based on review comments Continue
Nvidia sets new MLPerf records with 288 GPUs while AMD and Intel focus on different battles
The latest round of the industry's top inference benchmark introduces multimodal and video models for the first time. Nvidia, AMD, and Intel each highlight different metrics, making direct comparisons difficult. The article Nvidia sets new MLPerf records with 288 GPUs while AMD and Intel focus on different battles appeared first on The Decoder .
Microsoft shivs OpenAI with three new AI models for speech and images
About that partnership... Microsoft on Thursday unveiled public preview versions of three home-baked machine learning models focused on speech recognition, speech synthesis, and image generation.…
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