🔬 The Coolest Diffusion Research Isn't in LLMs - Evan Feinberg & Sergey Edunov, Genesis Molecular AI
Why the Llama lead left Meta for drug discovery, PEARL's zero-shot OpenBind win, and what becomes possible when co-folding finally crosses the accuracy threshold.
Referenced Coverage & Sources
2 Sources CombinedGoogle Will Now Allow Users to Remove Visible Watermark From Its AI Generations
Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.
Z.ai Debuts GLM-5.3 with Long-horizon Coding, Cybersecurity Upgrades
Chinese artificial intelligence developer Z.ai Co. today debuted GLM-5.3, an open-source large language model that set records across several popular benchmarks. The LLM is based on an algorithm called GLM-5.2 that the company released in mid-July.
Celebrating the One Billion Runs Milestone on Weights & Biases
From 1 billion runs to autonomous AI research, explore the latest Weights & Biases innovations for AI model and agent development.
Microsoft Kills Off Unsuccessful AI Features While Merging Its Separate Copilot Apps
Microsoft is simplifying Copilot by combining its consumer and business apps, and dropping AI-generated podcasts, Group Chats, Deep Research, and its Mico.
LLaMA
LLaMA (Large Language Model Meta AI) is a family of state-of-the-art open-weights foundation models released by Meta. LLaMA catalyzed the open-source AI developer ecosystem by offering models that could run locally with high efficiency.
LLM
A Large Language Model (LLM) is a type of artificial intelligence model trained on vast amounts of text data to understand, generate, and manipulate natural language. Built on the Transformer architecture, LLMs use billions of parameters to recognize semantic patterns and reasoning relationships.
Accuracy
Accuracy is a classification metric measuring the fraction of total predictions that the model got correct, calculated as the sum of correct predictions divided by all predictions.
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