…ntextual text, usually 50-100 tokens, is prepended to the chunk before embedding it and before creating the BM25 index. Here’s what the preprocessing flow looks like in practice: If you’re i
…e device. The MHS driver uses a simple set of primitives—commands like “read” (for example, “get temperature”) or “write” (for example, “set temperature”)—that any hardware device can unders…
…cyber activities. Models built through illicit distillation are unlikely to retain those safeguards, meaning that dangerous capabilities can proliferate with many protections stripped out en…
… capabilities. Although this policy focuses on catastrophic risks like the categories listed below, they are not the only risks that we monitor and prepare for. Our Usage Policy sets forth o…
… capabilities, and how we expect that this model, and future ones like it, will affect the security industry. Then, we discuss how we evaluated this model in more detail, and what it achieve…
…omains where progress can be clearly and systematically measured, like in math and computer science. Over the past year, we’ve deployed algorithms discovered by AlphaEvolve across Google’s c…
…s is especially valuable in data analysis and in technical fields like healthcare and life sciences, where teams need to find and interpret information across many kinds of source material.”…
…omain where it’s not possible to solve problems through shortcuts like duplicating solutions seen before or trying out every potentially related algorithm. Instead, our model must create nov…
…orised 89% of all 71 million possible missense variants as either likely pathogenic or likely benign. By contrast, only 0.1% have been confirmed by human experts. AI tools that can accuratel…
…ructure prediction problems that are relevant for drug discovery, like antibody binding. Additionally, accurately predicting protein-ligand structures is an incredibly valuable tool for drug…