{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"JAX — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">JAX</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">An open-source numerical computing library developed by Google that combines automatic differentiation with hardware acceleration, designed for high-performance machine learning research. JAX is particularly popular for large-scale model training and research into novel architectures, offering fine-grained control over computation that makes it well suited for pushing the boundaries of what is possible.  See also: pyTorch, tensorFlow, GPU.</p><a href=\"https://gaks.ai/glossary/jax\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/jax →</a></div>"}