In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API. We work through a complete workflow where we tune a RandomForest model on a synthetic…
Developers and customers building production AI agents need higher token efficiency, lower latency, and more reliable performance. Our Flash series of models is built to meet the sweet spot of…
The idea that AI agents need ‘eyes’ – real visual information from the real world, and not just paperwork and dashboards, have become a marker of advancement in construction technology.…
# Introducing GitHub's Agentic Workflows
It's 9 AM on a Monday, and forty-three new issues are sitting in the backlog. Some are real bugs. Some are duplicate feature…
Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM…
Our newest music generation model, Lyria 3.5, delivers significant advancements across musicality, lyrics, and vocal quality, empowering you to craft richer tracks. We’re rolling it out today in Google Flow…
# Introduction
Most people picture building a voice agent as stitching three things together: speech-to-text (STT), a large language model (LLM), and text-to-speech (TTS). Wire them up, and…
print("\n[10] Plots")
k = min(4, S)
idxs = np.linspace(0, S - 1, k).astype(int)
fig, axes = plt.subplots(3, k, figsize=(3.1 * k, 7.2))
axes = np.atleast_2d(axes)
for c, i in enumerate(idxs):
axes[0, c].imshow(rgb[i].transpose(1, 2,…
For robots to assist humans in everyday environments, accurate spatial reasoning is not enough. Robots must also think fast, timing their decisions and reasoning with the real-time speed of the…
Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of robots. The release moves the stack past table-top manipulation into whole body control, five finger…