Colossal-AI Accelerates AIGC, Snowpark for Python Is GA and the New Beta Release of NVIDIA Omniverse
Blog post from Lightning AI
Recent machine learning developments include AlphaPose for real-time whole-body pose estimation and tracking, Microsoft’s Waveformer for streaming target sound extraction, and Sony’s self-supervised system for transferring mixing styles between music tracks. Engineering announcements feature a GPT-3 and DALL-E-powered text-to-Figma generator, NVIDIA Omniverse’s beta release for creating metaverse applications and synthetic data, and Colossal-AI’s open-source Stable Diffusion tooling, which claims substantial reductions in pretraining and fine-tuning costs. Snowflake and Anaconda also released Snowpark for Python to enable data science and machine learning workflows within Snowflake. Community projects highlighted include tutorials for predicting football expected goals, self-supervised monocular depth estimation, and reducing Transformer model size or inference latency, while Lightning AI announced a redesigned website, NeurIPS career-transition event, and an introductory neural-network notebook. The update also notes upcoming IROS, NeurIPS, PyTorch, and CVPR events, including the November 11, 2022 CVPR paper submission deadline.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 5 | 1,396 | 431 | 146 | -4% |
| AI Model Fine-tuning | 3 | 44 | 26 | 23 | +120% |
| AI Guardrails | 1 | 57 | 39 | 12 | +16% |
| Observability | 1 | 1,305 | 230 | 72 | +16% |
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