Good morning. It’s Monday, August twenty sixth.
Did you recognize: On today in 2011, Steve Jobs stepped down as Apple CEO because of health problems.
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Meta’s Foundation for Human Models
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Google’s Prompt Gallery
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Grok-2 Rewrite
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5 Recent AI Tools
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Latest AI Research Papers
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Today’s trending AI news stories
Meta Presents Sapiens: Foundation for Human Vision Models
Meta’s “Sapiens” introduces a brand new approach to human-centric computer vision through vision transformer models pretrained on an unlimited dataset of human images. Addressing a limitation in current models that mainly concentrate on general image pretraining, Sapiens utilizes the Humans-300M dataset—comprising 300 million human images—to enhance performance in specific tasks like 3D digitization, keypoint estimation, and body-part segmentation.
The models feature large-scale pretraining and high-resolution vision transformers, resulting in evident performance gains. Evaluations show enhanced ends in pose estimation, part segmentation, depth estimation, and normal estimation. Sapiens’ models are effective in generalizing across various scenarios and offer a solid foundation for future research and practical applications in human-centric vision. Read more.
Google debuts free ‘Prompt Gallery’ in AI Studio, supercharging developer tools
Google has introduced a brand new feature called Prompt Gallery in its AI Studio platform, significantly expanding the tools available for developers using the Gemini API. Announced by Logan Kilpatrick, the Prompt Gallery provides a spread of pre-built prompts that highlight the flexibility of Google’s Gemini models.
These include practical tools equivalent to a JSON schema-based recipe generator, a math tutor for quadratic equations, and a time complexity analyzer, in addition to creative applications like a scavenger hunt creator and a visit advice system. This update enhances AI Studio by supporting long context, multi-modal inputs, and structured outputs. Read more.
Grok-2 gets a speed bump after developers rewrite code in three days
Developers Lianmin Zheng and Saeed Maleki have dramatically improved the performance of Elon Musk’s xAI Grok-2 large language model (LLM) and its smaller counterpart, Grok-2 mini, through a whole rewrite of the inference code. Over the past three days, they utilized SGLang, an efficient open-source system, which boosted throughput by as much as 6.4 times in comparison with previous methods.
In consequence, each models now deliver faster evaluation and response times, with Grok-2 mini’s speed doubling and the essential Grok-2 model also benefiting from enhanced performance and barely improved accuracy. The Grok-2 model now holds the #2 position on the LMSYS Chatbot Arena leaderboard, while Grok-2 mini ranks #5. Read more.
Grok 2 mini is now 2x faster than it was yesterday. Within the last three days @lm_zheng and @MalekiSaeed rewrote our inference stack from scratch using SGLang (github.com/sgl-project/sg…). This has also allowed us to serve the large Grok 2 model, which requires multi-host inference, at a… x.com/i/web/status/1…
— ibab (@ibab)
6:18 PM • Aug 23, 2024
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