high-performance CPU programming IMO is harder than GPU programming.
GPU performance model is a lot more uniform and easy to understand than CPU performance which has so many edges and discontinuities and so many layers of caches and a much more complex instruction pipeline.
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CPU Programming Complexity Versus GPU Performance Models
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CoTracker: Advanced Pixel Tracking for Video Analysis
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CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy.
— AI at Meta (@AIatMeta) 29 août 2023
Code ➡️ https://t.co/d0igWWYFOu pic.twitter.com/hSO0wbqNu9CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy. Code https://
bit.ly/3KZoLcQ -
Google Nvidia Launch PaxML Language Model Framework
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Second, and much more subtly, came in the form of the announcement of a language model development framework co-built with Nvidia called PaxML. More importantly, PaxML is built on top of Google's cutting-edge AI framework, JAX, and XLA.
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LangSmith Platform Visual Overview Guide
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This is an amazing visual overview of the langsmith platform!
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Question about Stanford evaluations and HELM HumanEval
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Thanks for sharing! What are the Stanford evals? You mean the HumanEval version in HELM?
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MongoDB Schema Design Achieves 60x Performance Improvement
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-> "
@MongoDB is sometimes incorrectly referred to as “schemaless,” but the reality is schema design is just as important in MongoDB as in [a relational database], and data modeling choices will make or break the performance of your app" https://
dev.to/mongodb/mongod
b-design-reviews-how-applying-schema-design-best-practices-resulted-in-a-60x-performance-improvement-56m5
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TrOCR: Transformer-Based Optical Character Recognition Getting Started
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🚀Blog-tastic Tuesdays🚀https://t.co/MGpHndnezj
— Satya Mallick (@LearnOpenCV) 29 août 2023
TrOCR is a transformer-based Optical Character Recognition model that combines a Vision Transformer and a Language Transformer model. In our latest blog post, we go through different TrOCR models, their training strategies, run… pic.twitter.com/1Ite4g8rrPBlog-tastic Tuesdays https://
learnopencv.com/trocr-getting-
started-with-transformer-based-ocr/
… TrOCR is a transformer-based Optical Character Recognition model that combines a Vision Transformer and a Language Transformer model. In our latest blog post, we go through different TrOCR models, their training strategies, run -
SAS Communities Highlights Developer Sessions for ExploreSAS Vegas
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Hot off the presses : as you are building your agenda for #ExploreSAS, stop by the SAS Communities page to see which developer sessions we hand-picked for you http://
2.sas.com/6010PSfbs. Registration is open. Las Vegas, let's go! #Analytics #SASUsers -
Lemur: New Code LLM Based on Llama 2
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Oh, and there was also Lemur last week. A code LLM not based on Code Llama but based on LLama 2 directly! https://
xlang.ai/blog/openlemur