From modeling the Earth’s climates to unraveling protein structures, scholars demonstrated the transformative power of AI in aiding scientific discovery in a recent @stanfordhai conference. https://
stanford.io/485xAeC
RESEARCH
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AI Transforms Scientific Discovery: Climate Modeling and Protein Structures
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State-of-the-Art Results Achieved on CityScapes and BDD
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And it is SOTA. Produces state-of-the-art results on CityScapes and BDD across all tasks.
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Foundation Model for Autonomous Perception Tasks
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It is a foundation model that can solve many relevant perception tasks for autonomy.
— Alexandr Wang (@alexandr_wang) 5 décembre 2023
It is not task specific nor class specific, so you can use it to recognize an arbitrary taxonomy. pic.twitter.com/0gED7sgLtWIt is a foundation model that can solve many relevant perception tasks for autonomy. It is not task specific nor class specific, so you can use it to recognize an arbitrary taxonomy.
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Scale Launches AFM-1 Automotive Foundation Model for Autonomous Vehicles
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Scale is launching our Automotive Foundation Model, AFM-1.
— Alexandr Wang (@alexandr_wang) 5 décembre 2023
It is a SOTA language-grounded perception model for autonomous vehicles.
This builds on nearly a decade of @scale_AI technical expertise working at the forefront of autonomy.https://t.co/8zAv2Qywus https://t.co/0jazVqrJ4p pic.twitter.com/XrVcKOjex7Scale is launching our Automotive Foundation Model, AFM-1. It is a SOTA language-grounded perception model for autonomous vehicles. This builds on nearly a decade of @scale_AI technical expertise working at the forefront of autonomy. https://
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Introduction to Large Language Models: Comprehensive One Hour Talk
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[1hr Talk] Intro to Large Language Models https://
bit.ly/3QXRVLL
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Model Cards for LLMs: Environmental and Human Rights Impact
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LOVE this. Have you considered model cards for environmental ad well as human rights eg, water usage for LLMs? Would love to follow up on this for IEEE work re privacy / data if interested. Thanks!
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Playground v2 User Preferences and Aesthetic Benchmarks
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You can learn more about Playground v2 and their findings on user preference and aesthetic benchmarks here:
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LangChain Extraction Benchmarking Results and Feedback
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For all these results and more, check out the post and let us know your feedback! https://
blog.langchain.dev/extraction-ben
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Testing Combined Open Source Strategies for Performance
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Or pick up where we left off testing the open source strategies at this repo. How would it perform if you combine strategies?