here are two awesome researchers you should follow: @WeijiaShi2 at UW and @wzhao_nlp at Cornell!! some of their recent work: weijia shi (
@WeijiaShi2
): – built INSTRUCTOR, the embedding model that lots of startups / companies use (
http://
arxiv.org/abs/2212.09741)
– proposed a more
RESEARCH
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Follow Top NLP Researchers: INSTRUCTOR Embedding Model Creators
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SSM Papers on Image Generation Research
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this is cool, I think @NathanYan2012 has written some papers on generating images using SSMs
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ChatGPT Google Meta Competition in Generative AI Race
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You have to read the full article. I'm just scratching the surface with the above excerpts. https://
nytimes.com/2023/12/05/tec
hnology/ai-chatgpt-google-meta.html
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Researchers Show Neural Networks Easily Manipulated Into Malicious Behavior
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Generative AI can easily be made malicious despite guardrails, say scholars Researchers found an easy way to retrain publicly available neural nets so they would answer in-depth questions, such as how to cheat on an exam, find pornography, or even kill their neighbor.
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Cross-Attention and Magnific Upscaling for Portrait Generation
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An experiment with cross-attention and Magnific upscaling. – profile picture for style
– a portrait for structure
– magnific for putting back subtle detail Using: https://
replicate.com/lucataco/cross
-image-attention
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101 Guide to Fine-tuning Open-source LLMs
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Here's your 101 Guide to #Fine-tuning Open-source #LLMs thanks to @AnalyticsVidhya and @predibase ML Engineer, @grg_arnav https://
pbase.ai/417L9rA -
AI Transforms Scientific Discovery: Climate Modeling and Protein Structures
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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 -
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://
scale.com/blog/afm1