With Chain of Thought prompting, language models of sufficient scale can solve complex reasoning problems that are not solvable with standard prompting methods. It is a huge step forward in AI, making LLMs more interpretable and better equipped to tackle complex problems.
RESEARCH
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Multi-step reasoning without model weight modification
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It mimics an intuitive thought process like humans when working through multi-step reasoning problems, and can be achieved without modifying the language model's weights or using a large training dataset.
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Chain of Thought Prompting Improves Language Model Problem Solving
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Chain of Thought prompting helps language models break down complex problems and generate more structured, organized responses. It makes problem-solving more interpretable and increases the chances of finding the correct answer.
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Diffusion Models: The New AI Image Generation Buzz
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🚀BLOG-TASTIC TUESDAYS🚀
— Satya Mallick (@LearnOpenCV) 24 janvier 2023
Diffusion models are the new buzz in the world of AI-based image generation. Learn how they work and the different types of diffusion models for image generation in our latest article.
➡️ https://t.co/wcPfq7tgwQ #stablediffusion #computervision #ai pic.twitter.com/pnRpAQHHm6BLOG-TASTIC TUESDAYS
Diffusion models are the new buzz in the world of AI-based image generation. Learn how they work and the different types of diffusion models for image generation in our latest article. https://
learnopencv.com/image-generati
on-using-diffusion-models/
… #stablediffusion #computervision #ai -
XAI Explainability Trumps Predictions in ML Models
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In part I of the ML explainability series, our Co-founder and CEO,
@SVinayKumar12 discusses why XAI trumps predictions, relevance of XAI for different stakeholders & re-evaluating currently deployed models. https://
analyticsindiamag.com/the-fault-in-a
i-predictions-why-explainability-trumps-predictions/
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Technology Scales Mental Health Support Through Personalized Care
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1 in 4 people will be impacted by #mentalhealth disorders in their life @WHO #research From #Diagnosis to personalized #care how #technology can scale support https://
msft.it/6014eSak0 #HealthyLiving @MSFTEnable #innovation #data @Shi4Tech @ITEmpathy @ahier @DJ_EddieL -
Kurzweil predicts AI human level by 2029, billion-fold intelligence by 2045
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“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.” —Ray Kurzweil, Singularity Hypebeast
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GANs, Diffusion, and Transformers: Three Competitive AI Approaches
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accurate to say that all 3 approaches (GANs, diffusion, transformers) are all somehow competitive with each other now? what a strange timeline!
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AI Breakfast write-up on Tim’s pix2pix project
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I actually did a write-up on Tim's pix2pix project in the newsletter today:
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Tracr: DeepMind’s Interpretability Tool Compiling Code to Transformers
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Meet Tracr: DeepMind & ETH Zurich’s Novel Interpretability Tool Compiles Human-Readable Code to Transformers’ Weights