TECHNICAL BLOG: Learn how one can use the SambaNova platform to develop a GPT 13B parameter model that can outperform a GPT 175B parameter model. https://
sambanova.ai/blog/https-ach
ieving-gpt-175b-level-accuracy-with-a-10x-more-efficient-model/
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RESEARCH
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SambaNova achieves GPT-175B performance with 10x efficient model
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Overblown Concerns About AI Model Training Data
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I think this is overblown. so if all the data in the world that are produced by human beings is what this model is inspired from (since it’s Stable diffusion based) this makes sense that using pictures and words you can describe what someone else sees/thinks.
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Flan and UL2 Missing from Citations List
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Hmm. Where is Flan and UL2 on the list? They have more than 40 citations for sure. And probably more. IIRC flan2 has much more than that.
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Child learns repeatedly with batch learning approach
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My kid wanted to read that one over and over. #batchlearning
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Stanford CS Machine Learning Cheatsheets for Quick Revision
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7. Stanford CS Machine Learning Having cheatsheets for quick revision is always handy. This Repository Consists of Machine Learning Cheatsheets from Stanford University Check this out:
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Andrew NG Machine Learning Course Resources and Notes on GitHub
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4. Home Made Machine Learning Andrew NG Machine Learning Course on Coursera is one of the best beginner friendly course to start in Machine Learning You can find all the notes related to that entire course here: https://
github.com/trekhleb/homem
ade-machine-learning
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Deep Learning Drizzle: Free Courses from Top Universities
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1. Deep Learning Drizzle This is an organized website where you can find all the FREE and best courses in: → Machine Learning
→ NLP
→ Computer Vision
→ Reinforcement Learning from Top Universities (all in one place) -
CottonAce: AI-Powered Pest Management in Agriculture
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Titled CottonAce: Weaving AI into Agriculture, our AI-powered pest management solution has been featured as one of the 8 case studies in #MicroMatters: Using Data for Development in the Era of the Fourth Industrial Revolution, jointly published by @orfonline and @ril_foundation
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Crowdsourcing Framework Revolutionizes Lexically Constrained Text Generation
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Revolutionize natural language generation with a crowdsourcing framework for lexically constrained decoding! Find out how this AI approach harnesses the power of the crowd to generate text that meets specific criteria. Read more: https://
bit.ly/3KN1c82 @jeevprabnivash