heu gpt4all c'est llama en local en fait
AI
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Data AI Summit: Learn LLM Business Applications and Skills
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Why attend #DataAISummit? Learn how to build & apply LLM to your business. Uplevel your skills with hands-on training & role-based certifications. Connect with data professionals from around the world
…& much more. Register now! https://
bit.ly/40bHaZr -
100+ Free Data Science Books for Learning
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100+ free data science books: https://
bit.ly/3ApVZdJ credit: @marcusborba -
Untether AI Uses Technology for Environmental Sustainability
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Happy #EarthDay! Listen to our CEO, Arun Iyengar, speak with @CityNewsTO on how @UntetherAI uses our #AI #technology to increase environmental sustainability and better care for our planet. https://
bit.ly/3otOZfj #ecoconscious #power #energyefficiency #autonomousvehicles -
Build Deep Learning Models in 10 Lines of YAML at PyCon
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Good morning #PyCon ☀️
— Predibase by Rubrik (@predibase) 22 avril 2023
Want to learn how you can build a #deeplearning model in less than 10 lines of #YAML?
Stop by booth 261 to learn more! #PyCon2023 #PyConUS2023 pic.twitter.com/T5XZCVuPdKGood morning #PyCon Want to learn how you can build a #deeplearning model in less than 10 lines of #YAML? Stop by booth 261 to learn more! #PyCon2023 #PyConUS2023
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Rejecting Elite Control: Quality Content Over Anointed Nobility
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Anointed nobility is anathema Quality of content counts
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Guide to Training Your Own Large Language Models
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How to train your own Large Language Models This is a great article on the mechanics of training (your own) large language models. Discusses the importance of training your own LLM, data pipelines, model training, evaluation, and deployment. https://
blog.replit.com/llm-training -
EU Regulation Impact on Innovation: Champagne Label Case Study
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Obsessing over Champagne labels in the era of generative AI #EU #regulation #innovation #economy https://
wsj.com/articles/mille
r-high-life-cans-destroyed-in-europe-over-champagne-of-beers-logo-25e2c05c
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AI democratization: From Google-scale resources to internet access
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“In the past you had to have the resources of Google to create something useful with AI. Now anyone with an internet connection can. And this is just the beginning of the potential utility of these systems” #AI #CIO
@mims
#GPT https://
wsj.com/articles/the-s
ecret-history-of-ai-and-a-hint-at-whats-next-428905de
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Efficient GPU Usage in AI Research Experiments
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I'm actually impressed they didn't spend more GPU hours in experiments. That's really efficient of them, especially considering the result.