XAI open open sourced Grok 300 gb to download But for those in Germany, this doesn’t count as open source as you cannot use torrents w/o extra magic
OPEN SOURCE
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Earn $500 Contributing AI Models to TT-Buda Demos
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Join us in adding AI models into TT-Buda demos and earn $500. Opportunities include working on Qwen-1.5 (0.5B), Phi-2 (2.7B), Gemma 2B Find out how to get started on our GitHub: https://
github.com/tenstorrent/tt
-buda-demos/issues
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Complete PyTorch Learning Guide with 15 Implemented Projects
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GitHub repository with everything you need to become proficient in #PyTorch, with 15 implemented projects: https://
github.com/Coder-World04/
Complete-Pytorch-with-Projects-Series-
… — compiled by @NainaChaturved8 See this book: http://
amzn.to/3eC3x2p
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#DataScience #DataScientists #AI #MachineLearning #Python #DeepLearning -
Build Perplexity-Inspired Answer Engine with Groq and Mixtral
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Build a Perplexity-Inspired Answer Engine Using Groq, Mixtral, Langchain, Brave & OpenAI in 10 Min Fun tutorial by our friends at @devdigest walking through how to build an answer engine over the internet Code: https://
github.com/developersdige
st/llm-answer-engine
… YouTube: https://
youtube.com/watch?v=43ZCeB
TcsS8&t=96s
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Fine-tuning LLMs Workshop at MLOpsWorld SF
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Excited to join @MLOpsWorld SF to lead a workshop on Fine-tuning Your Own #LLMs that Rival #GPT4. Join us to learn the benefits, use cases, and techniques for fine-tuning LLMs and get hands-on with popular open-source frameworks #Ludwig and #LoRAX! https://
pbase.ai/3IANSRU -
Stanford scholars publish open-source AI risks benefits analysis
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Open vs. closed AI? Scholars from various organizations including @StanfordHAI and @StanfordCRFM published a paper aimed at creating a more precise understanding of the risks and benefits of open-source AI. (via @axios)https://t.co/j7Nkw5W8xY pic.twitter.com/nodDoWMrVD
— Stanford HAI (@StanfordHAI) 15 mars 2024Open vs. closed AI? Scholars from various organizations including @StanfordHAI and @StanfordCRFM published a paper aimed at creating a more precise understanding of the risks and benefits of open-source AI. (via @axios
) https://
bit.ly/3wTsKDU -
Advanced Deep Learning with Python Guide
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Advanced #DeepLearning with #Python: http://
amzn.to/3FTiwTe via @PacktPublishing ———
#BigData #DataScience #AI #Coding #DataScientists #MachineLearning #NeuralNetworks #ComputerVision #NLProc #GANs #TensorFlow #PyTorch -
New LangChain Book: Building LLM Applications with Python and ChatGPT
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[New Book!] #GenerativeAI with #LangChain — Build Large Language Model (LLM) apps with #Python, ChatGPT, and other #LLMs: https://
amzn.to/3tiDk60 by @benji1a via @PacktPublishing ————
#AI #DeepLearning #MachineLearning #NLProc #GPT4 #Chatbot #DataScientists #Coding #DataScience -
845 Generative AI Repos on GitHub: Growth Analysis
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I went through the most popular AI repos on GitHub, categorized them, and studied their growth trajectories. Here are some of the learnings: 1. There are 845 generative AI repos with at least 500 stars on GitHub. They are built with contributions from over 20,000 developers,