free startup idea: Reverse Matplotlib, software that inputs figures and outputs code I often find myself in a position where I have a graph like this one, and want to make minor changes, but the raw data is hard to regenerate need a tool that can recreate the code & data for me
OPEN SOURCE
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Grok AI Released Open Source: Limited Reproducibility Against Competitors
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Musk's Grok AI was just released open source in a way that is more open than most other open models (it has open weights) but less than what is needed to reproduce it (there is no information on training data). Won't change much, there are stronger open source models out there.
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xAI Releases Grok Model to Open Source
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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
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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