On my end, it is an LLM-chain product we are currently working on that saves me at least 2 hours/week. It's incredible! The second is for coding. GPT4 + good old googling and documentation, you can do anything!
CODE
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Devslam Dubai: AI-Powered App Generation Demo Booth
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Devslam Dubai is getting crazier. So many developers coming at our booth. Let me show you a demo on how to generate your applications 20X faster. Let’s meet, I have amazing gifts for you as well. Hall 26, P53.
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Limitations of one-step math to code in ChatGPT
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One-step math → code in ChatGPT is a fun demo, but not reliable. To do it for real, you likely have to:
– Transcribe the formula to LaTeX; verify; correct
– Have it explain any notation you don't know
– Generate code with verbose translation comments
– Read those comments -
Error in code generated from a mathematical formula
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The formula below is from one of several recent viral threads demoing one-step math screenshot → code in ChatGPT, where the generated code is wrong. In reality, it takes several rounds of careful feedback just to correctly transcribe that formula to LaTeX:
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Tips for Writing NLP Papers
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Tips for Writing NLP Papers https://
bit.ly/48lQCxX
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
10 Python Libraries for Generative AI
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10 Python libraries for #GenerativeAI
Via @ingliguori Credit Alex Wang
#MachineLearning #100DaysOfCode #IoT #100DaysOfMLCode #Python #javascript #Serverless #womenwhocode #cybersecurity #RStats #CodeNewbie #DataScience #DEVCommunity #BigData #Analytics #pythonprogramming #SQL #AI -
The Python Developer Who Will Never Lose Job to AI
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The only #Python guy who will never lose his job to #AI pic.twitter.com/1BBVqvDs0x
— Charly Wargnier (@DataChaz) 15 octobre 2023The only #Python guy who will never lose his job to #AI
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The Little Book of Deep Learning: A Concise Guide to Deep Learning Fundamentals
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The Little Book of Deep Learning, François Fleuret, University of Geneva Arguably one of the most concise deep learning books on the web. Covers a range of topics from fundamentals, efficient computation, training deep models, architectures, applications, and generative tasks.
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Markov Network Brains: Machine Learning and Data Science Technologies
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Markov Network Brains! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Markov-Network
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Understanding Feature Engineering in Machine Learning
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Understanding Feature Engineering. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Feature-CBOW