Transformers with RNNs! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #NLProc #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/TF-RNNs
INNOVATION
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Transformers with RNNs: Advanced Machine Learning Techniques
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Artist Mints Wong Kar Wai Inspired AI Generated Dystopian Dreams Collection
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♥️ I love my Wong Kar Wai inspired escapism into Dystopian Dreams. I’m going to mint them in a collection and share this week before I head back to Asia. #midjourney pic.twitter.com/SMrXIo2T1R
— 🖤 Christine (@christinelu) 18 mars 2023I love my Wong Kar Wai inspired escapism into Dystopian Dreams. I’m going to mint them in a collection and share this week before I head back to Asia. #midjourney
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Copilot et VS Code simplifient la programmation avec l’autocomplétion
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Copilot and VS Code make things way easier. I like to pass instructions via a sequence of comments and I am always surprised by its code completion capability.
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Jensen Huang keynote reveals next AI breakthroughs at GTC23
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To find out what’s coming next in #AI, tune in to our CEO Jensen Huang’s @NVIDIAGTC keynote on Tuesday, March 21, at 8am PDT. #GTC23 https://
blogs.nvidia.com/blog/2023/03/1
6/next-ai-gtc/?ncid=so-twit-265063#cid=gtcs23_so-twit_en-us
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Copilot’s Powerful Combo Effect When Prompting Works Well
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When you prompt it well enough and copilot "gets" what you're trying to achieve, it is a discrete transition that feels like doing powerful combos and dealing critical damage in video games
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Adapting to AI: From Skepticism to Best Coding Buddy
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It's really, really good. I find that many programmers still 1) haven't tried, or 2) quit too fast. It takes some time to adapt your programming habits to it and to develop internal models around when/how it is likely to work. Then it quickly becomes the best coding buddy.
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New Book on ChatGPT Consequences Releases May 24
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Mon nouveau livre consacré aux conséquences de #ChatGPT sort le 24 mai
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Gradient-based Learning Becoming Less Common in AI
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I'm still intuitively adjusting to the new world where gradient-based learning is less common/desirable. But the trend increases my confidence in an earlier prediction in my earlier "33 years from now" blog post https://
karpathy.github.io/2022/03/14/lec
un1989/
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Base LLMs as Strong Few-Shot Classifiers Without Fine-tuning
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Base LLMs (non-finetuned) make very strong few-shot classifiers. Describe task in English, give few examples, read off the label probabilities on test example. No gradient-based optimization necessary. It brings a cannon to a knife fight but is fast, convenient, strong baseline.
