That's a wrap! If you interested in: • Python • ML/MLOps • CV/NLP • LLMs • AI Engineering Find me → @akshay_pachaar Everyday, I share tutorials on above topics! Cheers!!
LLMS
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Andrej Karpathy’s makemore series: Essential LLM learning resource
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Andrej Karpathy He's not only a pioneer but the best teacher in the world of AI. If you are interested in LLMs, his is latest series on makemore is something you don't want to miss. Check this out
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Building an AI-Powered Decentralized News Aggregator
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I am still building an AI-powered & decentralised news outlet. For now, focusing only on ChatGPT, Google Bard and Microsoft Copilot.
— 🚨 AI News | TestingCatalog (@testingcatalog) 26 novembre 2023
Some things I can do next:
1. Enhance "AI news GPT" to be able to use real-time information from Twitter and other sources which are not… pic.twitter.com/0MBaS8d9wkI am still building an AI-powered & decentralised news outlet. For now, focusing only on ChatGPT, Google Bard and Microsoft Copilot. Some things I can do next:
1. Enhance "AI news GPT" to be able to use real-time information from Twitter and other sources which are not -
Open Ko-LLM Leaderboard Launches with 500+ Models
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We’re thrilled to announce that our Open Ko-LLM leaderboard, (GPU/CPU sponsored by KT and @huggingface
), now features over 500 models! If you’re developing a Large Language Model (LLM), come test its Korean language abilities at our leaderboard, https://
huggingface.co/spaces/upstage
/open-ko-llm-leaderboard
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MLSpring Newsletter Reaches 4000 Subscribers
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I've just reached 4000 subscribers on my newsletter MLSpring! It focuses on AI Engineering, covering: – LLMs – MLOps – Machine Learning – AI Engineering Stay ahead of the curve! Subscribe now: http://
mlspring.beehiiv.com/subscribe -
GPT-4 Vision Applications for Streamlit Apps
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@JefferyTatsuya just dropped an impressive Twitter on my latest #GPT4Vision blog post! Heartfelt thanks to you, Jeffrey! I feel truly honored! (link to the post https://
blog.streamlit.io/7-ways-gpt-4-v
ision-can-uplevel-your-streamlit-apps/
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AI Engines Book Review: Technologies and Frameworks Overview
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#AI Engines: Book Review. #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/AI-Engine -
Distinguishing Humans from LLMs with Chain-of-Thought
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I literally actually don't know what you mean by this. What in this sense distinguishes a human from an LLM using chain-of-thought?
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Training Large Models Has Become Trivially Easy in 2023
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Sir, this is 2023. Training over a hundred million parameters is what happens when you press the "train Lora" button on the HTML interface.
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LLM Token Limits Prevent True Reasoning Capability
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It's not an assumption. Reasoning, as I define it, is simply not doable by a system that produces a finite number of tokens, each of which is produced by a neural net with a fixed number of layers.