OpenAI’s ChatGPT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/OpenAI-Chatbots
LLMS
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OpenAI’s ChatGPT: Revolutionary AI Technology for Data Science
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Large language models cannot provide sustainable competitive advantage
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And in the event you find a niche use case where the curve *on its own* is valuable, you should expect that use case will get commoditized in short order. A big curve trained on public data can never be a moat, no matter how large the dataset / how big the curve.
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ChatGPT Self-Improvement: Addressing Weaknesses and Capabilities
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Asking ChatGPT how to improve itself and mitigate its weaknesses. The answers are surprisingly good!
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Transformers as Logic Gates: Architecture Limits and Data Scaling
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still struggling with the “transformers are the new type of logic gate” analogy. its a more greedy architecture that works until we run out of data. how does that put it on the same level as transistors?
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AI can’t actually browse web, just hallucinates URLs
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You can’t get it to browse the web. You can make it think that it can, and will it say that it can and make up plausible-seeming URLs, but it’s just hallucinating. You can also make it think it’s a squirrel, but it’s not a squirrel.
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ChatGPT Now Available via Text Message Service
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— Matt Shumer (@mattshumer_) 3 décembre 2022
Want to text with ChatGPT? Now you can! Just text +1 (631) 801-7599 and start talking to it.
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ChatGPT: Alignment Breakthrough Beyond Base Model Capabilities
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Exciting but overlooked that ChatGPT is primarily an alignment advance—the base model (GPT-3.5) has been available in publicly for many months, but making it into a useful chat system required significant strides with reliably following the intent of the developer and the user.
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Correction on input length limit and token truncation
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My example using "A A A A" contains a mistake — 2048 tokens is actually longer than the per-cell maximum input length. The input is silently truncated when too long. You need to give it 7 or 8 repetitions of an input that contains ~1024 tokens.
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GPT-JT: Open Source Alternative to GPT-3
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Meet GPT-JT, the Closest Open Source Alternative to GPT-3 https://
analyticsindiamag.com/meet-gpt-jt-th
e-closest-open-source-alternative-to-gpt-3/
… #midjourneyAi #dalle2 #Web3 #digitalartists #100DaysOfCode #OpenSource #bot #python #Digital #javascript #CodeNewbie #NFTs #digitalart #NFTArts #NFTartists #art #Artists #AI #DL #RT #AIart #ML -
GPT-3 Evolution: Open Source Models Outperform Proprietary Solutions
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Today’s gpt3 is not the same thing as what was released two years ago and there are many better oss models for a lot of different tasks/setups/usecases (which is why most companies today use open models)