This post may or may not be true – but nothing described in it is unrealistic. A trained LLM + image2image. Add some Human-in-the-loop fine-tuning and this project could exist in a few months.
LLMS
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Model trained with 2048 token sequence length
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It was trained with a sequence length of 2048 tokens.
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A Closer Look at Large Language Models and AI Technologies
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A Closer Look at Large Language-Models! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Closer-Look -
ChatGPT omitted from LLaMA paper: pre-release or intentional?
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ChatGPT (GPT-3.5) was not mentioned in the LLaMA paper. Either these tests were conducted prior to ChatGPT’s release, or it was intentionally left out of the comparison study.
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ChatGPT Best Uses According to ChatGPT
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#ChatGPT: Best Uses According to ChatGPT! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/ChatGPT-ChatGPT -
Researcher Explores Chain of Thought Reasoning Techniques
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@_jasonwei someone is enjoying chains of thoughts.
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ChatGPT versus Google Bard: A comprehensive AI comparison
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AI Battle: ChatGPT Vs Google's Bard. Which one is better?
By @ingliguori #AIBattle #ChatGPT #Bard #AI #MachineLearning #NLP #DeepLearning #OpenAI #GoogleAI #NaturalLanguageGeneration #Technology #ArtificialIntelligence -
Post by @goodside: Prompt Engineering for @washingtonpost with @drewharwell and @simonw
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Talked Prompt Engineering with @drewharwell for @washingtonpost — quotes from @simonw too:
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Doubling Capabilities Without Increasing Trainable Parameters
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Trainable parameters remain same while the capabilities sort of double.
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LLMs could have Stable Diffusion moment, run locally soon
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Decent LLMs could have their "Stable Diffusion" moment within a year – and be able to run locally on your own machine. They are getting smaller and more efficient: Meta's LLaMA 13B model beat GPT-3 in 5:7 zero-shot common sense reasoning tests, with ~92% fewer parameters.