Revolutionize natural language generation with a crowdsourcing framework for lexically constrained decoding! Find out how this AI approach harnesses the power of the crowd to generate text that meets specific criteria. Read more: https://
bit.ly/3KN1c82 @jeevprabnivash
LLMS
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Crowdsourcing Framework Revolutionizes Lexically Constrained Text Generation
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ChatGPT API outperforms Davinci in Scale AI Spellbook
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Just dropped: @OpenAI ChatGPT API access in @scale_AI Spellbook . We’re seeing lots of cases where the ChatGPT API outperforms Davinci — like evaluating quadratic equations. Deep dive on the improvements:
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Language Models: Next Word Prediction Creates Unexpected Complexity
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language models just being programmed to try to predict the next word is true, but it’s not the dunk some people think it is. animals, including us, are just programmed to try to survive and reproduce, and yet amazingly complex and beautiful stuff comes from it.
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Microsoft LLM-Augmenter Reduces ChatGPT Hallucinations Improves Factual Accuracy
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Tackling Hallucinations: Microsoft’s LLM-Augmenter Boosts ChatGPT’s Factual Answer Score
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C4 Pretraining Limits in Base Model Development
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We might be hitting limits of the c4 pretraining that the base model uses as well.
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Flan-PaLM 62B Model Shows Modest Performance Improvements
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Good point. It's a modest boost. When you take into account Flan-PaLM 62b results, this falls within expectation. It's modest. We didn't expect game changing results from this model either. We just give folks the option to squeeze a little more quality if they could afford to.
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Fine-tune Foundation Models on Your Data with Predibase and Ludwig
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Want to tune a #FoundationModel on your own data without sending it to a vendor?
— Predibase by Rubrik (@predibase) 2 mars 2023
With Predibase and #opensource @ludwig_ai, tuning #LargeLanguageModels is as easy as changing a few lines in a config file.
Request a demo to learn more: https://t.co/B0edFxmICc#DeepLearning #GPT pic.twitter.com/PyDvI1A1RJWant to tune a #FoundationModel on your own data without sending it to a vendor? With Predibase and #opensource @ludwig_ai
, tuning #LargeLanguageModels is as easy as changing a few lines in a config file. Request a demo to learn more: https://
lnkd.in/gTdE8gxh #DeepLearning #GPT -
LLM Potential: From Lead to Gold Transmutation Success
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My take on LLM/CHATters. We're going to transmute lead to gold! Why now? We just pumped massive energy in and got Pb to turn to liquid. First time ever. It logically follows that soon we will have AgI(silver incalculable) and even AuI. We (my in group) are going to be RIIICCCHHH!
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UL2 Model Now Available on Hugging Face
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The ul2 model is already on Huggingface. I don't know how HF works but it should be minimal work to make it available there. It's an identical model config to ul2 20b. Cc:
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Flan Model Update Released Following Academic Industry Success
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With the great success of Flan on both academia/ industry, this update was long overdue! In fact, this was the "bonus model" that we had plan to release because the original tweet got > 1k likes. lol. but i got busy . @jeremyphoward @_jasonwei https://
x.com/quocleix/statu
s/1583523186376785921
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