Top stories in AI today: -Google releases new open-source models
-Magic claims major AI reasoning breakthrough
-Summarize PDFs with Adobe Acrobat AI
-5 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/google-goes-
open-source
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OPEN SOURCE
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Google Open-Source AI Models, Magic Reasoning Breakthrough, New Tools Jobs
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New Fine-Tuning Method Improves LLM Performance
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RT from @bindureddy at @abacusai >> New Way To Fine Tune #LLMs For Better Performance! The research paper: https://
arxiv.org/abs/2402.13228 The model: https://
huggingface.co/abacusai/Smaug
-Mixtral-v0.1
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Fine-tuned Small Open-Source Models Represent the Future
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Thanks for highlighting our work. The future is fine-tuned small open-source models!
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Gemma-7B Now Available as Serverless LLM Endpoint on Predibase
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🚀 #Gemma-7B now available for prompting in Predibase as a serverless #LLM endpoint.
— Predibase by Rubrik (@predibase) 22 février 2024
Try it out for free: https://t.co/HkWmdZvJFT pic.twitter.com/KRt5oCCnHP#Gemma-7B now available for prompting in Predibase as a serverless #LLM endpoint. Try it out for free: https://
pbase.ai/3IakXUk -
Perplexity Labs Introduces Gemma 2B and 7B Models
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Introducing new additions to Perplexity Labs: Experience Gemma 2B and 7B models known for impressive performance despite being lightweight. Try it now on https://t.co/2yYQB9jln7. pic.twitter.com/PIipmESdXN
— Perplexity (@perplexity_ai) 21 février 2024Introducing new additions to Perplexity Labs: Experience Gemma 2B and 7B models known for impressive performance despite being lightweight. Try it now on http://
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Adapters: The Future of LLMs – Fine-tuning Discussion
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Last Chance to Save Your Spot: 5 Reasons Why #Adapters are the Future of #LLMs. Join an interactive discussion w/ @DalianaLiu + @GeoffreyAngus on all things fine-tuning, #opensource LLMs and adapter-based training. Bring your questions! https://
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Deep dive into Gemma tokenizer and SentencePiece implementation
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Seeing as I published my Tokenizer video yesterday, I thought it could be fun to take a deepdive into the Gemma tokenizer. First, the Gemma technical report [pdf]: https://
storage.googleapis.com/deepmind-media
/gemma/gemma-report.pdf
… says: "We use a subset of the SentencePiece tokenizer (Kudo and Richardson, 2018) of -
Jeff’s Team Launches Open Source Project Successfully
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Great move to open source. Loving this speed Jeff and Team!
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Dolma: Open Corpus Three Trillion Tokens Language Model Pretraining
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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research Soldaini et al.: https://
arxiv.org/abs/2402.00159 #ArtificialIntelligence #DeepLearning #MachineLearning -
Google Gemma Now Supported in AutoTrain No-Code Tool
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Google announced gemma today, and yes, its already supported in your favorite no-code finetuning tool: AutoTrain