There’s never been anything like 2023 in software The rate + quality of new products / research in OSS, startups, bigtech, and on arXiv has been breathtaking + inspiring. Playing w/ so many different LLMs still gives me daily goosebumps. And we’re just getting started.
OPEN SOURCE
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AutoTrain Advanced Reaches 100k PyPI Downloads Milestone
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AutoTrain Advanced has crossed 100k pypi downloads in such a short time If you don't know about it yet, its a solution for both coders and non-coders to train machine learning models effortlessly! Check it out now!!! pip install autotrain-advanced
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Fine-tune Mistral7B on Single GPU with Ludwig AI
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Check out this new deep dive blog post from @ludwig_ai community member @AlexSherstinsky and project maintainer @grg_arnav to learn how you can efficiently fine-tune #Mistral7B on a single GPU. Notebooks included! Link to the tutorial: https://
pbase.ai/45tmSwM -
BTLM Achieves 7B Performance in 3B Parameter Model
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In Davis Blalock's latest arXiv roundup, BTLM is mentioned as achieving 7B parameter performance in a 3B parameter model. Davis mentions, "I’m not sure I’ve seen any other non-GPU hardware vendors do this with a model of this size and quality." Read here: https://
dblalock.substack.com/i/136702777/bt
lm-b-k-b-parameter-performance-in-a-b-parameter-model
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Comparing Closed vs Open Source Models: Deployment Costs and Fairness
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how can you compare a non open source, non deployable model with an open source model which is deployable? whats the actual cost fpr deploying gpt3.5 or gpt4? i also have a lot of respect for openai but not for comparison of apples and oranges.
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Hugging Face Inference Pro announcement and details
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https://
huggingface.co/blog/inference
-pro
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New API for Discovering Public Models on Replicate
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We've added a new API for listing public models. You can use it to discover newly published models and to build your own tools for exploring the thousands of open-source models published by our community. https://
replicate.com/changelog/2023
-10-05-api-for-listing-public-models
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Uber Powers 500K Queries Daily with Open Source Presto
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To power 500,000 daily queries and 12,000 active monthly users, @Uber chose the open source Presto, a distributed query engine available in watsonx․data open data lakehouse. Read how Presto helped improve speed, scalability and operational efficiency: https://
ibm.biz/BdMUAC -
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models Open X-Embodiment Collaboration : https://
robotics-transformer-x.github.io #ArtificialIntelligence #ReinforcementLearning #Robotics