“As DataRobot and AWS now become even more aligned, the potential to further leverage the strengths of both platforms with simplified workflows, enhanced scalability and accelerated time-to-market is tremendously exciting.” Read about how DataRobot has achieved the @awscloud
AI
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Generative Models and Diffusion Models in Chemistry
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Exploring the Promise of Generative Models in Chemistry: An Introduction to Diffusion Models https://
bit.ly/3Yt08es #AI #MachineLearning #DeepLearning #LLMs #DataScience -
LangSmith Expands JavaScript Cookbook Examples for Developers
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Most of LangSmith cookbook examples has focused on Python so far, but we're going to start adding a lot of them for JS developers! First up – logging feedback in your app
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Hyper Hiring React Native Developer for AI Companions
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We're hiring a React Native Developer over at Hyper. Come build the best AI Companions with us. More details in the thread.
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React Native Developer Wanted: AI and AR Focus
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Looking for someone: + Portfolio of personal, oss, or professional RN projects
+ Excited by AI & AR.
+ Interested in interactive media. Job listing: https://
ycombinator.com/companies/hype
r-online/jobs/BFhtuZf-react-native-developer
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CHITA: Scalable Neural Network Pruning Optimization Method
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Introducing CHITA, an optimization-based approach for pruning pre-trained neural networks at scale. Learn how it leverages advances from several fields and outperforms state-of-the-art pruning methods in terms of scalability and performance tradeoffs → https://t.co/Efokrj0y6W pic.twitter.com/4Eu7LKYzmJ
— Google AI (@GoogleAI) 17 août 2023Introducing CHITA, an optimization-based approach for pruning pre-trained neural networks at scale. Learn how it leverages advances from several fields and outperforms state-of-the-art pruning methods in terms of scalability and performance tradeoffs → https://
goo.gle/3E12kAc -
Fallbacks Now Work for All Chains Implementation
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Fallbacks also works for all chains! Gist showing that here: https://
gist.github.com/hwchase17/26ec
a9f20031c349bd72fdc669c05a1f
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LLM Development Methods: Prompting, Fine-tuning, Few-shot
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In addition to prompting LLMs, many developers are now also experimenting with fine-tuning. I describe in The Batch how to choose from the growing menu of options for building applications with LLMs: Prompting, few-shot, fine-tuning, pre-training.
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Predibase and LangChain Partnership for Fine-tuning Open-Source LLMs
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Predibase + @langchain
: The easiest way to #finetune and productionize open-source #LLMs! Our partnership brings production-grade workflows and managed infrastructure to teams that want to build on state-of-the-art open-source #models. Learn more: https://
pbase.ai/3qxmAXd