Join us at 11AM PT / 2PM ET for a Make with http://
H2O.ai! Hear winning #kaggle competition strategies and ask data science questions! Register for today's session https://
h2o.ai/events/make-wi
th-h2o/?utm_campaign=Make-With-H2O&utm_source=twitter&utm_medium=Organic-Social
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Make with H2O: Kaggle Strategies and Data Science Q&A Session
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LangChain 0.0.25: Bug Fixes and Feature Improvements
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LangChain version 0.0.25 Bug fix for the semantic similarity example selector (@AkashSamant4)
Support SQL statements that return no results (@andrewgleave – 1st PR! Welcome!!)
Tidying up SerpAPI and PALChain
Adding examples of demos that use LangChain -
Train Your Own AI Model with Huggy on Hugging Face
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To train your own good boy: https://t.co/RFMysGNrnP https://t.co/L2VE6rAMSK
— clem 🤗 (@ClementDelangue) 30 novembre 2022To train your own good boy: https://
huggingface.co/spaces/ThomasS
imonini/Huggy
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dbt Cloud adds dbt-databricks support with Unity Catalog
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Did you the news? @getdbt Cloud added support for dbt-databricks dbt Cloud users can now take advantage of #UnityCatalog’s three-level namespace, enabling clean separation of tables and views managed by dbt models. Learn more
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BLOOM: 176B Parameter Open-Access Multilingual Language Model
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Le Scao et al.: https://
arxiv.org/abs/2211.05100 #ArtificialIntelligence #DeepLearning #MachineLearning -
Text-davinci-002 derived from code-davinci-002 with code training
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News to me that text-davinci-002 derives from code-davinci-002. I imagined the code model had code training the text one lacked. It looks like they both have code training, but instruction tuning interferes with code completion use cases maybe.
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Whisper Fine Tuning Events with OpenAI and Meta talks
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Yess! Join @sanchitgandhi99 as he unpacks the Whisper Fine Tuning Events this Friday! Followed by talks from @OpenAI and @MetaAI on Monday!!
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TorchMultimodal: PyTorch Library for Multimodal Multi-Task Models
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TorchMultimodal is a @PyTorch library for training state-of-the-art multimodal multi-task models at scale. You can learn more and get started here https://
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GeLU, LayerNorm and Mathematical Operations in Neural Networks
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A lot of fun in the Appendix, e.g. how GeLU can be used for multiplication / bypassing it as identity, use of LayerNorm for division, or bypassing that as identity, etc.