And lots of misc bugs/docs improvements! s/o @rvorias
, Zack Witten, Gabriel Simmons, @kevin_w_huo
, Amos Ng, @jamescalam for flagging and/or fixing!
AI
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Open Source Project Updates and Bug Fixes Released
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LangChain 0.0.79 Release: New AI Features and Integrations
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New release (0.0.79) with new features! @huggingface inference endpoint integration SQLDatabase chain # of rows Google Drive and Obsidian data loaders Saving/loading of FAISS vectorstore And also lots of small quality of life bug fixes/doc improvements
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Hugging Face Inference Endpoint Integration in LangChain
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@huggingface inference endpoint integration If you've deployed your Hugging Face model to an inference endpoint, you can use it easily in LangChain! s/o @EnoReyes for adding Inference Endpoint Docs: https://
huggingface.co/inference-endp
oints
… Code: https://
github.com/hwchase17/lang
chain/blob/master/langchain/llms/huggingface_endpoint.py
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Alex’s Open Source Track Record Promises Quick Market Entry
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Alex has a great track record of open source, won’t be long on the market.
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LearnOpenCV Launches New AI Course on Kickstarter for Valentine’s Day
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This Valentines Day, our latest course is launching on Kickstarter. Stay tuned! https://
bit.ly/3HG6gI7 #kickstarter #course #launch #ai #computervision #deeplearning #machinelearning #artificialintelligence -
Cerebras Wafer-Scale Engine Runs First CFD Simulation
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Today, with @NETL_DOE & @psc_live we announced the first ever computational fluid dynamics simulation on our Wafer-Scale Engine. Running on @NSF-funded Neocortex, this natural convection simulation promises more insightful #scientificcomputing https://t.co/ud3sL53WZg pic.twitter.com/zCDvKISb8H
— Cerebras (@cerebras) 7 février 2023Today, with @NETL_DOE & @psc_live we announced the first ever computational fluid dynamics simulation on our Wafer-Scale Engine. Running on @NSF
-funded Neocortex, this natural convection simulation promises more insightful #scientificcomputing http://
cerebras.net/cfd -
Abacus AI: Complete MLOps Platform for End-to-End Solutions
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Sounds interesting but don't know where to start? Check out this end-to-end MLOps platform by @abacusai https://
abacus.ai -
MLOps Bridges Data Science and IT for Secure AI Deployment
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At the end of the day, MLOps practices can help organizations to achieve their AI goals more quickly and efficiently. By fostering collaboration between data science and IT teams, MLOps can help to ensure that AI is deployed in a way that is secure, reliable, and scalable.
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MLOps Enables Data Scientists to Focus on Model Development
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Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.
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MLOps ensures secure reliable scalable model deployment
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This improved collaboration between data science and IT also helps to ensure that models are deployed in a way that is secure, reliable, and scalable. For ex, MLOps practices can help to prevent security breaches and ensure that models continue to perform well in production.