Calling all Los Angeles makers! We invite you to join us for an evening of open-source and ML scalability on December 1, 2022. Come hang out and talk with data science enthusiasts. Register: https://
meetup.com/los-angeles-ar
tificial-intelligence-deep-learning/events/289694346/
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OPEN SOURCE
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Los Angeles Open-Source ML Meetup December 1st
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Extended FREE Trial for OpenCV Beginners Course Now Available
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Don't blink, or you’ll miss it!
On popular demand, we've extended the FREE trial for our OpenCV beginners course by 3 days. Claim your access to the FREE TRIAL Now – https://
opencv.org/course-opencv-
for-beginners/
… #beginner #getstarted #ai #computervision -
HCL Fastest Growing Language on GitHub Ahead Rust TypeScript
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TIL that @HashiCorp
’s HCL is the fastest growing language on @github
, faster than Rust and Typescript! People think Infra as Code is old hat, but it is still in a decade long growth trajectory and of course it’s gonna be on github #GitHubUniverse -
Recent LangChain Updates and New Features
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A lot of stuff has been added to LangChain recently For a good thread on how we're thinking about it, see the below And of course, check out all the additions at https://
github.com/hwchase17/lang
chain/
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LangChain 0.0.19: Sequential Chains and Vector DB Updates
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LangChain version 0.0.19 Sequential chains: define a list of sub-chains and run them in order
Expose prompt for changing in vector db/qa
Clean up some documentation -
PyTorch Optimum Achieves 4.5x Speedup for Transformer Models
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A collaboration with @PyTorch to make transformer-based models faster using optimum library! Up to 4.5x speedup for text, vision and audio models using a one liner! Try it out now: https://
huggingface.co/docs/optimum/b
ettertransformer/overview
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LangChain 0.0.18 Release with Documentation and Interface Updates
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LangChain version 0.0.18 Docstring cleanup from @Jim_Salmons (first time contributor!)
Insert ability to the docstore/vectorstore interfaces from @sjwhitmore -
Whisper Paper Reading: OpenAI’s Speech Recognition Model
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Don't forget to read the paper ahead of the reading: https://
openai.com/blog/whisper/ -
ML4Audio Paper Reading: OpenAI Whisper Speech Recognition
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Come one, come all! We're back with ML 4 Audio paper readings! This time we'll unravel the mysteries behind @OpenAI Whisper and what makes it so good at speech recognition and other Seq2Seq tasks! We'll be live this Thursday, 24th Nov, 18:00 CET on @huggingface discord
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execnb Documentation Link: FastAI Notebook Execution Tool
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Here's a link to the docs for execnb 😀 https://
fastai.github.io/execnb/