Will try to take some of these ideas on put them our page aimed at help making deployment easy That being said, if anyone has an example repo/snippet and wants to help contribute it, would be
CODE
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Friendly Introductory Book on Understanding Deep Learning
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From its introduction, the book is friendly. No heavy proofs, uses simple language that is easier to understand, etc…If you are looking for an introductory book, this one might be for you. There are also resources for instructors(like slides). https://
udlbook.github.io/udlbook/ -
English Becomes the Hottest New Programming Language
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The hottest new programming language is English
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LangChain Integration Instructions and Examples Request
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woah that does look great! are there intstructions/examples for LangChain @MagickML integration?
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GroqFlow GitHub: Automated ML Compilation for GroqChip Processors
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Check out GroqFlow™ on GitHub – http://
github.com/groq/groqflow. It is the easiest way to get started with Groq's technology. It provides an automated tool flow for compiling #ML and linear algebra workloads into @GroqInc programs & executing those programs on GroqChip™ processors! -

Live Whisper Model Inference Now Available on Hugging Face
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Wohoo! Thanks to @narsilou
, you can now run live inference on any of the @OpenAI Whisper models on the hub using the pipeline. Come check it out now! P.S. Don't forget to install from main Script: https://
gist.github.com/Vaibhavs10/a48
d141534cc8d877937d421bb828d8e
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Missing Parameters Azure OpenAI LangChain Integration
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would love to fix this! what parameters are missing from https://
langchain.readthedocs.io/en/latest/modu
les/llms/integrations/azure_openai_example.html
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Chain of Thought Frameworks for Advanced AI Solutions
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Here are some innovative frameworks leveraging Chain of thoughts prompting to enable advanced AI solutions: 1. @langchain 2. @dust4ai Feel free to add more if you come across any and share your experience!
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Pandera: Python Library for Pandas DataFrame Validation
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Validate your Pandas DataFrame with "Pandera". In a Data Science Project testing the data is important to make sure that it works as you expected. Here is an amazing python library that helps you in data validation.
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Tracr: DeepMind’s Interpretability Tool Compiling Code to Transformers
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Meet Tracr: DeepMind & ETH Zurich’s Novel Interpretability Tool Compiles Human-Readable Code to Transformers’ Weights