https://
huggingface.co/papers email for 18 July is out
OPEN SOURCE
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Hugging Face Papers Daily Email Released for July 18
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AlpaGasus: Training Better Alpaca Models with Less Data
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AlpaGasus: Training A Better Alpaca with Fewer Data paper page: https://
huggingface.co/papers/2307.08
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… Large language models~(LLMs) obtain instruction-following capability through instruction-finetuning (IFT) on supervised instruction/response data. However, widely used IFT datasets (e.g., -

CLI Tools for ChatGPT and Large Language Models
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llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs https://
bit.ly/3Iny8lx #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Building and Serving Open-Source LLMs with Hugging Face
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At Hugging Face, we are working to enable you to easily build and serve your own LLMs In this blog, we talk about the amazing world of open-source LLMs, the challenges, and how the Hugging Face ecosystem can help you Read about them here https://
huggingface.co/blog/os-llms -

Detectree2: Automatic AI-based tree crown detection
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GitHub – PatBall1/detectree2: Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
https://bit.ly/3XdINFp #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Tech Stack Mix: Transformers, Langchain, OpenAI API Without Dolly
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Looks like it’s mix: Transformers , Langchain, Open AI API, etc… Probably no Dolly.
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Code Interpreter API: Recreating ChatGPT’s Functionality Locally
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Code Interpreter API ChatGPT's code interpreter is the hottest thing in the streets. A new project by @Shroominic takes a stab at recreating that functionality locally using OpenAI's apis Uses CodeBox – a sandboxed env with simple fileIO functionality Blog & GitHub
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English SDK Makes Apache Spark More Accessible
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#EnglishSDK for #ApacheSpark An approachable #Spark experience English SDK for Apache Spark lowers the barrier to programming by using English as the base for coding — and makes #Spark tables and DataFrames more approachable Check it out
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AnimateDiff: Motion Module for Personalized Animated Image Generation
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9/ AnimateDiff – appends a motion modeling module to a frozen text-to-image model, which is then trained and used to animate existing personalized models to produce diverse and personalized animated images. https://t.co/L4VOSdideP
— DAIR.AI (@dair_ai) 16 juillet 20239/ AnimateDiff – appends a motion modeling module to a frozen text-to-image model, which is then trained and used to animate existing personalized models to produce diverse and personalized animated images.
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HyperDreamBooth: 25x Faster Personalized Text-to-Image Model
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7/ HyperDreamBooth – introduces a smaller, faster, and more efficient version of Dreambooth; enables personalization of text-to-image diffusion model using a single input image, 25x faster than Dreambooth.