Quickly deploy trained #DeepLearning networks into production Learn more http://
spr.ly/6010PoRXQ
CODE
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Deploy Deep Learning Networks to Production Quickly
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Code Llama 34B Instruct Now Available on Hugging Chat
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Code Llama: Now on Hugging Chat 💻🦙
— Hugging Face (@huggingface) 28 août 2023
Try out the 34B Instruct model for free with super fast inference!
👉 https://t.co/TQ0ZaVZcdi pic.twitter.com/Vovq91thG2Code Llama: Now on Hugging Chat Try out the 34B Instruct model for free with super fast inference! http://
hf.co/chat -
Copilot becomes primary focus in IDE experience
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Yes, right now it is, it’s as if co-pilot was the main focus of the IDE, it’s an AI first experience.
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Timeline-Based Data Structure for Personal Event RAG Queries
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Just saw a talk by @AlonHalevy about using a **timeline** based data-structure to do RAG. Really useful for querying over personal events Need to dive into this more! Am always excited to see novel data-structures Repo here: https://
github.com/facebookresear
ch/personal-timeline/tree/main
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Creative embedding generation techniques for document processing
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The cool thing about this is this can work with arbitrary ways of generating different embeddings for a document E.g. by splitting into smaller chunks, creating a summary of the document, generating hypothetical questions What other creative ways could we do this?
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Prompt2Model: Automated Small Model Training Pipeline
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8/ Prompt2Model – takes a prompt describing a task and trains a small model that is conducive to deployment; the pipeline automatically collects and synthesizes knowledge through three channels: dataset retrieval, dataset generation, and model retrieval.
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SeamlessM4T: Unified Multilingual Multimodal Machine Translation System
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3/ SeamlessM4T – a unified multilingual and multimodal machine translation system that supports ASR, text-to-text translation, speech-to-text translation, text-to-speech translation, and speech-to-speech translation.
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Weights compatibility and numerical stability in LoRA fine-tuning
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Yes, I think that's either maybe so that (1) people with older cards can use these weights as well and (2) we maybe have more stability when finetuning with LoRA etc (in case numbers become large)
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Developer Debugs Complex Stack Issue After Week of Investigation
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Found bug that I've been working on all week. Required leveling up conceptual understanding of a particular area of the stack, building new observability tooling, and running many iterative experiments to isolate the issue. Incredible feeling now that it's fixed.
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Hugging Face Learning Resources: Start Your AI Journey
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The best places to start learning about the Hugging Face ecosystem are our courses: https://
huggingface.co/learn and the tasks page: https://
huggingface.co/tasks