Introducing CM3leon, a first-of-its-kind multimodal model that achieves state-of-the-art performance for text-to-image generation with 5x the compute efficiency of competitive models. More details https://
bit.ly/44I6t7E
TOOLS
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CM3leon: State-of-the-Art Multimodal Text-to-Image Generation Model
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Microsoft Google Plan AI Integration Office Workspace Tools
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I assume Microsoft (Excel) and Google (Sheets) plan to build these same capabilities right into Office and Workspace. At least I hope so. CI is certainly impressive.
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PyTorch Python Overhead Estimated at Approximately 10 Percent
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I think the Python overhead in PyTorch is just ~10% as per PyTorch benchmarks compared with the non-Python API.
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Host Your Own LLM and Index Data with Predibase Tutorial
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⏱️1-Minute Tutorial⏱️
— Predibase by Rubrik (@predibase) 14 juillet 2023
Host your own #LLM and #index your own data to answer a series of questions using @predibase. In this video tutorial we use open-source #Vicuna.
Get started customizing your own LLMs with our free trial: https://t.co/Rq8fsQvD9N pic.twitter.com/f45Bs5j7Bl1-Minute Tutorial
Host your own #LLM and #index your own data to answer a series of questions using @predibase
. In this video tutorial we use open-source #Vicuna. Get started customizing your own LLMs with our free trial: https://
predibase.com/free-trial -
Learn Python Programming Free PDF Guide Seven Days
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Free PDF : Learn #Python Programming With No Coding Experience in 7 Days
#AI #GenerativeAI @FrRonconi @labordeolivier @Nicochan33 @Shi4Tech @mvollmer1 @KanezaDiane @enilev @fogle_shane @Ym78200 @kalydeoo @enilev @Khulood_Almani @AkwyZ @Hana_ElSayyed https://
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Hugging Face Papers Daily Email Released July 14
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https://
huggingface.co/papers daily email just went out for 14 July -
Gzip and kNN: Text Similarity Through Compression
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In short, the idea behind this gzip + kNN approach is that a given text A is close to the size of two concatenated texts A + B when compressed using Gzip. Or, the compressed size of A+A is similar to the compressed size of just A (plus a constant value for the back reference)
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AI-Powered Fraud Prevention Delivers $1 Million Annual Savings
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2/ What’s more? AI-powered fraud prevention saves ~$1 million annually. We are proud to see tangible results delivered through http://
H2O.ai use cases -
H2O.ai Catalog: 100 Hydrogen Torch Use Cases Collection
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3/ We’re very excited to share the http://
H2O.ai Catalog: Collection of Hydrogen Torch Use Cases. We’ve curated a collection of 100 diverse use cases, datasets, models, and outputs; all developed using Hydrogen Torch. -
IFFCO Tokio Saves Millions Using H2O Hydrogen Torch
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Top Insurance Company saves millions every year with @h2oai #HydrogenTorch
Here is how #IFFCOTokio General Insurance Co. Ltd. has successfully used H2O Hydrogen Torch in their business.
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