Remove directory entertainment
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Twitch offers a Gold Pixel Heart badge for those who join Together for Good campaign

Dataconomy

Twitch, a platform synonymous with interactive entertainment, has long been a conduit for positive social impact. Through this initiative, Twitch is not only reinforcing its role as a platform for entertainment but also as a powerful agent for social change, empowering its vast community to make a tangible difference in the world.

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Custom Video Classification Using YOLOv8

Heartbeat

We will collect data for four classes: entertainment, news, sports, and music. list( q='entertainment', type='video', videoDefinition='high', videoDuration='short', part='id', maxResults=50, pageToken=next_page_token ).execute() Go to your working directory and set up a python3.9

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professionals

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External & Directory Tables in Snowflake 101

phData

What are Directory Tables in Snowflake? Directory tables are used to store metadata about the staged files. Users with proper privileges can query directory tables to retrieve file URLs to access the staged files. A directory table is not a separate database object but an implicit object layered on a stage.

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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning Blog

Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance. Create a tarball of the models After you create the models and code directories, you can use the following command lines to compress the model into a tarball (.tar.gz

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Toolify review: The popular AI tools directory

Dataconomy

Toolify is the largest AI tools directory and marketplace, featuring over 9900 AI-powered tools across 233 categories. These voice manipulation capabilities open new creative horizons for audio, entertainment, personalization, and more. Image credit ) Some of the major categories and popular use cases include: 1.

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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

Flipboard

We use two AWS Media & Entertainment Blog posts as the sample external data, which we convert into embeddings with the BAAI/bge-small-en-v1.5 These loaded model artifacts are stored in the local directory within SageMaker Studio. Download and save the model in the local directory in Studio. embeddings.

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A Complete Guide for Creating an AI Assistant for Summarizing YouTube Videos — Part 1

Towards AI

And here is an entertaining analogy: much like a falcon gracefully soaring at high altitudes, simultaneously possessing the ability to zoom in on any object of interest, our Falcon-powered tool empowers users to gain a bird’s eye view of the content while effortlessly transitioning into a detailed exploration through a comprehensive full transcript!

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