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10 Best AI Tools to Create YouTube Shorts from Existing Videos

Unite.AI

Comprehensive Output Provision: Delivers fully optimized shorts, complete with accurate captions, engaging titles, and coherent descriptions. The auto-schedule feature streamlines the sharing process, making ClipMaker a holistic solution for content creators, marketers, and brands.

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? Guest Post: How to Customize Auto-GPT for Your Unique Use Case: A Comprehensive Guide*

TheSequence

Auto-GPT An open-source GPT-based app that aims to make GPT completely autonomous. What makes Auto-GPT such a popular project? Auto-GPT has “agents” built in to search the web, speak, keep track of conversations, and more. How to Set Up Auto-GPT in Minutes Configure `.env` One of the most popular ones?

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8 best AI subtitle generators for 2023

AssemblyAI

AI subtitle generator applies an AI model to auto-generate subtitles. Veed’s auto subtitle generator automatically generates closed captions and adds them to videos in minutes, and can detect over 100 different languages and accents. Users can unlock unlimited auto-subtitling minutes for $16 per member per month.

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Add It to the Toolkit: February Studio Driver and NVIDIA App Beta Now Available

NVIDIA

The February NVIDIA Studio Driver, designed specifically to optimize creative apps, is now available for download. Creators can download the latest driver on the public beta of the new NVIDIA app , the essential companion for creators and gamers with NVIDIA GPUs in their PCs and laptops. Download the NVIDIA app beta today.

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Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

NVIDIA

At higher batch sizes, this acceleration significantly improves the experience for more sophisticated LLM use — like writing and coding assistants that output multiple, unique auto-complete results at once. TensorRT-LLM will soon be available to download from the NVIDIA Developer website.

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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Flipboard

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. The following diagram shows our solution architecture.

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Complete guide to running a GPU accelerated LLM with WSL2

Mlearning.ai

The CUDA toolkit can be downloaded from the NVidia website. Once your CUDA installation completes, reboot your computer. Download model Now that all dependencies are installed, we are ready to download a model. The text-generation-webui provides a handy script which will place the downloaded model in the correct location.

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