Remove topic laptops
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New Frontiers in Generative AI — Far From the Cloud

Unite.AI

As companies develop new applications for generative AI and deploy them on different types of devices — video cameras and security systems, industrial and personal robots, laptops and even cars — the cloud is a bottleneck in terms of bandwidth, cost, and connectivity. But what if they didn’t have to?

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AI News Weekly - Issue #376: Unlock AI: Top Tips for Election Officials - Mar 14th 2024

AI Weekly

reuters.com Applied use cases Workplace AI, robots and trackers are bad for quality of life, study finds Tech such as laptops, tablets and instant messaging has more positive effect on wellbeing, says thinktank theguardian.com AI detects heart defects in newborns Researchers from ETH Zurich and KUNO Klinik St. lemonde.fr

Robotics 187
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A Closer Look at OpenAI’s DALL-E 3

Unite.AI

This process has proven to be effective and less resource-intensive, making diffusion models a hot topic in the AI community. Today, diffusion models are not just a topic of academic interest but are being used in practical, real-world scenarios.

OpenAI 264
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10 Best AI Tools for Affiliate Marketing (August 2023)

Unite.AI

Topic Discovery – Discover dozens of relevant topic clusters in a matter of minutes, this enables a strategy to target different keywords. Instead of spending hours coming up with content ideas, the Assistant can help you generate original and engaging content ideas based on the topics you enter within seconds.

AI Tools 240
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Yury Rudnitski, Product Manager of the ChatOn App (AIBY Group) – Interview Series

Unite.AI

Users highly appreciated the quality of the questions and how they helped them to explore topics in depth. Also, it will surely become possible to run such large models on mobile phones, tablets, or laptops without even going online. Following its release, we saw that the demand for it was huge. This will make models much more capable.

Chatbots 130
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What Is Retrieval-Augmented Generation?

NVIDIA

However, it does not serve users who want a deeper dive into a current or more specific topic. LLMs are debuting on Windows PCs, thanks to NVIDIA software that enables all sorts of applications users can access even on their laptops. RAG doesn’t require a data center. An example application for RAG on a PC.

LLM 136
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Schedule Batch Inference of Machine Learning Model on Azure Cloud with Container Services and Logic…

Mlearning.ai

So you have full functions as if you’re working on a laptop. I may continue this topic as a series to break down the whole process in detailed execution steps with a sample ML project. Pros AML compute has full built-in Docker and Git for testing (you can choose a cheap one for testing and faster one for ACI during actual operation).