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Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process can become prohibitively time-consuming, costly, and complex. Enterprises struggle with managing …

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How Gramercy Tech used Imagen to deliver an innovative conference experience

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Editor’s note: In this guest post, we will hear from Gramercy Tech about their experience working with Google Cloud as both a customer and vendor. Organizing engaging events can be quite challenging, but by utilizing Google’s Imagen throughout the conference, the Gramercy team was able to demonstrate the possibilities of generative AI for creating real-time …

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AI found to boost individual creativity — at the expense of less varied content

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

A new study finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories — their ability to engage the target audience and potential for publication. However, AI was not judged to enhance the work produced by more creative writers and the study also warns that while …

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Tips for Effectively Training Your Machine Learning Models

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

In machine learning projects, achieving optimal model performance requires paying attention to various steps in the training process. But before focusing on the technical aspects of model training, it is important to define the problem, understand the context, and analyze the dataset in detail. Once you have a solid grasp of the problem and data, …

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Contrasting Multiple Representations with the Multi-Marginal Matching Gap

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Learning meaningful representations of complex objects that can be seen through multiple (k≥3kgeq 3k≥3) views or modalities is a core task in machine learning. Existing methods use losses originally intended for paired views, and extend them to kkk views, either by instantiating 12k(k−1)tfrac12k(k-1)21​k(k−1) loss-pairs, or by using reduced embeddings, following a one vs. average-of-resttextit{one vs. average-of-rest}one vs. average-of-rest strategy. …

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This post is co-written with MagellanTV and Mission Cloud.  Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach. However, …

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