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Large Action Models: Beyond Language, Into Action

Viso.ai

Large Action Models (LAMs) are deep learning models that aim to understand instructions and execute complex tasks and actions accordingly. LAMs also combine language understanding with reasoning and software agents. LAMs represent a significant leap beyond text generation and understanding.

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Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Mlearning.ai

Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., to boost the usages of the deep neural networks in our lives. You can easily tailor the pipeline for deploying your deep learning models on mobile devices.

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Start Up Your Engines: NVIDIA and Google Cloud Collaborate to Accelerate AI Development

NVIDIA

Google for Startups Cloud Program members can join NVIDIA Inception and gain access to technological expertise, NVIDIA Deep Learning Institute course credits, NVIDIA hardware and software, and more.

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TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

NVIDIA

This is the kind of horsepower needed to handle AI-assisted digital content creation, AI super resolution in PC gaming, generating images from text or video, querying local large language models (LLMs) and more. LLM performance is measured in the number of tokens generated by the model. Tokens are the output of the LLM.

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Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

The fine-tuning process starts with preparing the images, including face cropping, background variation, and resizing for the model. Then we use Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning technique for large language models (LLMs), to fine-tune the model. amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117"