IBM Journey to AI blog

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

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Unite.AI

MAY 28, 2024

This has led to substantial environmental implications for training and using AI models. OpenAI researchers note that : since 2012, the computing power required to train advanced AI models has doubled every 3.4 Trainium is specifically designed to enhance AI model training and is set to be incorporated into EC2 UltraClusters.

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Unite.AI

JULY 26, 2024

AI's applications are vast and transformative, from virtual assistants that help us manage our schedules to advanced algorithms that predict market trends and diagnose diseases. Training complex AI models, particularly deep learning models, requires significant computational power.

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Chatbots Life

APRIL 19, 2024

Transformer-based models, such as GPT, specialize in generating text. It relies on machine learning algorithms. ML allows the processing of large volumes of data, often collected from the internet. GANs excel in creating visual and multimedia data. They can understand the context from internet data.

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