2040 AI Modeling Large Language Models 
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.
Unite.AI
MAY 28, 2024
Why In-house AI Chip Development? Making AI Computing Energy-efficient and Sustainable The current generation of AI chips, which are designed for heavy computational tasks, tend to consume a lot of power , and generate significant heat. This has led to substantial environmental implications for training and using AI models.
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AWS Machine Learning Blog
APRIL 22, 2024
Set the right data foundations As a CEO aiming to use generative AI to achieve sustainability goals, remember that data is your differentiator. From an operational standpoint, you can embrace foundation model ops (FMOps) and large language model ops (LLMOps) to make sure your sustainability efforts are data-driven and scalable.
Unite.AI
JULY 26, 2024
AI's Power Consumption Trends and Challenges AI's rapid advancement has led to an exponential increase in computational demands. Training complex AI models, particularly deep learning models, requires significant computational power. This process can take weeks and consume enormous amounts of energy.
Chatbots Life
APRIL 19, 2024
Two Generative AI models are generative adversarial networks (GANs) and transformer-based models. Transformer-based models, such as GPT, specialize in generating text. Common Generative AI Tools Within Generative Artificial Intelligence, various powerful tools have emerged with different purposes.
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