Sobre la programabilidad de AWS Trainium e Inferentia | de Chaim Rand | noviembre de 2024
Acelerar la capacitación de modelos de IA/ML con operadores personalizados: Parte 412 minutos de lectura·hace 12 horasFoto por Agata Bres ...
Acelerar la capacitación de modelos de IA/ML con operadores personalizados: Parte 412 minutos de lectura·hace 12 horasFoto por Agata Bres ...
El Amazonas Rufus es un amazon.science/blog/the-technology-behind-amazons-genai-powered-shopping-assistant-rufus">Experiencia de asistente de compras impulsada por IA generativa. Genera respuestas utilizando información relevante de ...
amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (ai) technologies by companies and ...
This is a guest post by Arash Sadrieh, Tahir Azim and Tengfui Xue of NinjaTech ai. NinjaTech ai's mission is ...
In training large language models (LLM), effective orchestration and management of computing resources pose a significant challenge. Automating resource provisioning, ...
Starting with the AWS Neuron 2.18 release, you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs ...
Llama is Meta ai’s large language model (LLM), with variants ranging from 7 billion to 70 billion parameters. Llama uses ...
Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (ai). Their impressive generative abilities ...
Today, we are pleased to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia-based instances ...
Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia ...