NEWSLETTER
Scale AI and Meta present Defense Llama: the LLM designed specifically for US national security
The quest to strengthen national security has faced several challenges over the years, especially as the pace of technological advancement ...
Tag: LLaMa
On Device Llama 3.1 with Core ML
Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these ...
Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines
You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative ai models with the ...
Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker
This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step ...
Casos de uso de Vision con los modelos Llama 3.2 11B y 90B de Meta
Hoy nos complace anunciar la disponibilidad de Llama 3.2 en amazon SageMaker JumpStart y amazon Bedrock. Los modelos Llama 3.2 ...
Los modelos Llama 3.2 de Meta ya están disponibles en Amazon SageMaker JumpStart
Hoy nos complace anunciar la disponibilidad de los modelos Llama 3.2 en amazon SageMaker JumpStart. Llama 3.2 ofrece visión multimodal ...
Llama 3.2 de Meta, Gemini 1.5 de Google y más
Introducción La semana pasada, la inteligencia artificial (IA) siguió evolucionando a un ritmo rápido, con importantes actualizaciones de actores clave ...
Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker
This post is co-written with Meta’s PyTorch team. In today’s rapidly evolving ai landscape, businesses are constantly seeking ways to ...
Best prompting practices for using Meta Llama 3 with Amazon SageMaker JumpStart
Llama 3, Meta’s latest large language model (LLM), has taken the artificial intelligence (ai) world by storm with its impressive ...
Align Meta Llama 3 to human preferences with DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth
Large language models (LLMs) have remarkable capabilities. Nevertheless, using them in customer-facing applications often requires tailoring their responses to align ...
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