Today AWS announced Trainium and Inferentia support for the Llama 3.1 models' fine-tuning and inference. The Llama 3.1 is a collection of large language models (LLMs) available in three sizes: 8B, 70B, and 405B and supports a range of capabilities such as search, image generation, code execution, and mathematical reasoning. Notably, the Llama 3.1 405B…
Ninjatech AI recently unveiled the world's first multi-agent personal artificial intelligence (AI) system – MyNinja.ai – with the aim to tackle time-consuming tasks to increase productivity. The AI is designed to competently handle a variety of tasks independently, such as scheduling meetings, conducting online deep research, writing assistance, and generating code. This is achieved using…
Amazon Web Services (AWS) has launched the AWS Neuron Monitor container, a tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS). This solution simplifies the integration of monitoring tools such as Prometheus and Grafana, allowing management of machine learning (ML) workflows with AWS…
Enhance deep learning training speeds and streamline orchestration using AWS Trainium and AWS Batch.
Managing resources and workflows for large language model (LLM) training can be a significant challenge. Automating tasks such as resource provisioning, scaling, and workflow management is vital for optimizing resource usage and streamlining complex workflows.
Combining AWS's machine learning acceleration tool Trainium with AWS Batch can simplify these processes. Trainium provides massive scalability and cost-effective access…
Meta Llama 3 inference is now available on Amazon Web Services (AWS) Trainium and AWS Inferentia-based instances in Amazon SageMaker JumpStart. Meta Llama 3 models are pre-trained generative text models that can be used for a range of applications, including chatbots and AI assistants. AWS Inferentia and Trainium, used with Amazon EC2 instances, provide a…
Arcee, an artificial intelligence (AI) company, has made strides in optimizing the training of Large Language Models (LLMs) using continual pre-training (CPT) and model merging strategies. Its advancements are particularly significant in niche fields like medicine, law, and finance. The process was expedited by its partnership with AWS Trainium, a cloud platform that provides affordable…
Large Language Models (LLMs) have garnered attention recently due to their potential for enhancing a range of industries. At Arcee, the focus is on improving the domain adaptation of LLMs tailored to their client's needs. Arcee has introduced novel techniques for continual pre-training (CPT) and model merging, significantly advancing LLM training efficiency. These strategies have…
