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Speedier LLMs through theoretical deciphering and AWS Inferentia2.

AI/ML, Amazon Machine Learning, Artificial Intelligence, AWS Inferentia, Generative AI, Machine learning, Technical How-to, UncategorizedAugust 6, 202436Views0Likes0Comments
Large language models (LLMs), used to solve natural language processing (NLP) tasks, have seen a significant increase in their size. This increase dramatically improves the model's performance, with larger models scoring better on tasks such as reading comprehension. However, these larger models require more computation and are more costly to deploy. The role of larger models…

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AI chips provided by AWS ensure efficient performance and affordability for the Llama 3.1 models hosted on AWS.

Announcements, Artificial Intelligence, AWS Inferentia, AWS Trainium, UncategorizedJuly 24, 202434Views0Likes0Comments
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…

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Monitor and simplify Machine Learning workload tracking on Amazon EKS via AWS Neuron Monitor container for better scaling.

Amazon Elastic Container Registry, Amazon Elastic Kubernetes Service, Announcements, Artificial Intelligence, AWS Inferentia, AWS Neuron, AWS Trainium, Compute, UncategorizedJune 26, 202439Views0Likes0Comments
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…

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AWS Inferentia and AWS Trainium provide the most economical solution for deploying Llama 3 models via Amazon SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, AWS Inferentia, AWS Trainium, UncategorizedMay 3, 202440Views0Likes0Comments
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…

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Observability of AWS Inferentia nodes in Amazon EKS clusters available through open source.

Amazon CloudWatch, Amazon Elastic Kubernetes Service, Amazon Managed Grafana, Amazon Managed Service for Prometheus, AWS Inferentia, AWS Neuron, AWS Trainium, AWS X-Ray, UncategorizedApril 18, 202437Views0Likes0Comments
The growth and advancements in machine learning (ML) models have led to huge models that require a significant amount of computational resources for training and inferencing. Consequently, monitoring or observing these models and their performance is crucial for fine tuning and cost optimization. AWS has developed a solution to this using some of its tools…

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Gradient simplifies and makes LLM benchmarking more affordable by utilizing AWS Inferentia.

Advanced (300), AWS Inferentia, Generative AI, UncategorizedApril 3, 202438Views0Likes0Comments
Measurement of large language models' (LLMs) performance is a crucial component of the fine-tuning and pre-training stages in the process prior to deployment. Frequent and rapid validation of their performance enhances the likelihood of improving the language model's performance. In partnership with Gradient, a service involved with the development of personalized LLMs, the challenge of…

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A tour across North America showcasing Generative AI by AWS and Hugging Face.

Amazon SageMaker, AWS Inferentia, Events, Generative AI, UncategorizedApril 3, 202438Views0Likes0Comments
In 2023, Amazon Web Services (AWS) announced an expanded collaboration with Hugging Face, a leading artificial intelligence (AI) platform, to help customers accelerate their journey in generative artificial intelligence. Hugging Face, established in 2016, provides more than 500,000 open-source models and over 100,000 datasets. AWS and Hugging Face have been working together to simplify the…

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