AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration
TutoSartup excerpt from this article:
To power so many diverse applications, we recognized the need for model diversity and choice for generative AI early on... We know that different models excel in different areas, each with unique strengths tailored to specific use cases, leading us to provide customers with access to multiple state-of-the-art large language models (LLMs) and foundation models (FMs) through a unified service: Ama...
To power so many diverse applications, we recognized the need for model diversity and choice for generative AI early on... We know that different models excel in different areas, each with unique strengths tailored to specific use cases, leading us to provide customers with access to multiple state-of-the-art large language models (LLMs) and foundation models (FMs) through a unified service: Ama...
Introducing AWS Deadline Cloud: Set up a cloud-based render farm in minutes
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As a result, customers increasingly are transitioning to scalable, cloud-based render farms for efficient production instead of a dedicated render farm on-premises, which can require extremely high fixed costs... But, rendering in the cloud still requires customers to manage their own infrastructure, build bespoke tooling to manage costs on a project-by-project basis, and monitor software licens...
As a result, customers increasingly are transitioning to scalable, cloud-based render farms for efficient production instead of a dedicated render farm on-premises, which can require extremely high fixed costs... But, rendering in the cloud still requires customers to manage their own infrastructure, build bespoke tooling to manage costs on a project-by-project basis, and monitor software licens...
Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution
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With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business... FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images... As more companies train unique models or fine tune FMs,...
With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business... FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images... As more companies train unique models or fine tune FMs,...
Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia
TutoSartup excerpt from this article:
Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment... The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model... As part of this process, we regularly evaluate the performance of our models (tuned, trained, and open...
Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment... The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model... As part of this process, we regularly evaluate the performance of our models (tuned, trained, and open...
Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2
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Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code... It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for generative AI, SageMaker Canvas can help you ach...
Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code... It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for generative AI, SageMaker Canvas can help you ach...
Cloud Cultures, Part 5: Embracing innovation and preserving a vibrant identity in Mexico
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Innovate, Connect, Cultivate The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe... Now, I start my next adventure in Mexico, a leading country in cloud adoption in Latin America...Libertad Soluciones de Vida has been operating since 1960, but it was in 2018 that they decided to accelerate their digital transformati...
Innovate, Connect, Cultivate The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe... Now, I start my next adventure in Mexico, a leading country in cloud adoption in Latin America...Libertad Soluciones de Vida has been operating since 1960, but it was in 2018 that they decided to accelerate their digital transformati...
Solar models from Upstage are now available in Amazon SageMaker JumpStart
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Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart... Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its compact size and powerful track records to specialize in purpose-training, making it versatile across languages, domains, and tasks... ...
Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart... Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its compact size and powerful track records to specialize in purpose-training, making it versatile across languages, domains, and tasks... ...