Favorite Fine-tuning large language models (LLMs) allows you to adjust open-source foundational models to achieve improved performance on your domain-specific tasks. In this post, we discuss the advantages of using Amazon SageMaker notebooks to fine-tune state-of-the-art open-source models. We utilize Hugging Face’s parameter-efficient fine-tuning (PEFT) library and quantization techniques through
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Shared by AWS Machine Learning June 30, 2023
Favorite Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on
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Shared by AWS Machine Learning June 30, 2023
Favorite Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use
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Shared by Google AI Technology June 29, 2023
Favorite Posted by Yang Zhao and Tingbo Hou, Software Engineers, Core ML In recent years, diffusion models have shown great success in text-to-image generation, achieving high image quality, improved inference performance, and expanding our creative inspiration. Nevertheless, it is still challenging to efficiently control the generation, especially with conditions that
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Shared by Google AI Technology June 29, 2023
Favorite Currently there is no Open Source common interface for document databases, but FerretDB is driving forward with a goal to change that. The founders of FerretDB, an Open Source document database using PostgreSQL as the database backend, is working with different stakeholders on developing a standard for document databases,
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Shared by voicesofopensource June 29, 2023
Favorite Generative AI technology is improving rapidly, and it’s now possible to generate text and images based on text input. Stable Diffusion is a text-to-image model that empowers you to create photorealistic applications. You can easily generate images from text using Stable Diffusion models through Amazon SageMaker JumpStart. The following
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Shared by AWS Machine Learning June 29, 2023
Favorite Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. Their staff has long used statistical models and regression analyses to make important decisions such as targeting populations with the highest risk factors for a disease with therapeutics, or forecasting the
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Shared by AWS Machine Learning June 29, 2023
Favorite On behalf of the Open Source Initiative and the public policy team, I’m very pleased to share early news of our new educational program – one aimed at building and supporting a coalition of underrepresented voices from public benefit and charitable foundations. This new program – the Open Policy
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Shared by voicesofopensource June 28, 2023
Favorite This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. When machine learning (ML) models are deployed into production and employed to drive business decisions, the challenge often lies in the operation and management of multiple models. Machine Learning Operations (MLOps) provides the technical solution to
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Shared by AWS Machine Learning June 28, 2023
Favorite Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can discover and deploy publicly available and proprietary foundation models to dedicated Amazon SageMaker instances for your generative AI applications. SageMaker JumpStart allows you to deploy foundation models
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Shared by AWS Machine Learning June 28, 2023
Shared by AWS Machine Learning June 30, 2023
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