Favorite At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). In a previous post, we described how Knowledge Bases
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Shared by AWS Machine Learning March 1, 2024
Favorite AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include
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Shared by AWS Machine Learning February 29, 2024
Favorite This guest post is written by Vihan Lakshman, Tharun Medini, and Anshumali Shrivastava from ThirdAI. Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. Although this stunning progress in artificial intelligence remains remarkable, the financial costs and energy consumption required to train these models
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Shared by AWS Machine Learning February 29, 2024
Favorite Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we present a framework for automating the creation of a directed acyclic graph (DAG) for Amazon SageMaker Pipelines based on simple configuration files. The framework code
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Shared by AWS Machine Learning February 29, 2024
Favorite OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 license. Amazon OpenSearch Service is a fully managed service that makes it straightforward to deploy, scale, and operate OpenSearch in the AWS Cloud. OpenSearch uses
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Shared by AWS Machine Learning February 29, 2024
Favorite Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more. Knowledge Bases for Amazon Bedrock
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Shared by AWS Machine Learning February 29, 2024
Favorite Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. The
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Shared by AWS Machine Learning February 28, 2024
Favorite The recent US Executive Order on AI directs action for numerous federal agencies. This includes directing the National Telecommunications and Information Agency (NTIA*) to discuss benefits, risks and policy choices associated with dual-use foundation models, which are powerful models that can be fine-tuned and used for multiple purposes, with
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Shared by voicesofopensource February 28, 2024
Favorite This is a guest post written by Axfood AB. In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Axfood
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Shared by AWS Machine Learning February 27, 2024
Favorite There is a debate within the AI community around the risks of widely releasing foundation models with their weights and the societal impact of that decision. Some are arguing that the wide availability of Llama2 or Stable Diffusion XL are a net negative for society. A position paper released
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Shared by voicesofopensource February 27, 2024