Every day we see new and amazing things unfolding for individuals and businesses because of generative AI. Imagination is unlocked for content creators, time is saved on routine tasks, and the customer service experience is forever changed. The excitement is palpable but one thing that can temper all that excitement? A data strategy that doesn’t …
This post is co-written with Sherwin Chu from Alida. Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to …
Alida gains deeper understanding of customer feedback with Amazon Bedrock Read More »
As businesses increasingly migrate their operations to the cloud, the need for comprehensive assessments of IT environments is imperative. These assessments not only aid in understanding the existing infrastructure but also play a pivotal role in formulating strategic decisions that align with organizational goals. However, navigating the intricacies of an IT environment and determining the …
Navigate a seamless cloud modernization with Microsoft assessment tools Read More »
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. Looking back to 2021, when Anthropic first started …
Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together Read More »
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 for Amazon Bedrock manages the end-to-end …
Knowledge Bases for Amazon Bedrock now supports hybrid search Read More »
The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Self-service bots integrated with your call center can help …
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 allows you to build performant and …
Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock Read More »
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 a probabilistic ranking framework called BM-25 …
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 and examples presented here only cover …
Automate Amazon SageMaker Pipelines DAG creation Read More »
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 has emerged as a critical bottleneck …
Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton Read More »
