In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I had never considered myself a developer. …
Racing into the future: How AWS DeepRacer fueled my AI and ML journey Read More »
The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences …
Your guide to generative AI and ML at AWS re:Invent 2024 Read More »
In the rapidly evolving world of AI, the ability to customize language models for specific industries has become more important. Although large language models (LLMs) are adept at handling a wide range of tasks with natural language, they excel at general purpose tasks as compared with specialized tasks. This can create challenges when processing text …
Customize small language models on AWS with automotive terminology Read More »
In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, …
According to the National Cancer Institute, a cancer biomarker is a “biological molecule found in blood, other body fluids, or tissues that is a sign of a normal or abnormal process, or of a condition or disease such as cancer.” Biomarkers typically differentiate an affected patient from a person without the disease. Well-known cancer biomarkers …
Accelerate analysis and discovery of cancer biomarkers with Amazon Bedrock Agents Read More »
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As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. This is where the concept of guardrails comes into play, providing a comprehensive framework …
Automate building guardrails for Amazon Bedrock using test-driven development Read More »
Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. With support for binary embedding in Amazon Bedrock and a binary vector store in OpenSearch Serverless, you can use binary embeddings and binary vector store to build Retrieval Augmented …
Cloud technologies are progressing at a rapid pace. Businesses are adopting new innovations and technologies to create cutting-edge solutions for their customers. However, security is a big risk when adopting the latest technologies. Enterprises often rely on reactive security monitoring and notification techniques, but those techniques might not be sufficient to safeguard your enterprises from …
Automate cloud security vulnerability assessment and alerting using Amazon Bedrock Read More »
This post is co-written with Kaustubh Kambli from DXC Technology. DXC Technology is an IT services leader with more than 130,000 employees supporting 6,000 customers in over 70 countries. DXC builds offerings across industry verticals to deliver accelerated value to their customers. One of the sectors DXC has deep expertise in is energy. The oil …
DXC transforms data exploration for their oil and gas customers with LLM-powered tools Read More »
