Blog_dumb

Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

Large language models (LLMs) are very large deep-learning models that are pre-trained on vast amounts of data. LLMs are incredibly flexible. One model can perform completely different tasks such as answering questions, summarizing documents, translating languages, and completing sentences. LLMs have the potential to revolutionize content creation and the way people use search engines and …

Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark Read More »

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1

The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value. Since the inception of AWS GenAIIC in May 2023, we …

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1 Read More »

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML …

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas Read More »

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. These agentic workflows decompose …

Create a generative AI-based application builder assistant using Amazon Bedrock Agents Read More »

Transitioning from Amazon Rekognition people pathing: Exploring other alternatives

Transitioning from Amazon Rekognition people pathing: Exploring other alternatives

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. This capability can be used for multiple use cases, such as for understanding: Retail analytics – Customer flow in the store and identifying high-traffic …

Transitioning from Amazon Rekognition people pathing: Exploring other alternatives Read More »

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger from SnapLogic. The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. SnapLogic, a leader in generative integration and automation, has introduced the industry’s first low-code generative AI development platform, Agent Creator, designed to democratize AI …

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock Read More »

Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks

Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks

This post is co-written with Jerry Henley, Hans Buchheim and Roy Gunter from Classworks. Classworks is an online teacher and student platform that includes academic screening, progress monitoring, and specially designed instruction for reading and math for grades K–12. Classworks’s unique ability to ingest student assessment data from various sources, analyze it, and automatically deliver …

Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks Read More »

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? Generating synthetic data can provide a robust solution, especially when real-world data is scarce or sensitive. For instance, when developing a medical search engine, obtaining a large dataset of real user queries and relevant documents is often infeasible …

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock Read More »

Boost post-call analytics with Amazon Q in QuickSight

Boost post-call analytics with Amazon Q in QuickSight

In today’s customer-centric business world, providing exceptional customer service is crucial for success. Contact centers play a vital role in shaping customer experiences, and analyzing post-call interactions can provide valuable insights to improve agent performance, identify areas for improvement, and enhance overall customer satisfaction. Amazon Web Services (AWS) has AI and generative AI solutions that …

Boost post-call analytics with Amazon Q in QuickSight Read More »

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

This post is co-written with Harrison Chase, Erick Friis and Linda Ye from LangChain. Generative AI is set to revolutionize user experiences over the next few years. A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. In this post, we demonstrate how …

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp Read More »

Scroll to Top