Gen AI News Talk
Protect sensitive data in RAG applications with Amazon Bedrock
Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based...
Build an AI-powered document processing platform with open source NER model and LLM on...
Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors...
How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and...
This post is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting.
Critical insights and expertise are concentrated among thought leaders and...
Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits
In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing, which provides a single serverless endpoint to efficiently route requests between different...
Accuracy evaluation framework for Amazon Q Business – Part 2
In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business, a fully managed Retrieval Augmented Generation (RAG)...
Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15
Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4 with support for the...
Amazon Bedrock Prompt Optimization Drives LLM Applications Innovation for Yuewen Group
Yuewen Group is a global leader in online literature and IP operations. Through its overseas platform WebNovel, it has attracted about 260 million users...
Build a location-aware agent using Amazon Bedrock Agents and Foursquare APIs
This post is co-written with Vikram Gundeti and Nate Folkert from Foursquare.
Personalization is key to creating memorable experiences. Whether it’s recommending the perfect movie...
Build an automated generative AI solution evaluation pipeline with Amazon Nova
Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models...
Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors
Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI model’s capabilities with information from external data sources, rather than relying solely...
