Building Semantic Search with Amazon S3 Vectors and Semantic Kernel
A guide to implementing semantic search for static websites using Amazon S3 Vector Buckets and Microsoft's Semantic Kernel for embedding generation.
A guide to implementing semantic search for static websites using Amazon S3 Vector Buckets and Microsoft's Semantic Kernel for embedding generation.
Explores three methods to automate security questionnaire responses using LLMs, from SaaS vendors to custom RAG systems and direct ChatGPT/Claude use.
A recap of AWS re:Invent 2024 Day 3, covering sessions on advanced DynamoDB data modeling and key AI/Data announcements from Amazon Bedrock.
A developer explores various AI tools, including Amazon Bedrock and SageMaker, to enhance and generate a new profile picture.
A developer shares their experience taking the AWS Certified AI Practitioner beta exam, covering study methods, key topics, and exam structure.
A recap of key announcements from the second half of AWS re:Invent 2023, focusing on new AI/ML services and management tools.
An evaluation of Amazon Titan Embeddings on the MTEB benchmark, analyzing its performance, use cases, and lack of transparency.