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AWS
- Melbourne Australia
- https://www.linkedin.com/in/frankyitan/
- @frankyitan
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The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI…
Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure.
Get your documents ready for gen AI
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools lik…
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
Try Artifacts and Code Interpreter Tool with Amazon Bedrock.
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Context is Key: Combining Embedding-based Retrieval with LLMs for Comprehensive Knowledge Enrichment
sunbc0120 / sagemaker-jumpstart-generative-ai-examples
Forked from joaopcm1996/sagemaker-jumpstart-generative-ai-examplesUnlocking Creativity: Generative AI with SageMaker Jumpstart
Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
Enterprise-grade, production-hardened, serverless data lake on AWS
Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference