Artifacts and Tools for Amazon Bedrock
https://github.com/aws-samples/artifacts-and-tools-for-bedrock
✅ Code Interpreter
✅ Web Search
SQL Client 👉 Coming soon
P.S. Автор — Сергей Пугачёв, AWS.
#Bedrock
https://github.com/aws-samples/artifacts-and-tools-for-bedrock
✅ Code Interpreter
✅ Web Search
SQL Client 👉 Coming soon
P.S. Автор — Сергей Пугачёв, AWS.
#Bedrock
GitHub
GitHub - aws-samples/artifacts-and-tools-for-bedrock: Try Artifacts and Code Interpreter Tool with Amazon Bedrock.
Try Artifacts and Code Interpreter Tool with Amazon Bedrock. - aws-samples/artifacts-and-tools-for-bedrock
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GitHub Copilot -> Amazon Bedrock -> Claude 3.5 Sonnet
Anthropic Claude предоставляет свой сервис для GitHub Copilot через Amazon Bedrock:
🔹https://docs.github.com/en/copilot/using-github-copilot/using-claude-sonnet-in-github-copilot
Это жжж неспроста. Ждём на re:Invent 2024 (кстати, регистрируйтесь!) новостей по этому поводу.
#Bedrock #Anthropic #GitHubCopilot
Anthropic Claude предоставляет свой сервис для GitHub Copilot через Amazon Bedrock:
Claude 3.5 Sonnet runs on GitHub Copilot via Amazon Bedrock, leveraging Bedrock’s cross-region inference to further enhance reliability.
🔹https://docs.github.com/en/copilot/using-github-copilot/using-claude-sonnet-in-github-copilot
Это жжж неспроста. Ждём на re:Invent 2024 (кстати, регистрируйтесь!) новостей по этому поводу.
#Bedrock #Anthropic #GitHubCopilot
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SwiftChat — референс-проект от AWS для создания AI-чата:
https://github.com/aws-samples/swift-chat
React + Bedrock, поддержка Ollama, DeepSeek, OpenAI, Nova.
#Bedrock
https://github.com/aws-samples/swift-chat
React + Bedrock, поддержка Ollama, DeepSeek, OpenAI, Nova.
#Bedrock
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DeepSeek-R1-Distill-Llama + Bedrock:
https://github.com/aws-samples/amazon-bedrock-samples/blob/main/custom-models/import_models/llama-3/DeepSeek-R1-Distill-Llama-Noteb.ipynb
#Bedrock
https://github.com/aws-samples/amazon-bedrock-samples/blob/main/custom-models/import_models/llama-3/DeepSeek-R1-Distill-Llama-Noteb.ipynb
#Bedrock
GitHub
amazon-bedrock-samples/custom-models/import_models/llama-3/DeepSeek-R1-Distill-Llama-Noteb.ipynb at main · aws-samples/amazon-bedrock…
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models - aws-samples/amazon-bedrock-samples
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Знаю, что устали, но нужно ж закрыть гештальт:
https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/
#Bedrock #Sagemaker #DeepSeek
https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/
#Bedrock #Sagemaker #DeepSeek
Amazon
DeepSeek-R1 models now available on AWS | Amazon Web Services
DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications…
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Preventing Data Leaks in RAG Pipelines with Bedrock
🔹 Securing the RAG Ingestion Pipeline
https://aws.amazon.com/blogs/security/securing-the-rag-ingestion-pipeline-filtering-mechanisms/
🔹 Hardening the RAG Chatbot Architecture
https://aws.amazon.com/blogs/security/hardening-the-rag-chatbot-architecture-powered-by-amazon-bedrock-blueprint-for-secure-design-and-anti-pattern-migration/
🔹 Building Secure and Scalable RAG Applications with Bedrock
https://aws.amazon.com/blogs/machine-learning/building-scalable-secure-and-reliable-rag-applications-using-amazon-bedrock-knowledge-bases/
#Bedrock #security
🔹 Securing the RAG Ingestion Pipeline
https://aws.amazon.com/blogs/security/securing-the-rag-ingestion-pipeline-filtering-mechanisms/
🔹 Hardening the RAG Chatbot Architecture
https://aws.amazon.com/blogs/security/hardening-the-rag-chatbot-architecture-powered-by-amazon-bedrock-blueprint-for-secure-design-and-anti-pattern-migration/
🔹 Building Secure and Scalable RAG Applications with Bedrock
https://aws.amazon.com/blogs/machine-learning/building-scalable-secure-and-reliable-rag-applications-using-amazon-bedrock-knowledge-bases/
#Bedrock #security
Amazon
Securing the RAG ingestion pipeline: Filtering mechanisms | Amazon Web Services
Retrieval-Augmented Generative (RAG) applications enhance the responses retrieved from large language models (LLMs) by integrating external data such as downloaded files, web scrapings, and user-contributed data pools. This integration improves the models’…
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New Alexa+ = Bedrock + Amazon Nova & Claude
https://www.aboutamazon.com/news/devices/new-alexa-tech-generative-artificial-intelligence
#Alexa #Bedrock
https://www.aboutamazon.com/news/devices/new-alexa-tech-generative-artificial-intelligence
#Alexa #Bedrock
Aboutamazon
How Amazon rebuilt Alexa with generative AI
Inventing Alexa+ required a series of technical breakthroughs, from getting LLMs to orchestrate APIs reliably to creating all-new agentic capabilities.
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MCP with Bedrock:
- Allows AI models to access information outside their built-in knowledge.
- Help build tools that enable AI models to perform actions (such as visiting websites or checking the weather).
- Establish communication through a standardized protocol between the user, the AI model and external tools.
https://community.aws/content/2uFvyCPQt7KcMxD9ldsJyjZM1Wp/model-context-protocol-mcp-and-amazon-bedrock
For example, if you ask "get me a summary of the blog post at this URL", the system will:
- Process your request
- Recognize it needs to use a tool to visit the webpage
- Fetch the content from the URL
- Return the information to the model
- Generate a summary based on the fetched content
#MCP #Bedrock
- Allows AI models to access information outside their built-in knowledge.
- Help build tools that enable AI models to perform actions (such as visiting websites or checking the weather).
- Establish communication through a standardized protocol between the user, the AI model and external tools.
https://community.aws/content/2uFvyCPQt7KcMxD9ldsJyjZM1Wp/model-context-protocol-mcp-and-amazon-bedrock
For example, if you ask "get me a summary of the blog post at this URL", the system will:
- Process your request
- Recognize it needs to use a tool to visit the webpage
- Fetch the content from the URL
- Return the information to the model
- Generate a summary based on the fetched content
#MCP #Bedrock
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DevGenius - AWS Solution Generator:
https://github.com/aws-samples/sample-devgenius-aws-solution-builder
Features:
- IaC (AWS CDK, CloudFormation)
- architecture diagram (draw-io format)
- cost estimation
- technical documentation
- existing architecture analysis (you can upload and analyze current architecture diagrams, including handwritten ones)
DevGenius architecture: Bedrock, OpenSearch Serverless, S3, DynamoDB, Fargate, CloudFront, ALB, Cognito
Deployment with AWS CDK create stacks:
- VPC with public/private subnets
- ECS Fargate service with Streamlit container
- Application Load Balancer
- CloudFront distribution with Lambda@Edge for authentication
- Cognito user pool and identity pool
- DynamoDB tables for conversation tracking
- S3 bucket for storing generated assets
- Bedrock Agent with Knowledge Base for AWS documentation sources
- OpenSearch Serverless collection for vector embeddings
#Bedrock
https://github.com/aws-samples/sample-devgenius-aws-solution-builder
Features:
- IaC (AWS CDK, CloudFormation)
- architecture diagram (draw-io format)
- cost estimation
- technical documentation
- existing architecture analysis (you can upload and analyze current architecture diagrams, including handwritten ones)
DevGenius architecture: Bedrock, OpenSearch Serverless, S3, DynamoDB, Fargate, CloudFront, ALB, Cognito
Deployment with AWS CDK create stacks:
- VPC with public/private subnets
- ECS Fargate service with Streamlit container
- Application Load Balancer
- CloudFront distribution with Lambda@Edge for authentication
- Cognito user pool and identity pool
- DynamoDB tables for conversation tracking
- S3 bucket for storing generated assets
- Bedrock Agent with Knowledge Base for AWS documentation sources
- OpenSearch Serverless collection for vector embeddings
#Bedrock
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K8sGPT + EKS
https://aws.amazon.com/blogs/machine-learning/use-k8sgpt-and-amazon-bedrock-for-simplified-kubernetes-cluster-maintenance/
#EKS #Bedrock #AI
https://aws.amazon.com/blogs/machine-learning/use-k8sgpt-and-amazon-bedrock-for-simplified-kubernetes-cluster-maintenance/
#EKS #Bedrock #AI
Amazon
Use K8sGPT and Amazon Bedrock for simplified Kubernetes cluster maintenance | Amazon Web Services
This post demonstrates the best practices to run K8sGPT in AWS with Amazon Bedrock in two modes: K8sGPT CLI and K8sGPT Operator. It showcases how the solution can help SREs simplify Kubernetes cluster management through continuous monitoring and operational…
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OpenAI, да ещё и Open-Source, на AWS 🎉
https://aws.amazon.com/blogs/aws/openai-open-weight-models-now-available-on-aws/
#Bedrock
https://aws.amazon.com/blogs/aws/openai-open-weight-models-now-available-on-aws/
#Bedrock
Amazon
OpenAI open weight models now available on AWS | Amazon Web Services
AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more…
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