Scalability
Amazon Bedrock provides a scalable infrastructure, allowing businesses to easily adjust their resources based on demand without the need for significant upfront investments.
Integration
Seamless integration with other AWS services allows for enhanced functionality and easy data management within the existing AWS ecosystem.
Security
Built on AWS's secure framework, Bedrock offers robust security features, including data encryption and compliance with international standards.
Reliability
With Amazon's proven track record of maintaining reliable services, Bedrock promises high availability and fault tolerance for its users.
Flexibility
The service supports a variety of machine learning frameworks and tools, enabling users to choose the best options for their specific needs.
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Large language models (LLMs) are great, but sometimes they need a little help finding the right answer. Enter retrieval-augmented generation (RAG) systems and knowledge graphs. Today, I’m sharing how I used LightRAG with Amazon Bedrock and Ollama to build a knowledge graph from congressional records. - Source: dev.to / 3 days ago
AWS Bedrock provides a single API to access various pretrained models from different providers. - Source: dev.to / 26 days ago
TL;DR: PartyRock is Amazon Bedrock's playground where anyone can create generative AI-powered applications simply by describing the app they want to build, without needing to write any code. - Source: dev.to / about 1 month ago
Next, we need to grant access to Amazon Bedrock—a service that provides fully managed generative AI foundational models. We will be utilizing these connections for our LLM use case. How to grant access includes. - Source: dev.to / about 1 month ago
ExtractDataFunction:uses Langchain and LangSmith to validate and extract structured JSON info through Bedrock and Sonnet 3.5 v2 and then store it in DynamoDB for later use. - Source: dev.to / about 2 months ago
Support for Multiple LLM Providers: It includes OpenAI, Amazon Bedrock and Ollama. - Source: dev.to / 3 months ago
Having refined our prompts in PartyRock, we're now experimenting with integrating Amazon Bedrock into some of our tools and processes. We're a bunch of software engineers and use some open-source tools, so extending things with new functionality isn't a big step. - Source: dev.to / about 2 months ago
PartyRock is an Amazon playground for building AI-generated apps. It's powered by Amazon Bedrock, so it has powerful generative AI foundation models, but it also uses GenAI to help you create your app without any heavy lifting. Geat started by heading to https://partyrock.aws/. - Source: dev.to / 4 months ago
In the rapidly evolving field of Generative AI, the ability to fine-tune and deploy custom models is a crucial skill that enables businesses to tailor solutions to their unique needs. Amazon Bedrock, a powerful service within the Amazon Web Services (AWS) ecosystem, simplifies this process by offering a robust platform for building, fine-tuning, and deploying large language models (LLMs). Whether you’re looking to... - Source: dev.to / 4 months ago
This post will teach you to create a native iOS app using Amazon Bedrock to build AI-powered chat and image features in Swift. We’ll leverage Serverless resources, including AWS Lambda and API Gateway, for the backend. - Source: dev.to / 5 months ago
In this example, we use Amazon Bedrock to compute semantic embeddings of a simulated LLM’s response and a set of acceptable responses. Then, we use cosine similarity to determine if the LLM’s output is semantically similar enough to any of the acceptable responses. - Source: dev.to / 5 months ago
Sources: 1 https://aws.amazon.com/bedrock/ 2 https://docs.aws.amazon.com/prescriptive-guidance/latest/security-reference-architecture/bedrock-integration.html 3 https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html. - Source: dev.to / 6 months ago
In this blog post, I'm going to show you how to integrate fetching real-time data from a weather API so you can interact with real-time data using natural language. We'll implement this in Python and using Amazon Bedrock's Converse API, we'll define a tool for our AI to use when requested. This creates a seamless interaction between AI and a custom function, allowing us to combine the strengths of both. - Source: dev.to / 6 months ago
The examples also show how to use these frameworks with Amazon Bedrock. - Source: dev.to / 6 months ago
I anticipated that the exam would include many questions about generative AI and Amazon Bedrock, and I was correct. Be prepared to understand Bedrock's features and have a solid grasp of general generative AI concepts. - Source: dev.to / 7 months ago
We'll use Amazon Bedrock as a datasource and make a custom query to generate a story using the new Converse API. The Converse API will allow us to handle multi-turn conversations and maintain a conversation history. We'll go a step further, utilizing the systemPrompt feature to provide context, instructions, and guidelines on how it should respond. - Source: dev.to / 7 months ago
What is Amazon Bedrock? https://aws.amazon.com/bedrock/. - Source: dev.to / 8 months ago
Amazon PartyRock is an Amazon Bedrock playground that's easy to use and free. So I decided to build a PartyRock app to predict football results. - Source: dev.to / 8 months ago
Lately I have been experimenting with various large language models on Amazon Bedrock. I have been particularly interested in the latest offering from Anthropic with it's Claude 3 family of models. My idea was to see if I could use Claude to extract a recipe from a web page and return it as a structured JSON object. - Source: dev.to / 8 months ago
Amazon Bedrock - fully managed service for using foundation models from Amazon and third parties. - Source: dev.to / 10 months ago
You can now customize foundation models (FMs) with your own data in Amazon Bedrock to build applications that are specific to your domain, organization, and use case. With custom models, you can create unique user experiences that reflect your company’s style, voice, and services. - Source: dev.to / 10 months ago
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