#aws-bedrock
#aws-bedrock

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#ai #rate-limiting #docker #litellm #help-me-decide #ai-recommendations #shopping-personalization #generative-ai

Not sure what to buy? Amazon's latest shopping tool can help you decide - here's how it works

Amazon has announced a new tool called "Help Me Decide" that assists you in finding the perfect product for your needs. Also: Your Amazon deliveries got 3 major upgrades. Here's what's new (and why you'll want to try it) As the company explains, the feature uses AI (large language models and AWS services like Amazon Bedrock, Amazon OpenSearch, and Amazon SageMaker) to analyze product details and customer reviews and then accounts for your previous purchases and personal preferences to make a recommendation specific to you.

E-Commerce

Artificial intelligence

AWS Bedrock: Unlock the Future of Cloud Computing

AWS Bedrock simplifies enterprise access to multiple foundation models, streamlines generative AI application development, and provides secure, scalable cloud-based model integration.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Implementing a LiteLLM proxy server helps manage request rates to prevent exceeding rate limits.

Using Docker for LiteLLM proxy setup can enhance AI agent performance.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Implementing a rate limiting strategy for AI agents can prevent the 409 error response from service providers like AWS Bedrock.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

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