This project implements a scalable serverless API using AWS services to store and retrieve product specifications. The API supports flexible JSON schemas for different product types and provides ...
Abstract: Federated Learning (FL) allows multiple data owners to jointly train machine learning models by sharing local models instead of raw private data, alleviating data privacy concerns. However, ...
In this tutorial, we explore how to integrate Microsoft AutoGen with Google’s free Gemini API using LiteLLM, enabling us to build a powerful, multi-agent conversational AI framework that runs ...
Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from customer service chatbots to advanced content generation tools. As these ...
What if building an AI agent wasn’t just about coding, but about crafting a system as intricate and adaptable as the human mind? Imagine an AI assistant that not only remembers your preferences but ...
While Lambda functions can have longer timeout values (up to 15 minutes), API Gateway will terminate the request if it exceeds its integration timeout. The Serverless Framework doesn't natively ...
Abstract: Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases.