Janakiram MSV

To help developers understand and use AI agents, we map it out based on the premise that agents are like the digital twins of employees.

We explore the hardware, software architecture, and integration features of SenseCAP Watcher, highlighting its use cases for AI developers.

In this AI agents tutorial, we use Semantic Router to choose the best way to retrieve information from an OpenAI LLM and other AI tools.

Nvidia NIM offers a robust language model, while LangChain provides a flexible framework for interactions with external data and tools.

With its integrated environment and versatile features, Cursor AI is setting a new standard for AI-driven coding assistance.

A tutorial on how to use NIM APIs to build a simple RAG application, using Zilliz, a version of the popular Milvus vector database.

By offering a flexible suite of microservices, Nvidia NIM provides a robust, scalable and secure platform for AI inference.

GitHub Models makes it easy for developers to play with the latest generative AI models. We got access to the beta and here is our review.

A tutorial on implementing a federated LLM approach, where an agent sends data to a cloud-based LLM, which then outputs functions and arguments.

Use these guidelines to build robust, reliable generative AI applications that meet a high bar for performance, security and ethical standards.