Description:

As Andrew Ng stated, "AI agentic workflows will drive massive AI progress this year," this talk would take a deep dive into the different ways to build GenAI apps and the advantages of an Agentic Workflow over others. The agentic approach enables the creation of multiple agents, each focused on specific tasks. With the use of tools, these agents can perform tasks ranging from web search to code execution. Presenting Lyzr SDKs, a low-code agent framework with fully integrated agents that come with pre-built RAG pipelines, allowing one to build and launch in minutes. Furthermore, with Multi-Agent collaboration using Lyzr-Automata, more than one AI Agent can work together, split up tasks, and come up with better solutions more efficiently.

Flow:

• API approach
• Open Source approach
• Lyzr SDKs
• Multi-Agent Workflow using Lyzr-Automata

Prerequisites:

1. Used ChatGPT before
   2. Python basics

Content URLs:

1. https://github.com/LyzrCore/lyzr
   2. https://github.com/LyzrCore/lyzr-automata
   3. https://www.youtube.com/watch?v=6qpU4qu3Kpk

Speaker Info:

Rasswanth Shankar - Member of Technical Staff at Lyzr.ai.

I have 1+ year of experience with building scalable backend systems and am currently building Agentic GenAI Workflows. I have strong fundamentals in languages such as Python and C++. I'm experienced with multiple technologies such as FastAPI, Flask, TensorFlow, OpenCV, Redis, Celery and both SQL and No-Code databases.

Speaker Links:

Linkedin

Medium