About us
Local community-ran meetup for developers interested in learning and practicing on AI, Machine Learning, Deep Learning, Data Science, and Cloud topics.
Our goal is to congregate with AI enthusiasts from all over Hyderabad to learn and practice AI tech, through tech talks, workshops, bootcamps, etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, ML, Cloud, Data.
Upcoming events
2
AI Deep Dive with Google (Ep 1)
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
The Google AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.
You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.Tech Talk: Wrangling unstructured data with LLM-driven vector embedding
Speaker: Logan Hennessy (Google)
Abstract: The real world is big, messy, and full of unstructured data. Web pages, notes, and documents rarely fit into the rigid rows of traditional databases, making classic keyword search brittle and frustrating. To build tools that truly understand user intent, we must move past exact phrase matching and leverage semantic retrieval.
This webinar walks through how to build a lightweight search system using vector embeddings. We will focus on the mechanics of embedding and retrieval to turn raw, unstructured text into a highly queryable asset.Walk away with a clear, practical framework for indexing unstructured data.
Venue:
Virtual, join from anywhereMore virtual sessions:
33 attendees
AI Deep Dive (Virtual) - Building Self-Improving Agents
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Join Snowflake to learn how to build self-improving agents
Tech Talk: Your Agent Should Fix Itself: Building Self-Improving Agents
Speaker: Elliot Botwick, Principal AI/ML Architect, Snowflake
Abstract: In this talk, we will share how coding agents help developers build high quality agents faster.
A key insight from building agents in production is that high quality agents operate with their goals, plans and actions aligned. We introduce the Agent Goal-Plan-Action (Agent GPA) framework to capture this insight, which achieved state of the art benchmarks on TRAIL/GAIA with 95% error coverage and 86% error localization.
The Agent GPA framework assesses the full agent's process:- Was the goal achieved efficiently?
- Did the plan make sense?
- Were the right tools used?
- Did the agent follow through?
Without visibility into these steps, teams risk deploying agents that look reliable but create hidden costs in production. Inaccuracies can waste compute, inflate latency and lead to the wrong business decisions, all of which erode trust at scale.
We will show how to use coding agents to automate the process of measuring and improving your agent's GPA by using optimization skills that take advantage of the GPA evaluation framework. By the end, you’ll be able to use coding agents and the GPA framework to identify common agent failures, improve their agent and make it ready for production.Venue:
Virtual, join from anywhereMore virtual sessions:
18 attendees
Past events
210
