Nomadcoder

Thank you, everyone, for being a part of the 7th edition of India’s largest #Angular conference - #ngIndia 🌞

Thank you 500 developers and all speakers 🙏

Recap Video - youtube.com/watch?v=dLjixQ…

#Conference Photos - photos.app.goo.gl/WfWXVR2P9CxK4L…

Website - ng-ind.com❤️

Our brand-new AI-India T-shirt is here! 🎉

As voted by all of you, GREY it is! ❤️

You'll get yours at AI-India Pune on 21st November and again at our Main Conference in May 2027.

Don't miss the Pune edition. Come join us! 🚀

Details - ai-india.ai/home

#AIIndia

The final agenda for AI-India's 2nd edition has been announced 🤩

📆 21 November, 2026

📍 Pune, India

🎟️ 2000 INR

The agenda includes 9 in-depth talks for AI Engineers, plus a mini-workshop on LangGraph! 👍

👉 Self-Improving Agent Architecture by Priyanka Kore

👉 We Can't Improve What We Can't Measure: Evals, Harnesses, and Silent Failure in Production Agents by Jeevan D C

👉 Your evals are lying to you by Varun Srinivas 👨‍💻
👉 Building a Complete Local AI Ecosystem by shivprasad Koirala
👉 Running Offline AI on Mobile Devices by Infant Mystica

👉 A brief intro to Inference Engineering for Software Engineers by Chinmay Naik

👉 Engineering a Model Router for Cost, Latency & Quality by Sunny Sharma

👉 MCP at Scale: Going Serverless by Sumit Parakh

👉 A Guardrail Blueprint for Production AI Agents by Laxminarayan Chandrashekar

👉 Creating AI Agents Using LangGraph and TypeScript- workshop by Dhananjay Kumar

Join us to become an AI-ready developer!

More details - ai-india.ai/home

#AIIndia #nomadcoder #aiconference

What is Local LLM ?

A Local LLM (Local Large Language Model) is an AI model that runs directly on your computer, server, or private infrastructure instead of sending requests to a cloud-based AI provider like OpenAI or Anthropic.

👉 Runs Locally: You can run models such as Llama, Qwen, and Gemma on your own machine or server.

👉 Data Privacy: Your prompts and data can remain within your local environment without being sent to an external AI provider.

👉 No Per-Request API Cost: You don't pay an external provider for every API call, although hardware, electricity and infrastructure still cost money.

👉 Offline Capability: Once downloaded, a local model can run without an internet connection, depending on its setup and requirements.

👉 Full Control: You control the model, configuration, inference settings, fine-tuning and deployment environment.

In which use cases, you would prefer Local LLM ? To understand it better , we are hosting a Free webinar on Local LLM today at 4 PM.

Title - Local AI Models: Practical Use Cases
Trainer - @rainerhahnekamp
Date - 2 November, 4 PM IST

Join for free and learn about Local LLM.

Register here - nomadcoder.ai/event/16
#llm #nomadcoder

Start your November with AI learning! 🚀 Join our FREE webinar on :

👉 Local AI Models: Practical Use Cases

Trainer - @rainerhahnekamp

📅 2 November
⏰ 4 PM IST
🎟️ Only 50 seats

Learn how local AI models can be used to solve real-world problems.

Register - nomadcoder.ai/event/16

#nomadcoderai #localllm #llm #AI