DEVLINKHUB PRESENTSEDITION 01REGISTRATIONS CLOSED

BUILD ROOM 01

SMALL LANGUAGE MODELS: BUILD YOUR OWN AI

A hands-on developer workshop where you’ll explore Small Language Models, run AI locally, and build with smaller, more efficient language models.

AI is getting smaller.

Large models changed how we interact with AI. Now, smaller language models are opening another possibility: AI that can run closer to you, on your own machine, with lower resource requirements. In BUILD ROOM 01, we’re going beyond the theory and getting hands-on with Small Language Models (SLMs).

DATE27 SEP 2026
TIME6:00 PM IST
PLATFORMDISCORD LIVE
DIGITAL ENTRY PASS

BUILD ROOM 01

Small Language Models

SESSIONBuild Your Own AI
SPEAKERSaksham Kumar
DATE & TIME27 SEP • 6:00 PM IST
GATEWAYLIVE ON DISCORD
ADMISSIONCLOSED (HOUSEFULL)
// 01 • ABOUT & TOPICHANDS-ON WORKSHOP

WHAT IS BUILD ROOM 01?

BUILD ROOM 01 is a live, hands-on developer workshop by DevLinkHub designed for students, developers, builders, and AI enthusiasts who want to understand modern AI by actually working with it.

This edition focuses on Small Language Models, exploring how smaller models work, how they can be run locally, and how developers can use them to build practical AI applications.

NO ENDLESS SLIDES. NO PASSIVE LEARNING.

LEARN IT. RUN IT. EXPERIMENT WITH IT. BUILD WITH IT.

WHAT YOU'LL EXPLORE IN THIS SESSION

What happens when you take language models out of the cloud and bring them closer to the developer?

What Small Language Models are
How SLMs differ from larger language models
Why smaller models matter
Local AI and model inference
Running language models on your own machine
Prompting and experimenting with SLMs
Model size, latency and resource usage
Building a simple application using an SLM
BOTTOM LINE:Don’t just use AI. Understand what runs behind it.
// 02 • PIPELINE & OUTCOMESPRACTICAL IMPLEMENTATION

FROM MODEL TO WORKING AI

This isn't just a talk about SLMs. During the workshop, participants will work through a practical implementation and explore how a Small Language Model can become part of a real application.

01
MODEL

Understand and run a Small Language Model.

02
EXPERIMENT

Test prompts, outputs and model behaviour.

03
CONNECT

Work with the model through a development environment.

04
BUILD

Turn the model into a practical AI-powered application.

WHAT YOU'LL TAKE AWAY
01
Understand SLMsLearn what Small Language Models are and where they fit into the modern AI ecosystem.
02
Run AI LocallyUnderstand the fundamentals of running language models on your own machine.
03
Work With ModelsExperiment with prompts, inference and model behaviour.
04
Measure PerformanceUnderstand model size, response latency, resource consumption and practical trade-offs.
05
Build With AIUse an SLM as part of a working application instead of treating it as just a chatbot.
Zero fluff. Leave with code running on your machine.
// MEET YOUR SPEAKERCONFIRMED
Saksham Kumar
MICROSOFT CHAMPION

SAKSHAM KUMAR

Microsoft Product Champion

Former Senior Microsoft Student Ambassador

Saksham brings experience from the Microsoft student ecosystem and will take participants through a practical exploration of Small Language Models and local AI.

SESSION LEAD:SMALL LANGUAGE MODELS: BUILD YOUR OWN AI
LEARN WITH SAKSHAM →
// 04 • PERSPECTIVEARCHITECTURAL SHIFT

WHY SMALL LANGUAGE MODELS?

AI doesn't always need to mean the biggest model available. Smaller language models can open possibilities around:

LOCAL AI

Run models closer to the user.

EFFICIENCY

Work with models designed for more constrained environments.

PRIVACY

Explore workflows where data can remain closer to the device.

CUSTOMIZATION

Adapt models and applications for specific use cases.

DEPLOYMENT

Build AI experiences that can work across different environments.

“The interesting question isn't only how big AI can get. It's how useful AI can become when it gets smaller.”

// 05 • TARGET AUDIENCEBeginner → Intermediate

WHO SHOULD JOIN?

College StudentsSoftware DevelopersAI/ML EnthusiastsWeb & App DevelopersGenerative AI LearnersAspiring AI EngineersTech BuildersAnyone curious about Local AI
You don't need advanced AI/ML knowledge to join. Basic programming knowledge, especially Python, will help you get more from the hands-on portion.
// 06 • PREREQUISITESSETUP CHECKLIST

BEFORE YOU ENTER THE ROOM

Please have ready in advance:

Python 3.10+
VS Code
Git
Hugging Face account
Stable internet connection
Recommended Models (Choose as per your laptop's RAM/GPU):
Qwen3 0.6BQwen3 1.7BQwen3 4B
// 07 • SESSION FORMAT4 PHASES

HOW THE SESSION WORKS

01
LEARN

Understand the fundamentals.

02
BUILD

Follow the practical implementation.

03
EXPERIMENT

Test and modify what you've built.

04
SHIP

Leave with something actually working.

ESTIMATED DURATION2.5 HOURS LIVE
// 08 • EVENT DETAILS100% FREE RSVP

THE DETAILS

EVENTBUILD ROOM 01
SESSIONSmall Language Models: Build Your Own AI
DATE & TIME27 Sep 2026 • 6 PM IST
PLATFORMDiscord Live Stage
ORGANIZED BYDevLinkHub
PARTNERS:
ArrivalX×CoderCrew
// 09 • DEVLINKHUB

MORE THAN A WORKSHOP

BUILD • CONNECT • GROW

BUILD ROOM 01 is part of DevLinkHub, a student builder community focused on bringing developers together to build, connect, and grow.

BUILDERS

People who learn by creating.

DEVELOPERS

People who want to sharpen their technical skills.

CREATORS

People turning ideas into projects.

COMMUNITIES

People building alongside others.

// ADMISSION NOTICE: REGISTRATIONS ARE CLOSED
HOUSEFULL • 150/150 SEATS
DEVLINKHUB LIVE WORKSHOP

Registrations Are Closed

ALL 150 PASSES CLAIMED • ADMISSION FULL

Thank you for the tremendous enthusiasm! Live developer seats for BUILD ROOM 01 are 100% claimed. Don't miss out on what's coming — join our community groups and subscribe below to get instant alerts and VIP priority passes for BUILD ROOM 02 & upcoming hackathons!

STATUSHOUSEFULL
SEAT COUNT150 / 150 CLAIMED
SESSION DATE27 SEP 2026
PLATFORMDISCORD LIVE
// WORKSHOP PREREQUISITESPlease Have Ready In Advance
SETUP CHECKLIST
Python 3.10+Core environment for running SLMs
VS CodeRecommended code editor & terminal
GitFor cloning workshop materials
Hugging Face accountRequired for model weights & tokenizers
Stable internet connectionFor live session & Discord stream
*Recommended models (choose as per your laptop's RAM/GPU):*

Pick the model size best suited for your local hardware specifications.

Qwen3 0.6BQwen3 1.7BQwen3 4B
// STEP 01 • JOIN THE GROUPS

Join Our Builder Groups

Instant Updates & Standby Drops
ACTIVE SQUAD

WhatsApp Community

Instant mobile alerts, direct workshop room links, sprint reminders, and quick member squad discussions.

JOIN WHATSAPP GROUP
VOICE STAGE

Discord Server

Live session voice stage, mentor Q&A channels, code reviews, and priority standby tickets for cancellations.

JOIN DISCORD STAGE
PUSH ALERTS

Telegram Channel

Zero-noise push notifications, resource downloads, workshop decks, and instant registration drops.

JOIN TELEGRAM CHANNEL
// STEP 02 • PRIORITY PASS DISPATCH

Subscribe for Future Event Updates

Enter your email below to receive an early VIP invite link 24 hours before BUILD ROOM 02 and upcoming developer sprints go live to the public.

Zero spam•1-click unsubscribe•Early tickets & updates
// QUESTIONS

FREQUENTLY ASKED QUESTIONS

10 QUESTIONS ANSWERED

What is BUILD ROOM 01?

BUILD ROOM 01 is a live, hands-on developer workshop organized by DevLinkHub.

What is this edition about?

This edition focuses on Small Language Models (SLMs) and building with them.

Do I need AI/ML experience?

No advanced AI/ML experience is required. Basic programming knowledge will be helpful.

Do I need Python?

Python knowledge is recommended for the hands-on portion.

Is the workshop online?

Yes. The workshop will be conducted live on Discord.

When is the workshop?

27 September 2026 at 6:00 PM IST.

Who can attend?

Students, developers, AI/ML enthusiasts, builders, and anyone interested in learning about Small Language Models.

Is the workshop free?

Yes! Registration is 100% free for the community.

Will I need a laptop?

Yes. Since this is a hands-on workshop, participants should have a laptop or desktop ready.

Will the workshop be recorded?

Live interactive workshop session with code repositories, prompts, and resources shared directly with registered participants on Discord.