Fine-Tuning Small Language Models: From Basics to Real Use Cases
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Fine-Tuning Small Language Models: From Basics to Real-World Applications
147th Community Meetup
As AI continues to evolve, Small Language Models (SLMs) are emerging as a powerful solution for building efficient, fast, and deployable applications—especially in environments where compute, latency, and privacy are critical.
đź“… Date: April 4 (Saturday)
⏰ Time: 11:00 AM GST
👉 https://nas.io/artificialintelligence/events/147-communitymeetup
Join us for an in-depth community meetup where we move beyond theory and dive into practical fine-tuning techniques using QLoRA-based Supervised Fine-Tuning (SFT).
This session will feature hands-on insights using tools like Unsloth and a base model such as Liquid AI LFM 2.5 (1.2B)—helping you understand how to adapt models for real-world, edge-driven use cases.
### What You’ll Learn:
- Why Small Language Models are gaining traction in modern AI
- How to fine-tune SLMs efficiently with minimal compute resources
- Practical implementation of QLoRA-based SFT
- End-to-end workflow: from pre-trained models to deployment
- Real-world applications in edge and resource-constrained environments
### Who Should Attend:
- AI enthusiasts and learners
- Developers and data professionals
- Anyone looking to build and deploy efficient AI applications
### Bonus Activities:
- Interactive AI Kahoot Quiz
- Win up to $1,000 in scholarships
- $500 Python course giveaway
This is more than just a session—it’s an opportunity to learn, build, and engage with a growing AI community focused on practical innovation.
Secure your spot and take the next step in mastering efficient AI systems.