How to Instruction Tune a Base Language Model
While LLMs have showcased exceptional language understanding, tailoring them for specific tasks can pose a challenge. This webinar delves into the nuances of supervised fine-tuning, instruction tuning, and the powerful techniques that bridge the gap between model objectives and user-specific requirements. Here's what we'll cover: * Specialized Fine-Tuning: Adapt LLMs for niche tasks using labeled data. * Introduction to Instruction Tuning: Enhance LLM capabilities and controllability
A look at how to instruction-tune a base language model, covering supervised fine-tuning, instruction tuning, and techniques that bridge the gap between model objectives and user-specific requirements, including specialized fine-tuning with labeled data.
More from the studio
1:01:41SF DEMO NIGHT 🚀 (w/ The AI Collective)
Six startup teams present live AI demos spanning interactive avatars, executive communication, home services, autonomous-agent security, enterprise operations, and personal intelligence, followed by audience Q&A and community voting.
Dmytro Spodarets·Sep 18, 2026
17:58Interview with Keerti Melkote: Anyscale Azure Integration and the Future of Ray
At Ray Summit 2025, Dmytro Spodarets speaks with Keerti Melkote about Anyscale, Ray, and the new Azure integration. The interview covers enterprise AI workloads, GPU challenges, agentic systems, and the future of scalable AI infrastructure.
Dmytro Spodarets·Nov 24, 2025
38:39Manus vs OpenAI: How a Startup Is Beating the Giants in the AI Agent Race
Tao Zhang of Manus AI shares how the startup is taking on OpenAI in the agent race, revealing product insights, strategy, and the future of intelligent tools.
Dmytro Spodarets·Jul 21, 2025