Share this link via
Or copy link
Overview
This course provides an introduction to small language models (SLMs), a type of machine learning model that processes and generates human language. Unlike large-scale models like GPT-3, SLMs focus on efficiency, making them suitable for applications with limited resources or specific domain tasks. The course covers the design and implementation of small language models, including techniques like tokenization, embedding, and transfer learning. Students will also learn about the trade-offs between model size and performance, and how to fine-tune these models...
Syllabus
- Understanding Small Language Models and their characteristics
- Leveraging high-quality, specialized training data for improved performance
- Loading and running inference with pre-trained SLMs
- Fine-tuning SLMs for specialized tasks
- Developing applications using SLMs in production environments
Instructor
AI
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.