Learn about the advanced fine-tuning techniques that make WizardCoder-Python-34B-V1.0 significantly outperform its base model Code LLama - Python 34B in this 28-minute technical video. Explore the evolution of instruction fine-tuning through a complexity cascade, examining the architectural differences between pyramid and cube approaches. Dive into the research paper behind WizardLM, understand complex input handling, and discover how the Model Wizard Language Model processes and generates code. Gain insights into new experimental ideas and approaches in the field of code generation AI, with practical examples demonstrating the enhanced capabilities achieved through sophisticated fine-tuning methods.
Overview
Syllabus
Introduction
The Solution
Explanation
Pyramid vs Cube
Research Paper
Complex Input
Model Wizard Language Model
New Ideas
New Playlist
Experiment
Conclusion
Taught by
Discover AI
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