Speculative Decoding: Techniques for Faster LLM Inference

Explore the concept of speculative decoding in this 38-minute video from Trelis Research. Dive into various decoding techniques including naive speculative decoding, prompt-based n-gram speculation, lookahead decoding, and assisted decoding. Learn how these methods can significantly speed up inference in large language models. Follow along with performance testing and analysis of results to understand the practical implications of these techniques. Gain valuable tips for achieving faster inference in your own projects. Access additional resources, including free templates and paid guides, to further enhance your knowledge and implementation of advanced inference techniques.

Faster inference with Speculative Decoding
Video Overview
How speculative decoding works?
Naive speculative decoding
Prompt based n-gram speculation
Lookahead decoding
Assisted decoding
Summary of Decoding Techniques
Performance Testing
Summary of Results
Tips for faster inference