#51434
Mentioned in 1 episodes
The LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Book • 2024
This handbook provides a structured framework for developing scalable and robust large language model solutions.
It covers the lifecycle of LLMs, from concept to production, including model training, fine-tuning, and deployment.
The book aims to help engineers navigate the complexities of LLM development by offering practical techniques and resources.
It covers the lifecycle of LLMs, from concept to production, including model training, fine-tuning, and deployment.
The book aims to help engineers navigate the complexities of LLM development by offering practical techniques and resources.
Mentioned by
Mentioned in 1 episodes
Mentioned by ![undefined]()
Richie Cotton
49 snips
#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding ML
Mentioned as written by ![undefined]()
Paul Iusztin
#050 Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
