Foundations of Large Language Models
A six-chapter book covers LLM pre-training, generation, prompting, alignment, inference, and reasoning.
This book presents foundational concepts for large language models rather than a survey of every recent technique. Six chapters cover pre-training, generative models, prompting, alignment, inference, and reasoning. It is aimed at college students, NLP professionals, and practitioners as a reference for how LLMs work.
- Six chapters cover pre-training, generation, prompting, alignment, inference, and reasoning.
- The book emphasizes foundations rather than every recent technique.
- It targets students, NLP professionals, and practitioners.
From the original article
1 min read at huggingface.co
This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into six main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, inference, and reasoning.
By Tong Xiao, Jingbo Zhu · huggingface.co
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.