Hands-On Large Language Models Language Understanding and Generation
- Mumbai Shroff Publishers and Distribution 2024
- 403p.
Understand the architecture of Transformer language models that excel at text generation and representation Build advanced LLM pipelines to cluster text documents and explore the topics they cover Build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers Explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation Gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning