Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG
With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LL...
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Towards AI
2024
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2025-01-03T08:21:11Z |
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| language | English |
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| physical | xi, 453 Seiten |
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| spelling | Bouchard, Louis-François Verfasser aut Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG Louis-François Bouchard, Louie Peters [Place of publication not identified] Towards AI 2024 xi, 453 Seiten txt rdacontent n rdamedia nc rdacarrier With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python. Großes Sprachmodell (DE-588)1322631905 gnd rswk-swf Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Großes Sprachmodell (DE-588)1322631905 s DE-604 Peters, Louie Verfasser aut Erscheint auch als Online-Ausgabe 979-8-3247-3147-2 |
| spellingShingle | Bouchard, Louis-François Peters, Louie Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG Großes Sprachmodell (DE-588)1322631905 gnd |
| subject_GND | (DE-588)1322631905 |
| title | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG |
| title_auth | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG |
| title_exact_search | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG |
| title_full | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG Louis-François Bouchard, Louie Peters |
| title_fullStr | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG Louis-François Bouchard, Louie Peters |
| title_full_unstemmed | Building LLMs for production enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG Louis-François Bouchard, Louie Peters |
| title_short | Building LLMs for production |
| title_sort | building llms for production enhancing llm abilities and reliability with prompting fine tuning and rag |
| title_sub | enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG |
| topic | Großes Sprachmodell (DE-588)1322631905 gnd |
| topic_facet | Großes Sprachmodell |
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