LLMOps
Managing Large Language Models in Production
Seiten
2025
O'Reilly Media (Verlag)
978-1-0981-5420-2 (ISBN)
O'Reilly Media (Verlag)
978-1-0981-5420-2 (ISBN)
- Noch nicht erschienen (ca. März 2025)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
With this book, you'll learn how to integrate OpenAI ChatGPT and Whisper into your MLOps pipeline to create conversational AI applications. This integration will enable you to build powerful chatbots, virtual assistants, and other conversational AI applications.
Learning LLMOps can help optimize the development process, ensure reproducibility, scale infrastructure, and enhance security and privacy, resulting in more efficient and effective deployment of large language models. Large language models require a significant amount of computational resources to develop, train, and fine-tune and can quickly become computationally expensive as the model size and training data increases. LLMOps is an infrastructure management framework that helps scale the infrastructure needed to support these models, making it possible to train and deploy them at scale while ensuring that models are secure and comply with privacy regulations. In this book, you'll learn how to integrate OpenAI ChatGPT and Whisper into your MLOps pipeline to create conversational AI applications. This integration will enable you to build powerful chatbots, virtual assistants, and other conversational AI applications. You'll gain practical experience in developing, deploying, and managing large language models using MLOps techniques.
Learning LLMOps can help optimize the development process, ensure reproducibility, scale infrastructure, and enhance security and privacy, resulting in more efficient and effective deployment of large language models. Large language models require a significant amount of computational resources to develop, train, and fine-tune and can quickly become computationally expensive as the model size and training data increases. LLMOps is an infrastructure management framework that helps scale the infrastructure needed to support these models, making it possible to train and deploy them at scale while ensuring that models are secure and comply with privacy regulations. In this book, you'll learn how to integrate OpenAI ChatGPT and Whisper into your MLOps pipeline to create conversational AI applications. This integration will enable you to build powerful chatbots, virtual assistants, and other conversational AI applications. You'll gain practical experience in developing, deploying, and managing large language models using MLOps techniques.
| Erscheint lt. Verlag | 31.3.2025 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-0981-5420-7 / 1098154207 |
| ISBN-13 | 978-1-0981-5420-2 / 9781098154202 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Buch | Softcover (2024)
REDLINE (Verlag)
CHF 27,95
Eine kurze Geschichte der Informationsnetzwerke von der Steinzeit bis …
Buch | Hardcover (2024)
Penguin (Verlag)
CHF 39,20
