LLMs for Modern Software Delivery and DevOps. Applying Large Language Models to Software Delivery and SRE Gu Huangliang, Zheng Qingzheng, Niu Xiaoling, Che Xin
angielski
- Autorzy:
- Gu Huangliang, Zheng Qingzheng, Niu Xiaoling, Che Xin
- Serie wydawnicze:
- Hands-on
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 442
- Dostępne formaty:
-
PDFePub
Opis
książki
:
LLMs for Modern Software Delivery and DevOps. Applying Large Language Models to Software Delivery and SRE
You will build the LLM foundations needed to understand modern AI systems, including language model evolution, Transformer architecture, GPT-style generation, and efficient fine-tuning techniques such as LoRA and QLoRA. The book then connects these foundations to enterprise-ready patterns such as retrieval-augmented generation (RAG), multi-agent systems, and platform-based AI assistance. Through operations, testing, coding, project management, and cybersecurity scenarios, you will see how LLMs can support log analysis, ticket handling, root cause analysis, test generation, code generation, risk management, and security workflows.
By the end of the book, you will understand how to move from model experimentation to practical AI-assisted delivery, evaluate where LLMs create measurable value across DevOps, SRE, and platform engineering workflows, and recognize the constraints, risks, and governance considerations involved.
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Szczegóły książki
- Tytuł oryginału:
- LLMs for Modern Software Delivery and DevOps. Applying Large Language Models to Software Delivery and SRE
- ISBN Ebooka:
- 978-18-076-0918-4, 9781807609184
- Data wydania ebooka :
-
2026-07-01
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- Serie wydawnicze: Hands-on
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