LEADER 03593nam 22005175 450 001 9911049088103321 005 20260102120809.0 010 $a3-032-01563-4 024 7 $a10.1007/978-3-032-01563-1 035 $a(CKB)44770033800041 035 $a(MiAaPQ)EBC32470808 035 $a(Au-PeEL)EBL32470808 035 $a(DE-He213)978-3-032-01563-1 035 $a(EXLCZ)9944770033800041 100 $a20260102d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHow Large Language Models Can Help Your Search Project /$fby Alessandro Benedetti 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (213 pages) 225 1 $aProfessional and Applied Computing Series 311 08$a3-032-01562-6 327 $aPart I: Large Language Models -- 1. Introduction to Large Language Models -- 2. The Open Source Landscape -- 3. The Commercial Landscape -- Part II: Large Language Models and Search -- 4. Applying Large Language Models to Search -- 5. What Large Language Model Is the Best for You? -- 6. Rabbit Holes -- Part III: How to Use Open Source Software to Interact with Large Language Models -- 7. Open Source Frameworks and Projects -- 8. Popular Open Source Search Engines. 330 $aThe primary scope of this book is to communicate the current state of the art of large language model applications in the domain of information retrieval and search with a pragmatic perspective on industrial adoption via open source software. To this end, the book is organised in three parts: ?Large Language Models? gives an introduction to artificial intelligence and large language models, including an overview of open source and commercial options. Next, ?Large Language Models and Search? describes techniques and strategies to integrate large language models in search projects, including how to choose the right model for a specific use case and how to avoid the classic mistakes that can happen in the process. Eventually, ?How to Use Open Source Software to Interact with Large Language Models? gives an overview of open source technologies to interact with large language models and gives a detailed survey of how the most popular open source search engines support them. The book lays the foundations, deeply analyses the building blocks and shows examples how to implement the ideas described. It highlights both the positives, negatives and possible mitigations of the limitations. This way, it caters primarily software engineers, data scientists and practitioners in artificial intelligence or information retrieval who are curious to learn about the latest trends, research and industrial applications related to search and large language models. 410 0$aProfessional and Applied Computing Series 606 $aInformation storage and retrieval systems 606 $aArtificial intelligence 606 $aInformation Storage and Retrieval 606 $aArtificial Intelligence 615 0$aInformation storage and retrieval systems. 615 0$aArtificial intelligence. 615 14$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 676 $a025.04 700 $aBenedetti$b Alessandro$0353192 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049088103321 996 $aHow Large Language Models Can Help Your Search Project$94522053 997 $aUNINA