Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
John Wiley & Sons, Incorporated
[2024]
|
| Schriftenreihe: | Tech Today
|
| Links: | https://ebookcentral.proquest.com/lib/hsansbach/detail.action?docID=31246938 |
| Abstract: | Cover -- Contents At A Glance -- Title Page -- Copyright Page -- Dedication Page -- About the Author -- About the Technical Editor -- Contents -- Introduction -- GenAI Applications and Large Language Models -- Importance of Cost Optimization -- Challenges and Opportunities -- Micro Case Studies -- OpenAI: Leading the Way -- Hugging Face: Open-Source Community Building -- Bloomberg GPT: LLMs in Large Commercial Institutions -- Who Is This Book For? -- Summary -- Chapter 1 Introduction -- Overview of GenAI Applications and Large Language Models -- The Rise of Large Language Models -- Neural Networks, Transformers, and Beyond -- GenAI vs. LLMs: What's the Difference? -- The Three-Layer GenAI Application Stack -- The Infrastructure Layer -- The Model Layer -- The Application Layer -- Paths to Productionizing GenAI Applications -- Sample LLM-Powered Chat Application -- The Importance of Cost Optimization -- Cost Assessment of the Model Inference Component -- Cost Assessment of the Vector Database Component -- Benchmarking Setup and Results -- Other Factors to Consider -- Cost Assessment of the Large Language Model Component -- Summary -- Chapter 2 Tuning Techniques for Cost Optimization -- Fine-Tuning and Customizability -- Basic Scaling Laws You Should Know -- Parameter-Efficient Fine-Tuning Methods -- Adapters Under the Hood -- Prompt Tuning -- Prefix Tuning -- P-tuning -- IA3 -- Low-Rank Adaptation -- Cost and Performance Implications of PEFT Methods -- Summary -- Chapter 3 Inference Techniques for Cost Optimization -- Introduction to Inference Techniques -- Prompt Engineering -- Impact of Prompt Engineering on Cost -- Estimating Costs for Other Models -- Clear and Direct Prompts -- Adding Qualifying Words for Brief Responses -- Breaking Down the Request -- Example of Using Claude for PII Removal -- Conclusion -- Providing Context. |
| Umfang: | 1 Online-Ressource (xxv, 190 Seiten) Illustrationen |
| ISBN: | 9781394240746 |
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| id | DE-604.BV049699093 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:19:26Z |
| institution | BVB |
| isbn | 9781394240746 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035041535 |
| oclc_num | 1437869844 |
| open_access_boolean | |
| owner | DE-1102 |
| owner_facet | DE-1102 |
| physical | 1 Online-Ressource (xxv, 190 Seiten) Illustrationen |
| psigel | ZDB-30-PQE ZDB-30-PQE FAN_Einzelkauf_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | John Wiley & Sons, Incorporated |
| record_format | marc |
| series2 | Tech Today |
| spelling | Subramanian, Shreyas Verfasser aut Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian Hoboken, New Jersey John Wiley & Sons, Incorporated [2024] 1 Online-Ressource (xxv, 190 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Tech Today Cover -- Contents At A Glance -- Title Page -- Copyright Page -- Dedication Page -- About the Author -- About the Technical Editor -- Contents -- Introduction -- GenAI Applications and Large Language Models -- Importance of Cost Optimization -- Challenges and Opportunities -- Micro Case Studies -- OpenAI: Leading the Way -- Hugging Face: Open-Source Community Building -- Bloomberg GPT: LLMs in Large Commercial Institutions -- Who Is This Book For? -- Summary -- Chapter 1 Introduction -- Overview of GenAI Applications and Large Language Models -- The Rise of Large Language Models -- Neural Networks, Transformers, and Beyond -- GenAI vs. LLMs: What's the Difference? -- The Three-Layer GenAI Application Stack -- The Infrastructure Layer -- The Model Layer -- The Application Layer -- Paths to Productionizing GenAI Applications -- Sample LLM-Powered Chat Application -- The Importance of Cost Optimization -- Cost Assessment of the Model Inference Component -- Cost Assessment of the Vector Database Component -- Benchmarking Setup and Results -- Other Factors to Consider -- Cost Assessment of the Large Language Model Component -- Summary -- Chapter 2 Tuning Techniques for Cost Optimization -- Fine-Tuning and Customizability -- Basic Scaling Laws You Should Know -- Parameter-Efficient Fine-Tuning Methods -- Adapters Under the Hood -- Prompt Tuning -- Prefix Tuning -- P-tuning -- IA3 -- Low-Rank Adaptation -- Cost and Performance Implications of PEFT Methods -- Summary -- Chapter 3 Inference Techniques for Cost Optimization -- Introduction to Inference Techniques -- Prompt Engineering -- Impact of Prompt Engineering on Cost -- Estimating Costs for Other Models -- Clear and Direct Prompts -- Adding Qualifying Words for Brief Responses -- Breaking Down the Request -- Example of Using Claude for PII Removal -- Conclusion -- Providing Context. Erscheint auch als Druck-Ausgabe 9781394240722 Erscheint auch als Online-Ausgabe, EPUB 9781394240739 |
| spellingShingle | Subramanian, Shreyas Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications |
| title | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications |
| title_auth | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications |
| title_exact_search | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications |
| title_full | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian |
| title_fullStr | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian |
| title_full_unstemmed | Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian |
| title_short | Large Language Model-Based Solutions |
| title_sort | large language model based solutions how to deliver value with cost effective generative ai applications |
| title_sub | How to Deliver Value with Cost-Effective Generative AI Applications |
| work_keys_str_mv | AT subramanianshreyas largelanguagemodelbasedsolutionshowtodelivervaluewithcosteffectivegenerativeaiapplications |