LLMs under the hood: building models for your unique use cases
This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. Y...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Packt Publishing
2024
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781835883549/?ar |
| Zusammenfassung: | This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. You'll learn how to make crucial architecture decisions, select optimal model types, configure hyperparameters, and curate quality training data. Discover professional techniques for pre-training, iterative fine-tuning, and rigorous model evaluation. The instructors reveal insider strategies to productionize your LLMs smoothly, monitor them proactively, and maintain optimal performance post-deployment. Following a structured curriculum spanning the complete LLM lifecycle, this masterclass empowers you with hands-on skills to build, refine, and deploy large language models with confidence. Turbocharge your generative AI initiatives and get the practical knowledge needed to create LLMs that solve complex challenges for your organization. What you will learn How to select the right LLM architecture for your use case Approaches for sourcing, cleaning, and labeling quality training data Pre-training methods and hyperparameter optimization Advanced fine-tuning techniques to boost performance Ways to thoroughly evaluate LLMs before deployment Best practices for monitoring, updating, and maintaining production LLMs Audience Data scientists, machine learning engineers, and AI developers seeking an in-depth understanding of large language model (LLM) development. This masterclass is designed for professionals aiming to build, optimize, and deploy enterprise-grade LLMs tailored to specific use cases, with a focus on practical skills and real business impact. About the Authors Maxime Labonne: Sr. Machine Learning Scientist, JPMorgan. Denis Rothman: Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author. Abi Aryan: ML Engineer and Author. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed February 8, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (4 hr., 2 min.)) sound, color. |
| ISBN: | 9781835883549 1835883540 |
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| spelling | LLMs under the hood building models for your unique use cases [First edition]. [Place of publication not identified] Packt Publishing 2024 1 Online-Ressource (1 video file (4 hr., 2 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed February 8, 2024) This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. You'll learn how to make crucial architecture decisions, select optimal model types, configure hyperparameters, and curate quality training data. Discover professional techniques for pre-training, iterative fine-tuning, and rigorous model evaluation. The instructors reveal insider strategies to productionize your LLMs smoothly, monitor them proactively, and maintain optimal performance post-deployment. Following a structured curriculum spanning the complete LLM lifecycle, this masterclass empowers you with hands-on skills to build, refine, and deploy large language models with confidence. Turbocharge your generative AI initiatives and get the practical knowledge needed to create LLMs that solve complex challenges for your organization. What you will learn How to select the right LLM architecture for your use case Approaches for sourcing, cleaning, and labeling quality training data Pre-training methods and hyperparameter optimization Advanced fine-tuning techniques to boost performance Ways to thoroughly evaluate LLMs before deployment Best practices for monitoring, updating, and maintaining production LLMs Audience Data scientists, machine learning engineers, and AI developers seeking an in-depth understanding of large language model (LLM) development. This masterclass is designed for professionals aiming to build, optimize, and deploy enterprise-grade LLMs tailored to specific use cases, with a focus on practical skills and real business impact. About the Authors Maxime Labonne: Sr. Machine Learning Scientist, JPMorgan. Denis Rothman: Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author. Abi Aryan: ML Engineer and Author. Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Labonne, Maxime MitwirkendeR ctb Rothman, Denis MitwirkendeR ctb Aryan, Abi MitwirkendeR ctb Packt Publishing, Verlag pbl |
| spellingShingle | LLMs under the hood building models for your unique use cases Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | LLMs under the hood building models for your unique use cases |
| title_auth | LLMs under the hood building models for your unique use cases |
| title_exact_search | LLMs under the hood building models for your unique use cases |
| title_full | LLMs under the hood building models for your unique use cases |
| title_fullStr | LLMs under the hood building models for your unique use cases |
| title_full_unstemmed | LLMs under the hood building models for your unique use cases |
| title_short | LLMs under the hood |
| title_sort | llms under the hood building models for your unique use cases |
| title_sub | building models for your unique use cases |
| topic | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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