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Building Large Language Models for Production: Enterprise Generative AI

Building Large Language Models for Production: Enterprise Generative AI

Anand V
Date de sortie : 2024-11-04
© Anand V
Building Large Language Models for Production: Enterprise Generative AI - QR Code
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1 épisode
Audio
Écouter sur Apple Podcasts
Libre0%
1 épisode
Audio
Écouter sur Apple Podcasts
Date de sortie : 2024-11-04
© Anand V
L’épisode le plus récent
Building Large Language Models for Production: Enterprise Generative AI

Building Large Language Models for Production: Enterprise Generative AI

Provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data col
Durée : 33:36
Lecture
Provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring. It also examines ethical considerations, showcases real-world applications of LLMs across industries, and delves into emerging trends and challenges in the field.
Id. d’épisode : 1000676080431
GUID : 3fc87f70-b2ec-4b16-b5f9-f988b4a181c3
Date de publication : 4/11/2024 à 12:40:31

Description

Provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring.

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