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समाप्त होता है 7 June 2026

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Quick Start Guide to Large Language Models (LLMs)

Master building and deploying GPT, Llama, T5, and BERT at scale with step-by-step guidance, real-world case studies, fine-tuning techniques, and practical applications.
via Coursera

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वैकल्पिक अपग्रेड उपलब्ध है

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Paid Course

वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

This specialization is a quick start guide to help people use and launch LLMs like GPT, Llama, T5, and BERT at scale. It presents a step-by-step approach to building and deploying LLMs, with real-world case studies to illustrate the concepts, and covers topics such as constructing agents, fine-tuning a Llama 3 model with RLHF, building recommendation engines with Siamese BERT architectures, launching an information retrieval system with OpenAI embeddings and GPT-4, and building an image captioning system with the vision transformer and GPT.

This guide provides clear instructions and best practices for using LLMs and will be a valuable resource for anyone looking to use LLMs in their projects.

पाठ्यक्रम

  • Course 1: Quick Start Guide to Large Language Models (LLMs): Unit 1
  • Course 2: Quick Start Guide to Large Language Models (LLMs): Unit 2
  • Course 3: Quick Start Guide to Large Language Models (LLMs): Unit 3

द्वारा पढ़ाया गया

Pearson


विषय

Computer Science