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Learn how to use and launch large language models (LLMs) like GPT, Llama, Claude T5, and BERT and design prompts for optimal AI workloads.
Introduction to Large Language Models (LLMs) and Prompt Engineering guides you to launch LLMs like GPT, Llama, Claude, 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. It also covers how to begin your LLM journey with prompt engineering with optimal instruction placements and prompting across models. The video works toward building a Retrieval-Augmented Generation (RAG) system with LLMs. It fills a gap in the market by providing a guide to using LLMs and will be a valuable resource for anyone looking to use LLMs in their projects.
The companion GitHub repository for this course is at https://github.com/sinanuozdemir/quick-start-guide-to-llms
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Lesson 1: Overview of Large Language Models
Lesson 2: Semantic Search with LLMs
Lesson 3: First Steps with Prompt Engineering
Lesson 4: Retrieve Augmented Generation (RAG) + AI Agents
Lesson 5: Advanced Prompt Engineering