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Overview
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Explore the world of Large Language Models (LLMs) and Generative AI in this 16-minute video from Google Cloud Tech. Learn about the intersection of LLMs and GenAI within deep learning, discover various use cases, and gain insights into Prompt Tuning and GenAI development tools. Delve into topics such as the Pathways Language Model (PaLM), LLM Development compared to Traditional Development, Prompts and Prompt Engineering, Chain of Thought Reasoning, Model Garden Task Specific Models, and more efficient tuning methods. Enhance your understanding of these cutting-edge technologies and their applications in the field of artificial intelligence.
Syllabus
Intro
Benefits of using large language models
Pathways Language Model (PaLM)
LLM Development vs. Traditional Development
What are Prompts and Prompt Engineering?
Chain of Thought Reasoning
Model Garden Task Specific Models
More efficient methods of tuning
Taught by
Google Cloud Tech
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You can learn very basics about LLM.
Summarizing long documents.
Analyzing the sentiment in user reviews.
Generating draft comments or feedback.
Evaluating the quality of AI outputs.
LLMs can sometimes invent information. Human oversight is needed to ensure factual accuracy. They are tools to enhance human productivity.