Introduction to Large Language Models (LLM's)

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Hey there 👋! Was this Prompt Engineering tutorial from Scott helpful? Want more like it?

Let us know in the comments. The more likes and comments, the more Prompt Engineering content we'll release and create ⬇️

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💥 Who is Scott's Prompt Engineering course for?

◾ Anyone aiming to gain a comprehensive and practical understanding of modern techniques in prompt engineering and LLMs.
◾ Developers looking to understand how to work with LLMs that are implemented in their AI-driven applications or within their organizations
◾ Graduates of coding bootcamps or online AI courses who wish to delve deeper into the nuances of prompt engineering and explore beyond the introductory concepts
◾ Individuals aspiring to integrate AI and LLMs into their career
◾ You seek a structured guide to learning how to design effective prompts and interact with LLMs from scratch, progressing to proficiency levels that position you attractively compared to those without AI knowledge
◾ Students who find beginner tutorials on LLMs inadequate, as they do not progress beyond basic examples and fail to provide advanced skills
◾ Developers eager to transition into AI-focused roles, leveraging the powerful capabilities of LLMs for tasks such as iterating, summarizing, transforming, inferring, and expanding information.
◾ You are an AI enthusiast who wants to learn more in a fun, interactive manner

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Graduates of Zero To Mastery are now working at Google, Tesla, NVIDIA, Amazon, Apple, IBM, JP Morgan, Meta, NASA, Shopify + other top companies. Many are also working as top-rated Freelancers getting paid $1,000s while working remotely around the world.

This could be you 👆

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#zerotomastery #ai #promptengineering
  1. Zero To Mastery
  2. llms
  3. large language models
  4. chatbots
  5. chatgpt
  6. bard
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Please launch a native Android development course now that kmp is stable and jetpack compose is gaining attention

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