[Udemy] 2024: Master LLM Prompt Engineering- All You Need

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[Udemy] 2024: Master LLM Prompt Engineering- All You Need (Size: 437.7 MB)
  001-Introduction-LV5I-english-onehack.us.srt 12.3 KB
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  2.-Set-up-and-Prompt-template-__-1.1-PROMPT-ENGINEERING.pdf 1.1 MB
  2.-Set-up-and-Prompt-template-__-3.1-Prompt_Enginnering_Complete-2.ipynb 739.1 KB
  3.-LLM-Properties-__-3.1-Loading_your_LLM-1.ipynb 308.7 KB
  ????-Request-a-Course-????.txt 307.2 B
  ▲ 67 total files

Description


???? Request a Course: ???? docs.google.com/forms

???? Official Course URL: udemy.com/course/master-llm-prompt-engineering/

???? Course Overview:
Unleash the full potential of Large Language Models (LLMs) with "2024: Master LLM Prompt Engineering - All You Need." Designed for all experience levels, this course empowers you to craft effective prompts, understand advanced concepts, and utilize LLMs in real-world applications. Learn from hands-on code walkthroughs and practical examples to master this cutting-edge skill.

???? What You'll Learn:
- Prompt Engineering Fundamentals: Grasp the essentials of creating diverse, task-specific prompts.
- Advanced Techniques: Dive into iterative prompting, few-shot learning, and optimizing LLM outputs.
- Real-World Applications: Tailor prompts for summarization, inference, and content expansion.
- Hands-On Code Walkthroughs: Explore Llama 2 and other models with practical coding exercises.
- Core LLM Concepts: Understand statelessness, quantization, and mitigation of hallucinations.

???? Course Benefits:
- Expert Guidance: Learn from seasoned professionals in AI and Prompt Engineering.
- Interactive Learning: Engage with step-by-step lessons and real-world projects.
- Progressive Curriculum: Build your knowledge from basics to advanced techniques.
- Lifetime Access: Revisit the materials anytime at your pace.
- Certificate of Completion: Validate your expertise in LLM Prompt Engineering.

????️ Course Size: 437.6 MB

⏱️ Total Hours of Course: 5 hours 1 minute

???? Subtitles: English, Persian

Who is this course for? Perfect for data scientists, Python developers, ML practitioners, and beginners eager to master Prompt Engineering with LLMs.

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