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

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[NEW] 2024 - Master LLM Prompt Engineering- All You Need
  • 001-Introduction-LV5I-english-onehack.us.srt (12.3 KB)
  • 001-Introduction-LV5I-onehack.us.mp4 (14.3 MB)
  • 001-Introduction-LV5I-persian-onehack.us.srt (18.1 KB)
  • 002-Llama-2-vs-Llama-2-chat-7L3X-english-onehack.us.srt (2.2 KB)
  • 002-Llama-2-vs-Llama-2-chat-7L3X-onehack.us.mp4 (3.1 MB)
  • 002-Llama-2-vs-Llama-2-chat-7L3X-persian-onehack.us.srt (3.1 KB)
  • 003-LLM-configuration-parameters-1ImX-english-onehack.us.srt (9.7 KB)
  • 003-LLM-configuration-parameters-1ImX-onehack.us.mp4 (13.1 MB)
  • 003-LLM-configuration-parameters-1ImX-persian-onehack.us.srt (13.7 KB)
  • 004-Set-up-using-Lamma-2-eyJD-english-onehack.us.srt (20.9 KB)
  • 004-Set-up-using-Lamma-2-eyJD-onehack.us.mp4 (29.4 MB)
  • 004-Set-up-using-Lamma-2-eyJD-persian-onehack.us.srt (29.9 KB)
  • 005-Stateless-LLMs-Ummc-english-onehack.us.srt (15.7 KB)
  • 005-Stateless-LLMs-Ummc-onehack.us.mp4 (20.5 MB)
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  • 008-Quantized-models-AxI8-english-onehack.us.srt (16.7 KB)
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  • 009-Quantized-Models-Notebook-MTuM-english-onehack.us.srt (26.5 KB)
  • 009-Quantized-Models-Notebook-MTuM-onehack.us.mp4 (41.0 MB)
  • 009-Quantized-Models-Notebook-MTuM-persian-onehack.us.srt (39.5 KB)
  • 010-AWQ-SETUP-and-usage-of-notebook-ir0l-english-onehack.us.srt (10.8 KB)
  • 010-AWQ-SETUP-and-usage-of-notebook-ir0l-onehack.us.mp4 (16.8 MB)
  • 010-AWQ-SETUP-and-usage-of-notebook-ir0l-persian-onehack.us.srt (15.7 KB)
  • 011-Check-Conditions-assumptions-AACN-english-onehack.us.srt (5.6 KB)
  • 011-Check-Conditions-assumptions-AACN-onehack.us.mp4 (7.7 MB)
  • 011-Check-Conditions-assumptions-AACN-persian-onehack.us.srt (8.2 KB)
  • 012-Clear-Instructions-Delimiters-ixox-english-onehack.us.srt (11.8 KB)
  • 012-Clear-Instructions-Delimiters-ixox-onehack.us.mp4 (15.8 MB)
  • 012-Clear-Instructions-Delimiters-ixox-persian-onehack.us.srt (16.9 KB)
  • 013-Specific-Output-Structure-dJIV-english-onehack.us.srt (2.6 KB)
  • 013-Specific-Output-Structure-dJIV-onehack.us.mp4 (3.4 MB)
  • 013-Specific-Output-Structure-dJIV-persian-onehack.us.srt (3.8 KB)
  • 014-Few-Shot-Prompting-AMve-english-onehack.us.srt (5.2 KB)
  • 014-Few-Shot-Prompting-AMve-onehack.us.mp4 (7.4 MB)
  • 014-Few-Shot-Prompting-AMve-persian-onehack.us.srt (7.6 KB)
  • 015-Give-time-to-think-zOEx-english-onehack.us.srt (16.2 KB)
  • 015-Give-time-to-think-zOEx-onehack.us.mp4 (24.1 MB)
  • 015-Give-time-to-think-zOEx-persian-onehack.us.srt (23.2 KB)
  • 016-Hallucination-pPAK-english-onehack.us.srt (7.8 KB)
  • 016-Hallucination-pPAK-onehack.us.mp4 (10.0 MB)
  • 016-Hallucination-pPAK-persian-onehack.us.srt (11.1 KB)
  • 017-Iterative-Prompting-U40n-english-onehack.us.srt (4.2 KB)
  • 017-Iterative-Prompting-U40n-onehack.us.mp4 (4.5 MB)
  • 017-Iterative-Prompting-U40n-persian-onehack.us.srt (6.3 KB)
  • 018-Issues-While-summarizing-bXMw-english-onehack.us.srt (18.9 KB)
  • 018-Issues-While-summarizing-bXMw-onehack.us.mp4 (26.5 MB)
  • 018-Issues-While-summarizing-bXMw-persian-onehack.us.srt (27.6 KB)
  • 019-summarize-5bS6-english-onehack.us.srt (11.6 KB)
  • 019-summarize-5bS6-onehack.us.mp4 (15.8 MB)
  • 019-summarize-5bS6-persian-onehack.us.srt (17.0 KB)
  • 020-Inference-3SIv-english-onehack.us.srt (25.0 KB)
  • 020-Inference-3SIv-onehack.us.mp4 (31.1 MB)
  • 020-Inference-3SIv-persian-onehack.us.srt (36.7 KB)
  • 021-Transformation-D9E5-english-onehack.us.srt (20.8 KB)
  • 021-Transformation-D9E5-onehack.us.mp4 (35.6 MB)
  • 021-Transformation-D9E5-persian-onehack.us.srt (30.6 KB)
  • 022-Expanding-mW6Z-english-onehack.us.srt (25.3 KB)
  • 022-Expanding-mW6Z-onehack.us.mp4 (37.9 MB)
  • 022-Expanding-mW6Z-persian-onehack.us.srt (36.9 KB)
  • 023-Image-Prompting-a8mc-english-onehack.us.srt (28.7 KB)
  • 023-Image-Prompting-a8mc-onehack.us.mp4 (50.8 MB)
  • 023-Image-Prompting-a8mc-persian-onehack.us.srt (42.0 KB)
  • exercise_files
    • 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 (0.3 KB)

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


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437.7 MB
seeders:43
leechers:10
[Udemy] 2024: Master LLM Prompt Engineering- All You Need


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