Mastering Large Language Models: No-Code Prompt Engineering
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English
| Duration: 1h 0m
Master the architecture of LLMs like GPT-4, learn iterative prompt engineering, and discover practical use cases.
What you'll learn
Understand how LLMs work, including their architecture, training process, and key parameters.
Learn effective prompt customization techniques, including iterative development, structuring prompts, and identifying roles.
Discover how to optimize LLM performance through parameter adjustment, including temperature, top-p, and max tokens.
Explore practical use cases in data analytics, sentiment analysis, and content creation to apply LLMs effectively.
Gain insights of ethical considerations in LLM use and learn best practices for responsible deployment.
Learn step-by-step tutorials on leveraging prompt engineering platforms, facilitating collaboration among teams, and maximizing productivity.
Requirements
No programming experience needed.
Whether you're a pro or just starting out, you'll find useful tips and ideas you can use right away.
No paid subscription required.
Description
Master the world of large language models with our no-code Prompt Engineering course! Whether you're a seasoned developer, a business strategist, a data analyst, an academic researcher, or anyone with a passion for AI and large language models, this course offers a comprehensive journey through the intricacies of crafting prompts to unleash the full potential of language models like ChatGPT, Gemini, Claude, Mistral, and Llama.But that's just the beginning - we also guide you through the intricate art of prompt customization, exploring effective techniques such as iterative development, prompt structuring, and role identification. You'll learn how to tailor prompts to elicit precise responses from language models, unleashing their full potential for your specific needs.Moreover, we don't stop at theory - our course provides hands-on tutorials on leveraging prompt engineering platforms, facilitating collaboration among teams, and maximizing productivity in your projects. We also talk about ethical considerations and best practices for responsible deployment of language models, ensuring that you're equipped to navigate the ethical landscape of AI with integrity.Join us as we navigate the fascinating landscape of large language models and prompt engineering platforms, equipping you with the knowledge and tools to harness the power of AI for innovation and impact. As the field of large language model continues to evolve rapidly, it's essential for all of us to stay updated. Fortunately, with the knowledge that you gain in this course, you will be well-positioned for success in the fast-paced AI market.Enroll today and take the next step towards becoming a master of prompt engineering!
Overview
Section 1: Introduction to Large Language Models (LLMs)
Lecture 1 Introduction
Lecture 2 What are Large Language Models?
Lecture 3 Evolution of Language Models
Lecture 4 Applications of LLMs
Section 2: Understanding LLMs
Lecture 5 What is Prompt? What is Prompt Engineering?
Lecture 6 Architecture of LLMs
Lecture 7 What are Tokens?
Lecture 8 Adjusting LLM Parameters
Lecture 9 Temperature
Lecture 10 Top-p
Lecture 11 Max Tokens
Lecture 12 Top-k and Other Parameters
Section 3: Prompt Development and Prompt Engineering
Lecture 13 Iterative Process of Prompt Development
Lecture 14 Prompt Structure and Roles
Lecture 15 Strategies for Effective Prompt Engineering
Section 4: Advanced Customization Techniques
Lecture 16 Advanced Prompt Development Strategies
Lecture 17 Fine-Tuning LLMs
Lecture 18 Retrieval-Augmented Generation (RAG)
Section 5: Ethical Considerations in LLM Integration
Lecture 19 Ethical Challenges and Biases
Lecture 20 Responsible Use of LLMs
Section 6: Use Cases and Applications
Lecture 21 Data Analytics
Lecture 22 Customer Support
Lecture 23 Drafting Enterprise Documents (RFP, SOP, EOI, NCR, NDA, .)
Lecture 24 Content Creation and SEO
Lecture 25 Programming and Coding
Section 7: Benchmarking LLMs and Prompt Engineering Platforms
Lecture 26 Choose a model that's right for you
Lecture 27 Prompt Engineering Platforms
Section 8: Future Trends in LLMs
Lecture 28 Future Trends in LLMs
Lecture 29 Closing Note
This course is designed for anyone interested in leveraging the power of Large Language Models (LLMs) and Prompt Engineering to enhance their productivity and creativity.,Whether you're a pro or a beginner in the fields of artificial intelligence.,Business professionals seeking to leverage language models for strategic advantage.,Data analysts aiming to extract insights from vast datasets.,Researchers pushing the boundaries of natural language processing.,Educators revolutionizing teaching practices.,Anyone with a passion for AI and large language models.
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