Mastering Large Language Models: No-Code Prompt Engineering
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 200.60 MB | 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.