Large Language Models: No-Code Prompt Engineering
Large Language Models: No-Code Prompt Engineering, available at Free, has an average rating of 4.09, with 29 lectures, 2 quizzes, based on 31 reviews, and has 1372 subscribers.
You will learn about 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. This course is ideal for individuals who are 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. or Whether you're a pro or a beginner in the fields of artificial intelligence. or Business professionals seeking to leverage language models for strategic advantage. or Data analysts aiming to extract insights from vast datasets. or Researchers pushing the boundaries of natural language processing. or Educators revolutionizing teaching practices. or Anyone with a passion for AI and large language models. It is particularly useful for 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. or Whether you're a pro or a beginner in the fields of artificial intelligence. or Business professionals seeking to leverage language models for strategic advantage. or Data analysts aiming to extract insights from vast datasets. or Researchers pushing the boundaries of natural language processing. or Educators revolutionizing teaching practices. or Anyone with a passion for AI and large language models.
Enroll now: Large Language Models: No-Code Prompt Engineering
Summary
Title: Large Language Models: No-Code Prompt Engineering
Price: Free
Average Rating: 4.09
Number of Lectures: 29
Number of Quizzes: 2
Number of Published Lectures: 29
Number of Published Quizzes: 2
Number of Curriculum Items: 31
Number of Published Curriculum Objects: 31
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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.
Who Should Attend
- 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.
Target Audiences
- 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.
Dive into 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 Claude, Mistral, ChatGPT, Gemini, 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!
Course Curriculum
Chapter 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
Chapter 2: Understanding LLMs
Lecture 1: What is Prompt? What is Prompt Engineering?
Lecture 2: Architecture of LLMs
Lecture 3: What are Tokens?
Lecture 4: Adjusting LLM Parameters
Lecture 5: Temperature
Lecture 6: Top-p
Lecture 7: Max Tokens
Lecture 8: Top-k and Other Parameters
Chapter 3: Prompt Development and Prompt Engineering
Lecture 1: Iterative Process of Prompt Development
Lecture 2: Prompt Structure and Roles
Lecture 3: Strategies for Effective Prompt Engineering
Chapter 4: Advanced Customization Techniques
Lecture 1: Advanced Prompt Development Strategies
Lecture 2: Fine-Tuning LLMs
Lecture 3: Retrieval-Augmented Generation (RAG)
Chapter 5: Ethical Considerations in LLM Integration
Lecture 1: Ethical Challenges and Biases
Lecture 2: Responsible Use of LLMs
Chapter 6: Use Cases and Applications
Lecture 1: Data Analytics
Lecture 2: Customer Support
Lecture 3: Drafting Enterprise Documents (RFP, SOP, EOI, NCR, NDA, …)
Lecture 4: Content Creation and SEO
Lecture 5: Programming and Coding
Chapter 7: Benchmarking LLMs and Prompt Engineering Platforms
Lecture 1: Choose a model that's right for you
Lecture 2: Prompt Engineering Platforms
Chapter 8: Future Trends in LLMs
Lecture 1: Future Trends in LLMs
Lecture 2: Closing Note
Instructors
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Dr. Amir Mohammadi
Founder, Instructor, Idea Man
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 13 votes
- 5 stars: 15 votes
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