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מתחיל 5 June 2026 19:50

נגמר 5 June 2026

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The New Prompting Rules: How to Prompt Frontier LLM Models like Gemini 2.5, GPT 4.1 and Claude 3.7

Unlock the secrets of prompting next-generation LLM models like Gemini 2.5, GPT-4.1, and Claude 3.7. Learn to expertly manage context, follow instructions with precision, utilize delimiters, and apply negation to enhance AI interactions. This YouTube-hosted course delves into building effective prompt structures, essential for anyone in artifi.
Venelin Valkov via YouTube

Venelin Valkov

6076 קורסים


20 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Free Video

שדרוג אופציונלי זמין

סקירה כללית

Unlock the secrets of prompting next-generation LLM models like Gemini 2.5, GPT-4.1, and Claude 3.7. Learn to expertly manage context, follow instructions with precision, utilize delimiters, and apply negation to enhance AI interactions.

This YouTube-hosted course delves into building effective prompt structures, essential for anyone in artificial intelligence or computer science fields.

סילבוס

  • Introduction to Frontier LLM Models
  • Overview of Gemini 2.5
    Overview of GPT-4.1
    Overview of Claude 3.7
  • Basics of Prompting
  • Understanding Prompt Structure
    Importance of Context in Prompting
  • Advanced Prompting Techniques
  • Context Handling and Management
    Instruction Following for Accurate Responses
    Utilizing Delimiters for Clarity
  • Avoiding Common Pitfalls
  • Effective Use of Negation in Prompts
    Recognizing and Mitigating Ambiguities
  • Crafting Powerful Prompts
  • Balancing Specificity and Generality
    Techniques for Iterative Prompt Refinement
  • Practical Applications
  • Case Studies with Gemini 2.5
    Case Studies with GPT-4.1
    Case Studies with Claude 3.7
  • Future Trends in Prompting
  • Anticipating Changes in Model Capabilities
    Innovations in Prompting Methods
  • Hands-On Workshop
  • Real-World Prompting Scenarios
    Collaborative Prompt Design Session
  • Course Conclusion
  • Recap of Key Techniques
    Strategies for Ongoing Learning and Adaptation

נושאים

Computer Science