Prompt Engineering & AI with ChatGPT: Novice to Expert 2025


AI Secrets and techniques of Immediate Engineering, Automation, Coding, Advertising and marketing , Superior Subjects Coated

What you’ll be taught

Introduction to Immediate Engineering , What’s Immediate Engineering

AI Key Phrases Immediate(Directions given to AI) Mannequin(AI System Processing the immediate) LLM(AI Educated on huge Information) Token(Smallest Unit of AI Textual content Processing)

How AI Fashions Work : Prediction , Studying & Limitations

Sorts of AI Prompts : Educational , Conversational & Function-Based mostly

Greatest Practices for Writing Efficient Immediate : Be Particular , Give Context & Outline Tone

Widespread Errors in Immediate Engineering : Imprecise Prompts (too Common)= Weak Solutions Too A lot (AI will get confused break it up) Ignoring (Refine and Retry Prompts)

Testing and Refining Prompts : Take a look at Variations (Small Tweaks Enhance Solutions) Add Particulars (AI Want Clear Directions) Iterate(AI get Higher with Refinement)

Chain-of-Thought Prompting : Clarify Steps (Drive AI to elucidate step-by-step) Drawback-Fixing (Higher for logical duties) Helpful(Good for Math and Reasoning)

Zero-Shot (AI Guess Reply with out Examples) versus Few-Shot Prompting (we give AI Examples for coaching , higher and correct Reponses)

Function-Taking part in & Context Setting : Make AI an Skilled (Physician ,Instructor, Developer). Context Improves Responses. Helpful for enterprise, studying and Drawback fixing

Multi-Step Prompts for Complicated Duties: Break large requests into smaller steps for higher efficiency , AI is healthier with structured duties

Meta-Prompting for Recursive Self Enhancements : iteratively refine AI-generated prompts , functions in autonomous AI optimization

Neuro-symbolic Immediate-Integration (Symbolic Logic , Neural Networks , Hybrid Advantages)

Adversarial Immediate Protection Mechanisms : Detection , Classification , Neutralization , Adaption Phases

Hyperparameter Optimization for Prompts : Temperature Management , Prime-k sampling , Prime-p (Nucleus) Sampling, Repetition Penalties

Cross-Modal Immediate Engineering : Textual content Modality , Visible Modality , Code Modality , Audio Modality

Dynamic Context Window Administration: Vital Data(Key context at all times retained) Latest Data(Close to-term reminiscence preserved) Background Data (Compressed for reference)

Integrating AI into Enterprise & Productiveness: combine into each day routine , Streamline emails , reviews & Scheduling , save time and increase productiveness

Immediate Engineering for Coding & Automation : Code Technology(AI Writes & repair Code) Debugging(finest with clear errors particulars) , (specify programming language)

Key Use Circumstances for Immediate Engineering Optimization (Workflow throughout Industries, Actual-World functions AI pushed prompts , effectivity )

AI Use Case: Analysis & Enterprise Evaluation : Information Summarization , Educational Analysis , Enterprise Stories

AI Use Case: Buyer Help & Authorized (AI Chatbots , E mail Writing , Authorized and Compliance)

AI Use Case: Human Assets & Software program Improvement (HR & Recruitment , interview preparation (AI generate Questions)) , Coding & Debugging Writes and repair Code

AI Use Case : E-Commerce & knowledge Processing

AI Use Case: Translation , Studying and Advertising and marketing

AI Use Case: Safety and Automation

Moral AI Prompting : Keep away from Bias & Errors : Impartial Questions , Quick Examine , Be Aware

The Way forward for AI & Immediate Engineering (Smarter AI , Useful Abilities , AI Help)

The best way to Keep Forward in AI & Immediate Engineering

Closing Ideas & Subsequent Steps in Immediate Engineering

Closing Problem – Your AI Superpower!

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