Prompt Engineering For Effective Interaction With AI V2 Powerpoint Presentation Slides

Slide 1: This slide introduces Prompt Engineering for Effective Interaction with AI. State your company name and begin.
Slide 2: This slide states Agenda of the presentation.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This is another slide continuing Table of Content for the presentation.
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Slide 6: This slide presents Problems faced by large language models.
Slide 7: This slide displays Business implications of not using prompt engineering in AI model.
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Slide 9: This slide discusses the concept of prompt engineering to enhance the output of language models.
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Slide 11: This slide represents Key elements of prompt to develop AI models.
Slide 12: This slide showcases Different categories for efficient prompt arrangement.
Slide 13: This slide shows Prompting tasks to solve basic problems.
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Slide 15: This slide presents Several pillars of prompt engineering technique.
Slide 16: This slide displays Principles of prompt engineering to optimize responses.
Slide 17: This slide represents Prompt engineering used by different AI models.
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Slide 19: This slide showcases Benefits and significance of prompt engineering technique.
Slide 20: This slide shows Role of prompt engineering in context of generative AI.
Slide 21: This slide presents Impact of prompt engineering on industries and research fields.
Slide 22: This slide displays Significance of prompt engineering in NLP and artificial intelligence.
Slide 23: This slide represents Prompt engineering for effective interaction with AI.
Slide 24: This slide showcases Recent trends and opportunities in prompt engineering.
Slide 25: This slide shows Future of prompt engineering with rapid evolution of AI.
Slide 26: This slide highlights title for topics that are to be covered next in the template.
Slide 27: This slide presents Understanding several prompt engineering techniques.
Slide 28: This slide displays Examples of different prompt engineering techniques.
Slide 29: This slide represents Zero shot and few shot prompting method.
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Slide 31: This slide showcases About chain of thought prompting – overview and example.
Slide 32: This slide shows Several adaptations of chain of thought prompting.
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Slide 34: This slide presents Generated knowledge prompting technique overview.
Slide 35: This slide displays Prompt engineering technique - directional stimulus.
Slide 36: This slide represents About ReAct prompting technique – overview and working process.
Slide 37: This slide showcases Multimodal CoT prompting technique – overview and working process.
Slide 38: This slide shows About graph prompting technique – overview and example.
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Slide 40: This slide presents Working process of prompt engineering – problem understanding.
Slide 41: This slide displays Working process of prompt engineering – initial prompt creation.
Slide 42: This slide represents Working process of prompt engineering – response evaluation.
Slide 43: This slide showcases Working process of prompt engineering – iteration and refinement.
Slide 44: This slide shows Working process of prompt engineering – testing on different models.
Slide 45: This slide presents Working process of prompt engineering – scaling.
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Slide 47: This slide displays Relationship between language models and prompt engineering.
Slide 48: This slide represents Key aspects of prompt engineering in AI systems.
Slide 49: This slide showcases Role of prompt engineering in knowledge expansion of AI model.
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Slide 51: This slide shows Reinforcement learning from human feedback - SFT model.
Slide 52: This slide presents Reinforcement learning from human feedback - Reward model.
Slide 53: This slide displays Reinforcement learning from human feedback - RL model.
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Slide 55: This slide represents Methods to evaluate reinforcement learning model.
Slide 56: This slide showcases Step by step guide for ChatGPT prompt engineering.
Slide 57: This slide shows Effective prompt patterns for ChatGPT model.
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Slide 59: This slide displays Key guidelines for designing effective prompts.
Slide 60: This slide represents Best practices for prompt engineering technology.
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Slide 62: This slide showcases Challenges of prompt engineering and possible solutions.
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Slide 64: This slide shows Response exploitation using adversarial prompting.
Slide 65: This slide presents Preventive measures for adversarial prompting in AI systems.
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Slide 67: This slide displays Risks associated with prompting - factuality.
Slide 68: This slide represents Solutions to prevent prompting biases in LLMs.
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Slide 70: This slide showcases Best prompt engineering technology frameworks.
Slide 71: This slide shows Popular toolkits to practice prompt engineering.
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Slide 73: This slide presents Role of data analysts in prompt engineering.
Slide 74: This slide displays Tasks performed by prompt engineers in different scenarios.
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Slide 76: This slide represents Checklist for tuning AI models using prompt engineering.
Slide 77: This slide showcases Timeline for prompt engineering implementation in language models.
Slide 78: This slide shows Roadmap for prompt engineering technology implementation.
Slide 79: This slide presents 30-60-90 days plan to implement prompt engineering.
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Slide 81: This slide displays Estimated budget for prompt engineering implementation.
Slide 82: This slide represents Training program for prompt engineering implementation.
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Slide 84: This slide showcases Impact of using prompt engineering on large language models.
Slide 85: This slide shows Before vs. after implementing prompt engineering on AI model.
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Slide 87: This slide presents Major applications of prompt engineering technique.
Slide 88: This slide displays Major applications of prompt engineering technique contd..
Slide 89: This slide represents Advanced applications of prompting for complex problems.
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Slide 91: This slide showcases Prompt engineering use case – content creation.
Slide 92: This slide shows Prompt engineering use case – medical diagnosis.
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Slide 94: This slide presents About code generation – techniques and benefits.
Slide 95: This slide displays Composition of effective prompt for code generation.
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Slide 97: This slide represents Prompt engineering use case – customer facing chatbot.
Slide 98: This slide showcases Prompt engineering use case – image generation.
Slide 99: This slide shows Industry specific use cases of prompt engineering.
Slide 100: This slide contains all the icons used in this presentation.
Slide 101: This is a Thank You slide with address, contact numbers and email address.