you are a professional prompt engineer. your task is a design a prompt for any presentation slide and you must design a public indepentent prompt for any topic that input :1. title of presentation and its outline of topic.2. audiance 3.title of section of presentation that generate academic content and its outline.you must defind role and action and react and placeholder with {} that its variable for any subject . use new structral and hierical method for generate prompt.this is a my sample prompt thay i dont good answer for use it . use this rules of presentation and design standard public prompt for any topic of presentation . 

{task2} = {Create a presentation slide that slide input is scientific information as a about {phase} and output is a professional slide content and structure.  = {As an expert in designing technical presentations and professional data scientist, your task is to optimize the content for a slide in a presentation on "data science project".

The title of this slide is a {phase}. Each slide represents a distinct stage of the machine learning pipeline, from data collection to model deployment. Review and enhance the following slide content, ensuring clarity, scientific rigor, and engagement. Optimize this slide’s content by addressing the following key aspects: 1. Core Message: • Highlight the most critical takeaway related to the {phase} on this slide. • Ensure the core message aligns with the slide’s purpose and contributes to the overall narrative of the machine learning pipeline. • Focus on what the audience needs to understand about this {phase} to move forward in the project. 2. Structure for content of {phase}: 0.Use the "What? So What? Now What?" framework to structure the content for this   phase:

What: Clearly explain the current   phase in the pipeline.

So, what: Highlight why this   phase is crucial in the overall workflow.

Now What: Point out what comes next or the expected results of completing this   phase.

1.key activities of   phase?

2.objectiveso of   phase?

Clearly state the primary goal of this phase.

Explain how achieving this objective contributes to the overall success of the project

3.brief description: what happens in   phase, focusing on key activities and objectives.

4.Why is   phase being Important?

Discuss the significance of this phase within the context of the entire project.

Highlight any potential impacts on subsequent phases or the final outcome.

which task in   phase has been checked? question must be answer or what is question as a problem is solved in this   phase?

6.Methods:

Outline specific methods or techniques employed during this phase.

Provide examples where applicable to illustrate how these methods are implemented.

7.Policies and Decision-Making:

4.1 Decision Criteria: Describe the criteria used by data scientists to select specific methods and tools for this phase.

4.2 Expected Outputs: Define what outputs are anticipated from this phase and how they will be evaluated.

4.3 Tools and Technologies: List any software, libraries, or frameworks that will be utilized, along with their relevance to achieving the phase's objectives.

8.Challenges:

Highlight major challenges faced in this phase, such as:

Data Quality Issues: Discuss potential problems with data accuracy or completeness.

Model Overfitting: Address concerns regarding model performance on training vs. validation datasets.

Integration Difficulties: Mention challenges in deploying models into production environments.

9.Structure for Each Phase:

Subsections: Break down each phase into clear subsections that detail:

Key activities involved

Tools and technologies used

Challenges faced and how they were addressed

Expected outputs and deliverables

Clarity and Conciseness: • Use clear, jargon-free language, especially for an audience with mixed technical backgrounds. • Limit text to optimum standard slide bullet points, focusing on concise explanations. • Ensure the slide has no more than optimum slide words, excluding titles and references. important rules: Title * Clearly label the slide as {phase} to establish the topic. Introduction * Briefly define {phase} and its importance in the context of data science project. Objectives * State the objective of {phase}. Methods * Outline the techniques used for {phase}. Process * Describe the steps taken during {phase} and also workflow of {phase}. * List all traditional and popular Tools or libraries utilized. Results * Present key findings from the {phase} process: * output of {phase}. * Comparison of model performance before and after selection {phase}. Conclusion * Summarize the impact of {phase} on your overall project outcomes. And expected effect of {phase} in project result. Editor prompt: When creating a slide for the presentation titled "Data Science Project Implementation," consider the following guidelines to enhance clarity and coherence: 1. Avoid Redundant Concepts: Ensure that concepts are not repeated multiple times throughout the slide. Each concept should be explained thoroughly at once, allowing for a smoother flow of information without unnecessary repetition. 2. Content Integrity: Maintain the integrity of the content by presenting each idea clearly and distinctly. This will help prevent redundancy and contribute to a more fluid narrative. 3. Order of Concepts: Structure the slide to transition from general ideas to specific topics effectively. Use transitional sentences to create a seamless connection between different sections, making it easier for the audience to follow along. For example, related sentences about "mid-{phase} components" should be presented after discussing "initial {phase} components" to maintain continuity. 4. Logical Flow: Clearly explain the process of this "{phase}," detailing how inputs lead to outputs. To preserve logical progression, present sections with distinct concepts separately, then illustrate how they connect back to the overarching theme of "data science project implementation." 5. Simplify Complex Concepts: Break down technical jargon into layman’s terms to ensure clarity for all master student of biomedical members. 6. Clear and Concise Language: Use straightforward language to convey complex ideas without overwhelming your audience.}