Update slides 8

[calderonjesus]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

This pull request revises the instructional slides on dataset engineering to improve clarity, update terminology, and emphasize key concepts. The most significant changes involve restructuring the main points for emphasis, refining language for consistency and accuracy, and updating references.

Content restructuring and emphasis:

• Replaced the original introduction and summary sections with a new, prominently placed "Main Points" section that concisely outlines the foundational concepts of dataset engineering, including the importance of data quality, the iterative nature of the process, and the role of synthetic data. [1] [2]

Language improvements and clarifications:

• Improved phrasing throughout the slides for clarity and consistency, such as changing "high quality" to "high-quality," clarifying the example of Alpaca's data synthesis, and standardizing the use of quotation marks. [1] [2] [3] [4] [5]

Reference updates:

• Updated the references section to include the latest edition of Chip Huyen's book, reflecting current best practices in AI engineering.

What did you learn from the changes you have made?

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Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

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Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

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How were these changes tested?

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A reference to a related issue in your repository (if applicable)

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Checklist

• I can confirm that my changes are working as intended

[github-actions]

Hello, thank you for your contribution. If you are a participant, please close this pull request and open it in your own forked repository instead of here. Please read the instructions on your onboarding Assignment Submission Guide more carefully. If you are not a participant, please give us up to 72 hours to review your PR. Alternatively, you can reach out to us directly to expedite the review process.

[github-actions]

Hello, thank you for your contribution. If you are a participant, please close this pull request and open it in your own forked repository instead of here. Please read the instructions on your onboarding Assignment Submission Guide more carefully. If you are not a participant, please give us up to 72 hours to review your PR. Alternatively, you can reach out to us directly to expedite the review process.