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Community presentation
**Title: Fine-Tuning LLMs** **Slide 1:** Introduction to Fine-Tuning Prompt: Add 3–4 short bullet points explaining what fine-tuning is. **Slide 2:** Why Fine-Tune? Prompt: Add …
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**Title: Fine-Tuning LLMs** **Slide 1:** Introduction to Fine-Tuning Prompt: Add 3–4 short bullet points explaining what fine-tuning is. **Slide 2:** Why Fine-Tune? Prompt: Add 3–4 concise bullet points covering common use cases. **Slide 3:** Pretraining vs Fine-Tuning Prompt: Add short bullets comparing the two. **Slide 4:** How Fine-Tuning Works Prompt: Add simple bullet points explaining the training loop. **Slide 5:** Fine-Tuning Dataset Prompt: Add concise bullets on dataset quality, format, and examples. **Slide 6:** Types of Fine-Tuning Prompt: Add short bullets for Full Fine-Tuning, LoRA, and QLoRA. **Slide 7:** LoRA & QLoRA Prompt: Add simple bullets explaining how they reduce compute and memory requirements. **Slide 8:** Prompting vs RAG vs Fine-Tuning Prompt: Add concise bullets explaining when to use each. **Slide 9:** Fine-Tuning Pipeline Prompt: Add short bullets covering data preparation, training, evaluation, and deployment. **Slide 10:** Important Hyperparameters Prompt: Add brief bullets for learning rate, epochs, batch size, sequence length, and LoRA rank. **Slide 11:** Evaluation & Overfitting Prompt: Add concise bullets explaining validation, testing, and overfitting. **Slide 12:** Practical Example Prompt: Add a simple real-world example showing how fine-tuning changes model behavior. **Slide 13:** Key Takeaways Prompt: Add 4–5 short bullet points summarizing the session. **Instruction:** Keep every slide concise and technical. Use short bullet points, avoid paragraphs, and do not overcrowd slides. Follow Design: {"palette":["Chalk White #F8F9FA — crisp primary background","Carbon Ink #1A1D20 — primary titles and high-impact text","Cobalt Blue #0052CC — primary focal points and category highlights","Warm Amber #D97706 — training trade-offs and hyperparameter cautions","Steel Gray #64748B — secondary bullets and structural borders","Soft Platinum #E2E8F0 — card backgrounds and comparison divider lines"],"fonts":{"Space Grotesk":"https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300..700&display=swap","Plus Jakarta Sans":"https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:ital,wght@0,200..800;1,200..800&display=swap","Fira Code":"https://fonts.googleapis.com/css2?family=Fira+Code:wght@300..700&display=swap"},"type":"Space Grotesk bold with tight letter-spacing for structural titles; Plus Jakarta Sans regular/medium for structured bullet points; Fira Code for formula snippets, model weights, and hyperparameter badges.","layout":"Balanced 8-column architectural grid with clean wide gutters, fixed left header anchors, horizontal split cards for pretraining versus fine-tuning comparisons, and strict horizontal baseline alignment across cards.","framework_treatment":"Clean white cards with crisp 1px platinum borders, minimal geometric status pills for model types (LoRA, QLoRA), clean horizontal flow connectors for pipelines, and sharp data comparison tables.","feels_like":"An enterprise ML research whitepaper translated into an executive technical briefing"}
Presentation overview
This community presentation was shared by Basab Jha as a complete 12-slide example. **Title: Fine-Tuning LLMs** **Slide 1:** Introduction to Fine-Tuning Prompt: Add 3–4 short bullet points explaining what fine-tuning is. **Slide 2:** Why Fine-Tune? Prompt: Add … The preview lets you review the full sequence in order, rather than judging the design from a single cover image.
Use it as a reference for planning your own deck: notice how the amount of information changes from slide to slide, where visual emphasis appears, and how repeated design choices help the presentation feel connected. Community examples are inspiration, not locked templates, so you can keep the ideas that fit your audience and replace anything that does not.
Learn from the example
Look at the job each slide performs. Identify where the deck introduces its subject, develops the main points, adds evidence or examples, and moves toward a conclusion.
Notice which element attracts attention first and how headings, supporting text, images, and data are separated. Strong hierarchy makes the intended reading order obvious.
Compare spacing, typography, color, and repeated components across the slides. Consistent rules help varied content feel like one presentation instead of unrelated screens.
Make it your own
Begin with your audience and the decision, lesson, or action the presentation should support. Replace the topic, examples, evidence, and visuals with material you can verify, then edit every slide for one clear takeaway. You can borrow the visual direction without copying the creator's wording or message. Presenton will use this community deck as a design reference while you develop content for your own purpose.
