How to Fine-tune a ChatGPT 3.5 Turbo Model to improve your LLM results - Step by Step Guide

Seminar Description:

Unlock the full potential of ChatGPT 3.5 Turbo through fine-tuning! This focused seminar walks you through each step of the fine-tuning process, from dataset preparation to implementation. Whether you’re a developer, data scientist, or AI enthusiast, you’ll gain actionable insights to create more specialized and effective applications using fine-tuned models.

Agenda:

• Introduction
• Why Fine-tune ChatGPT 3.5 Turbo?
• Step 1: Preparing Datasets
  Guidance on sourcing and preparing quality datasets for fine-tuning.
• Step 1.5: Formatting Datasets
  Best practices for formatting your datasets for optimal results.
• Step 2: Uploading Files
  A walk-through of how to upload your prepared datasets.
• Step 3: Create a Fine-Tuning Job
  A detailed explanation of setting up and initiating the fine-tuning process.
• Step 4: Using the Fine-Tuned Model
  Demonstrating how to implement and deploy your fine-tuned model.
• Conclusion
  Summary of key takeaways
• Q&A

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The STARTPLATZ AI Hub is a central meeting point for everyone interested in generative artificial intelligence. As an integral part of STARTPLATZ, the largest incubator and accelerator in NRW, the Hub serves as a platform for exploring and delving into the realm of generative AI. Through educational opportunities, networking possibilities, and strategic partnerships, the STARTPLATZ AI Hub enables individuals and companies to fully harness the potential of the AI sector.
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