This content originally appeared on DEV Community and was authored by Sachin Gadekar
Introduction:
OpenAI’s latest update allows developers to fine-tune GPT-4 models, creating tailored AI solutions with unprecedented ease. Available on paid tiers, this feature is a game-changer for those looking to harness AI for specialized tasks.
Pricing Details:
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Training: $25 per million tokens

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Inference: $3.75 per million input tokens and $15 per million output tokens

Exciting Free Token Offer:
To sweeten the deal, OpenAI is offering up to 1 million tokens daily for free to kickstart your fine-tuning journey. This is an incredible opportunity to experiment without incurring costs.
Getting Started:
Access the fine-tuning feature via the OpenAI dashboard and start creating models that perfectly align with your needs. Whether you’re building a chatbot, refining content recommendations, or diving into NLP tasks, the possibilities are endless. 
Why It Matters:
Fine-tuning GPT-4 opens up new horizons for innovation, enabling developers to craft models that are not only powerful but also uniquely suited to their projects. This accessibility marks a significant step forward in the AI landscape.
Conclusion:
OpenAI’s fine-tuning capabilities empower developers to take AI customization to the next level. With competitive pricing and a generous free token offer, there’s no better time to experiment and innovate with GPT-4. Don’t miss out on this opportunity to shape the future of AI! 
Series Index
| Part | Title | Link |
|---|---|---|
| 1 | Ensuring Reliability in AI-Powered Applications: Testing Strategies for Generative AI |
Read |
| 2 | #Leveraging AI for Bug Bounty Hunting: A Modern Approach | Read |
| 3 | How AI-Powered Tools Like GitHub Copilot Are Transforming Software Development | Read |
This content originally appeared on DEV Community and was authored by Sachin Gadekar

Ensuring Reliability in AI-Powered Applications: Testing Strategies for Generative AI