The OpenAI Build Hour: On-Demand Library is a resource featuring monthly live events designed for developers and founders. It provides hands-on demos, best practices, and real-world examples to showcase how to effectively use OpenAI’s APIs and models.
Initial Topics Covered
1. Distillation Build Hour
- Speaker: Anoop
- Focus: Improving cost, latency, and performance using model distillation techniques.
2. Reasoning with o1 Build Hour
- Speaker: Roy
- Focus: Leveraging OpenAI’s new reasoning models (o1 series).
- Example: Sourcegraph’s production use case.
3. Evals Build Hour
- Speaker: Noah
- Focus: Using OpenAI’s o1 models to build evaluations that boost performance.
4. Realtime Build Hour
- Speaker: Ilan
- Focus: Achieving human-level latency with the new Realtime API.
5. Structured Outputs Build Hour
- Speaker: Katia
- Focus: Ensuring 100% reliability with OpenAI’s new Structured Outputs feature.
6. GPT-4o Mini Fine-Tuning Build Hour
- Speaker: Noah
- Focus: Fine-tuning OpenAI’s GPT-4o mini model.
7. Assistants & Agents Build Hour
- Speaker: Ilan
- Focus: Techniques for orchestrating multi-assistant systems.
8. Fine-Tuning Build Hour
- Speaker: Shyamal
- Focus: Fine-tuning models, structuring them effectively, and best practices for evaluation.
9. Function Calling Build Hour
- Speaker: Joe
- Focus: Applications and best practices for OpenAI’s function-calling features.
10. Enhancing Recommendations with LLMs Build Hour
- Speaker: Max
- Focus: Tailored customization for improving recommendation systems with LLMs.
Key Features
- Hands-On Demos: Practical examples to enhance understanding.
- Best Practices: Tips and insights from OpenAI experts.
- Customer Examples: Real-world applications of the tools and APIs.
- Community Engagement: Opportunity to share feedback and request topics.
Access resources on GitHub: github.com/openai/build-hours
Source: Twitter