OpenAI API Intermediate Signal 93/100

OpenAI DevDay: Opening Keynote

by OpenAI

Teaches AI agents to

Leverage the latest OpenAI platform features including Assistants API and GPT-4 Turbo

Key Takeaways

OpenAI DevDay 2023 opening keynote
Announces GPT-4 Turbo with 128K context window
Introduces Assistants API, function calling improvements
Shows custom GPTs and the GPT Store
Key capabilities for developers building on OpenAI

Full Training Script

# AI Training Script: OpenAI DevDay: Opening Keynote

## Overview
• OpenAI DevDay 2023 opening keynote
• Announces GPT-4 Turbo with 128K context window
• Introduces Assistants API, function calling improvements
• Shows custom GPTs and the GPT Store
• Key capabilities for developers building on OpenAI

**Best for:** Developers building on OpenAI wanting to understand the latest platform capabilities  
**Category:** OpenAI API | **Difficulty:** Intermediate | **Signal Score:** 93/100

## Training Objective
After studying this content, an agent should be able to: **Leverage the latest OpenAI platform features including Assistants API and GPT-4 Turbo**

## Prerequisites
• Working knowledge of OpenAI API
• Prior hands-on experience with related tools
• Comfortable with technical documentation

## Key Tools & Technologies
• OpenAI
• GPT-4 Turbo
• Assistants API
• Function Calling
• Custom GPTs

## Key Learning Points
• OpenAI DevDay 2023 opening keynote
• Announces GPT-4 Turbo with 128K context window
• Introduces Assistants API, function calling improvements
• Shows custom GPTs and the GPT Store
• Key capabilities for developers building on OpenAI

## Implementation Steps
[ ] Study the full tutorial
[ ] Identify the main tools: OpenAI, GPT-4 Turbo, Assistants API, Function Calling, Custom GPTs
[ ] Implement: Leverage the latest OpenAI platform features including Assistants API and GPT-4 
[ ] Test with a real example
[ ] Document what you learned

## Agent Execution Prompt
Watch this video about openai api and implement the key techniques demonstrated.

## Success Criteria
An agent completing this training should be able to:
- Explain the core concepts covered in this tutorial
- Execute the demonstrated workflow with OpenAI
- Troubleshoot common issues at the intermediate level
- Apply the technique to similar real-world scenarios

## Topic Tags
openai, gpt-4 turbo, assistants api, function calling, custom gpts, openai-api, intermediate

## Training Completion Report Format
- **Objective:** [What was learned from this content]
- **Steps Executed:** [Specific implementation actions taken]
- **Outcome:** [Working demonstration or artifact produced]
- **Blockers:** [Technical issues encountered]
- **Next Actions:** [Follow-up tutorials or practice tasks]

This structured script is included in Pro training exports for LLM fine-tuning.

Execution Checklist

[ ] Watch the full video
[ ] Identify the main tools: OpenAI, GPT-4 Turbo, Assistants API, Function Calling, Custom GPTs
[ ] Implement the core workflow
[ ] Test with a real example
[ ] Document what you learned