GPT Actions: A Comprehensive Review

🎙️ Why You Should Tune In:


🔎 Discussion Highlights:

The Evolution of GPT Actions: We’ll start by revisiting the early days of GPT Actions, discussing the challenges users faced with latency and incomplete outputs. From there, we’ll explore what has changed—has OpenAI addressed these issues, and if so, how effectively?

Exploring the Cookbook: The recent addition of a comprehensive cookbook offers guidance on how to use GPT Actions more effectively. We’ll dive into this resource, highlighting some of the most useful recipes and tips for getting the best results from GPT Actions.

Live Demos and Testing: To provide a real-world perspective, we’ll conduct live demonstrations of GPT Actions during the show. We’ll test a variety of tasks, from simple to complex, and see how the system performs. Expect honest feedback as we showcase the good, the bad, and the unexpected.

Comparing GPT Actions to Alternatives: How do GPT Actions stack up against other AI tools and systems currently on the market? We’ll compare their performance and utility to alternatives, providing insights into where they excel and where they might fall short.

What’s Next for GPT Actions?: Finally, we’ll discuss the future of GPT Actions. What improvements are still needed, and what might we expect in future updates? We’ll also consider how these tools could fit into broader AI-driven workflows as they continue to develop.

[seandiamond]

So if I'm understanding this correctly, I can create a api backend with access to my database of financial data, and this will allow chatgpt to query my database. Like a RAG for databases?