Dialogflow vs ChatGPT
I have seen many people ask if ChatGPT makes Dialogflow irrelevant (or something to that effect).
But they are not just very different tools, they also target different audiences in my opinion.
Here is a comparison:
| Dialogflow | ChatGPT (OpenAI API) |
| Can only answer questions defined in your intentsBoth Dialogflow ES and Dialogflow CX have the concept of int... More | Can answer nearly any question |
| Need to provide a lot of training phrases | Fairly good question answering ability out of the box, but may not be best suited for your business domain |
| Will not hallucinate in its response (Generative Dialogflow CX is an exception) | Sometimes does hallucinate in its response |
| Easier to measure accuracy | Harder to measure accuracy |
| Easier to improve accuracy | Quite hard to improve accuracy |
| Easier to use for non-programmers | Much harder for non-programmers to use |
Some additional notes:
For generative tasks, Generative Dialogflow CX is decent but not as good as OpenAI API.
Non-programmers can train Generative Dialogflow CX to perform information extraction. This is not easy to do using ChatGPT API.
To summarize:
ChatGPT is much more powerful than Generative Dialogflow CX
Dialogflow CX offers a good tradeoff between ease of use and power.
In some scenarios, Dialogflow ES is sufficient (and nearly free since it has a very generous free tier)
Note: This is my old website and is in maintenance mode. I am publishing new articles only on my new website.
If you are not sure where to start on my new website, I recommend the following article:
Is Dialogflow still relevant in the era of Large Language Models?