fast.ai openly declares it doesn't have complete pipelines for audio, especially ASR. They're also very open that areas like ASR and RL take a ton of compute t

fast.ai openly declares it doesn't have complete pipelines for audio, especially ASR. They're also very open that areas like ASR and RL take a ton of compute to replicate SOTA. This shouldn't be used to substantiate any sort of criticism of fast.ai the library since it is just wrappers on pytorch. Maybe on the course.fast.ai page they could make some sort of disclaimer that some areas like ASR and yet to achieve the quantum leap of performance that we've seen in other domains. I disagree completely that fast.ai is for toy problems. It's a development tool that in my experience provides for more rapid iteration than starting in vanilla pytorch. Use it for toys, for challenges, for research, or in industry. You can always rewrite your solution in pytorch once stable if there is benefit in doing so. I agree with others that fast.ai is a great place to start.