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Missed opportunity to feed the transcripts to LLM and prompt it to clean it up, (remove stop words, stuff like that)? -> instant blog post to go with the talk.
by CraftingLinks 4y ago
Missed opportunity to feed the transcripts to LLM and prompt it to clean it up, (remove stop words, stuff like that)? -> instant blog post to go with the talk.
- delusional 4y agoI tried to get chat.openai.com to generate something interesting for the transcript linked to in another comment and it failed rather spectacularly. The transcript contains error for Rust (which becomes rest) and coreutils (which becomes corridors) making the output of the LLM useless. The LLM also seems to completely misinterpret the author when he speaks about working for Mozilla, omitting the part where he explicitly mentions that he's only saying this so that you wont associate this work with Mozilla. It also repeatedly gets confused about what the author is talking about, likely due to a small context size. It would be a very low quality blog-spam level blog post.
- arlort 4y agoI'm curious if you could use the transcript + something like the title/subtitle of the talk with chatgpt to fix the spelling mistakes
- delusional 4y agoInterestingly, If i give it the filename title "Rust Coreutils" it spots "the corridor -> coreutils", but if i provide the proper title of the talk "Reimplementing the Coreutils in a modern language (Rust) Doing old things with modern tools" it doesn't find any mistakes. Once again lending creadence to the observation that it doesn't actually "understand" since the proper title is quite clearly not markedly different (in relation to the transcription mistakes) from the filename title.
- CraftingLinks 4y agoI had something more basic in mind: Just clean up syntax without much, if any, semantic re-interpretations.