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The paper mentioned was submitted in May. I think encoder-decoder architectures still make a lot of sense for multimodal models. There are still many low hangi
by isaacfung 3y ago
The paper mentioned was submitted in May. I think encoder-decoder architectures still make a lot of sense for multimodal models.
There are still many low hanging fruits. I have probably seen dozens of variations of chain-of-thoughts, tree-of-thoughts, graph-of-thoughts, self-ask, self-critique, self-plan, self-reflect, etc.
- shanusmagnus 3y agoIs there a paper, or some other source, that synthesizes this grab-bag of techniques? As an interested outsider, it's hard to keep up with all the action. Would appreciate any pointers that try to bring some of the pieces together.
- deleted 3y ago[deleted]
- martingoodson 3y agoWe discussed this at our meetup last night. See here for paper reference and subscribe to get an alert when the recording is uploaded: https://www.meetup.com/london-machine-learning-meetup/events/295928138/ https://www.meetup.com/london-machine-learning-meetup/events...
- shanusmagnus 3y agoThank you for that. I wonder if you'd be able to just post a link to the paper, or give its title? I didn't have a Meetup account, tried to create one, spent 4 minutes dicking with it, and still can't get it to let me in.
- martingoodson 3y agoSorry! Here's the paper https://arxiv.org/abs/2307.10169 https://arxiv.org/abs/2307.10169
- isaacfung 3y agohttps://github.com/WooooDyy/LLM-Agent-Paper-List#114-reasoning--planning https://github.com/WooooDyy/LLM-Agent-Paper-List#114-reasoni...