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We focus mainly on external use cases (e.g., helping companies like Docker and Monday.com deploy customer facing "Ask AI" assistants) so we don't run into much

We focus mainly on external use cases (e.g., helping companies like Docker and Monday.com deploy customer facing "Ask AI" assistants) so we don't run into much of that given all data is public. For internal use cases that require user level permissions that's a freaking rabbit role. I recently heard someone describe Glean as a "permissions company" more so than a search company for that reason. :)

3abiton 2y ago
> fine-tuning a model on tool usage could also allow it to gain familiarity with specific retrieval mechanisms. I am curious if finetuning on specific usecases would outperform RAG approaches, assuming the data is static (say company documentation). I know there has been lots of posts on this, but yet to see quanitifications, especially with o3-mini.