A great tip is to use Perplexity as a source for articles and other information, and then ask specific questions and cross-reference data in NotebookLM.
I would say it is similar but might have slightly different use cases. Claude’s projects feel to me a bit more like openai’s Custom GPTs (you can add files to those as well). NotebookLM seems like it excels at research, while the others might be better for specific workflows. I am messing with Claudes new features more this week. Stay Tuned ;)
this is a common question i keep getting. there are a few major differences. first the user experiences geared in a much more friendly way for finding insights and collecting notes. Secondly, the LM is grounded in the source material. That’s not the case with the custom GPT’s in that can be a major problem. Thirdly, I believe the rag system used to access. The sources is much better than custom GPT. It also supplies citations to exactly where in the source material it’s gathering its information.
