These are the best results that I've gotten from an AI research assistant.
I really don't mind the long latency, in fact, I think it's a fundamentally better way of interacting with this kind of LLM based tool.
Like the latency is necessary for the LLM to actually interact with the content, rather than just doing a Bing or Perplexity style RAG+summarization workflow that delivers very uneven results.
I also really like the use of longer prompts, as it encourages a full description of your topic, rather than keyword fiddling trying to make the RAG system pick up the right signifiers.
The "Discovery Progress and Exhaustiveness" section is a bit confusing as a user. Like, ok we have 23.6% of the relevant papers? Why not 100%? What am I supposed to do with that information? Can you give me any information about the missing papers?
Overall, very nice work, I'll be using this in the future.
I really don't mind the long latency, in fact, I think it's a fundamentally better way of interacting with this kind of LLM based tool.
Like the latency is necessary for the LLM to actually interact with the content, rather than just doing a Bing or Perplexity style RAG+summarization workflow that delivers very uneven results.
I also really like the use of longer prompts, as it encourages a full description of your topic, rather than keyword fiddling trying to make the RAG system pick up the right signifiers.
The "Discovery Progress and Exhaustiveness" section is a bit confusing as a user. Like, ok we have 23.6% of the relevant papers? Why not 100%? What am I supposed to do with that information? Can you give me any information about the missing papers?
Overall, very nice work, I'll be using this in the future.