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Biomni: A General-Purpose Biomedical AI Agent

github.com

1–10 of 43 posts

Re: Biomni: A General-Purpose Biomedical AI Agent

#2
Awesome! This is the type of stuff I'm most excited about with AI - improvements to medical research and capabilities. AI can be awesome at identifying patterns in data that humans can't, and there has to be troves of data out there full of patterns that we aren't catching.

Of course there's also the possibility of engineering new drugs/treatments and things, which is also super exciting.

Re: Biomni: A General-Purpose Biomedical AI Agent

#5
Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

Re: Biomni: A General-Purpose Biomedical AI Agent

#6

Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

I see it a bit differently - LLMs are an incredible innovation but it’s hard to do anything useful with them without the right wrapper.

A good wrapper has deep domain knowledge baked into it, combined with automation and expert use of the LLM.

It maybe isn’t super innovative but it’s a bit of an art form and unlocks the utility of the underlying LLM

Re: Biomni: A General-Purpose Biomedical AI Agent

#7

Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

[deleted]

Re: Biomni: A General-Purpose Biomedical AI Agent

#8

Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

> We’re seeing endless waves of specialized wrappers around LLM API calls.

AFAIK, doing proper RAG is much, much more than this.

What's your technical background if you don't mind me asking?

Re: Biomni: A General-Purpose Biomedical AI Agent

#9
post #8

Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

> We’re seeing endless waves of specialized wrappers around LLM API calls. AFAIK, doing proper RAG is much, much more than this. What's your technical background if you don't mind me asking?

I’m a software engineer in the biotech space. I haven’t worked with RAG though, maybe I’m underestimating the complexity.

Re: Biomni: A General-Purpose Biomedical AI Agent

#10
post #6

Not to take away from this or its usefulness (not my intent), but it is wild to me how many pieces of software of this type are being developed. We’re seeing endless waves of specialized wrappers around LLM API calls. There’s very little innovation happening beyond specializing around particular niches and invoking LLMs in slightly different ways with carefully directed context and prompts.

I see it a bit differently - LLMs are an incredible innovation but it’s hard to do anything useful with them without the right wrapper. A good wrapper has deep domain knowledge baked into it, combined with automation and expert use of the LLM. It maybe isn’t super innovative but it’s a bit of an art form and unlocks the utility of the underlying LLM

Exactly.

To present a potential usecase: there's a ridiculous and massive backlog in the Indian judicial system. LLMs can be let loose on the entire workflow: triage cases (simple, complicated, intractable, grouped by legal principles or parties), pull up related caselaw, provide recommendations, throw more LLMs and more reasoning at unclear problems. Now you can't do this with just a desktop and chatgpt, you need a systemic pipeline of LLM-driven workflows, but doing that unlocks potentially billions of dollars of value that is otherwise elusive.

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