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Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to... minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.show more

Sam Rodriques

22,302 subscribers

62,015 次观看 • 10 个月前 •via X (Twitter)

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11 条评论

Sam Rodriques 的头像

Sam Rodriques10 个月前

Try it on our platform, under the Analysis tab: Read about it here, including benchmark results etc.:

Edison Scientific, Inc 的头像

Edison Scientific, Inc10 个月前

Edison Analysis is great when you want to run a specific analysis and have a clear idea of what you want to do. By contrast, Kosmos is best at deep, open-ended exploration. Try it out.

Danilo Vieira 的头像

Danilo Vieira10 个月前

I am having dificulties to gain free credits in my account

Karan Jagtiani 的头像

Karan Jagtiani10 个月前

Which data retrieval tool does Edison Analysis use exactly? Curious about its integration.

Haris Jan 的头像

Haris Jan10 个月前

seems interesting, will try it for sure

Tobias Straub 的头像

Tobias Straub10 个月前

(how) do you integrate metadata?

Ak afridi 的头像

Ak afridi10 个月前

Great!

Jiehoon Kwak 的头像

Jiehoon Kwak10 个月前

Interesting! which model does it use for code generation?

Richard Racer 的头像

Richard Racer10 个月前

Exciting updates! The efficiency of Edison Analysis compared to Kosmos is impressive. The ability to retrieve data quickly and produce reproducible reports is a game changer for researchers. Looking forward to seeing the continued evolution! 🚀

mitchell 的头像

mitchell10 个月前

Awesome! For non-bioinformaticians, this removes the bottleneck in accessing and analysing data in Python/R. I can see it been super useful for checking new hypotheses that the authors didn't think about or verifying the author's claims independently.

Lyle Burdine 的头像

Lyle Burdine10 个月前

Nice platform

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