Leveraging LMs for Pattern Recognition

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The focus is on utilizing LMs for pattern recognition in scenarios where the tool or data signature is unknown. The work involves using Leng chain, an open-source toolkit, through an open source package called plate chain. This package offers examples for reference and a Leng chain configuration to process semi-structured data and identify structured data coordinates. These coordinates can be used to extract data and transform it into a structured table or for other specific ends, based on individual requirements.

Sphinx Bio develops computational tools to accelerate scientific discovery. The company is focused on addressing the computational data analysis bottleneck by enabling scientists to do the analysis themselves.

Nicholas Larus-Stone is the founder of Sphinx. He joins the show to talk about being a computer scientist at the interface with biology, the data analysis bottleneck in biology, designing a software tool for scientists, their go-to-market strategy, and more.

Nicholas also started Bits in Bio which is a popular community for people building software for science. You can check out their upcoming meetups and hackathons at bitsinbio.org.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .