Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Jupyter Agents - LLMs running data analysis directly in a notebook! The agent can load data, execute code, plot results and following your guidance and ideas! A very natural way to collaborate with an LLM over data and it's just scratching the surface of what's possible soon!

200,291 Aufrufe • vor 1 Jahr •via X (Twitter)

9 Kommentare

Profilbild von Leandro von Werra
Leandro von Werravor 1 Jahr

Or watch how the model solves the Lokta-Volterra equation and plots the results and refines them. Try it out:

Profilbild von Nivge
Nivgevor 1 Jahr

Here's a jupyter agent for notebooks in VS-Code: Works really good

Profilbild von نعمت | Nemat
نعمت | Nematvor 1 Jahr

Please checkout my automated kaggle challenge solver it hasl lots in common:

Profilbild von Thomas Capelle
Thomas Capellevor 1 Jahr

Seems very similar to what Jeremy is using in the course (cc. @jeremyphoward )

Profilbild von Fabrizio Milo
Fabrizio Milovor 1 Jahr

Is it an extension for jupyter or does he has some specialized training to interact with jupyter?

Profilbild von Saquib Mehmood
Saquib Mehmoodvor 1 Jahr

Bro, even my own self-developed AI copilot does it using a local model. So thanks, anyways.

Profilbild von Fatih
Fatihvor 1 Jahr

Is it open source?

Profilbild von Léo - eu/acc
Léo - eu/accvor 1 Jahr

My job is over

Profilbild von Maxime Rivest 🧙‍♂️🦙
Maxime Rivest 🧙‍♂️🦙vor 1 Jahr

Very similar to jupyter-whisper a. Excited to check it out!

Ähnliche Videos

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.

Sam Rodriques

62,015 Aufrufe • vor 10 Monaten