sometimesanotion/agoramix-14b-reason
Text Generation
•
Updated
Daniel Rollings
sometimesanotion
AI & ML interests
None yet
Recent Activity
updated
a model
about 1 hour ago
sometimesanotion/agoramix-14b-reason
liked
a model
1 day ago
MadeAgents/Hammer2.0-7b
liked
a model
1 day ago
lamm-mit/Bioinspired-SmolLM-1.7B-Instruct
Organizations
None yet
sometimesanotion's activity
updated
a
model
about 1 hour ago
liked
2
models
1 day ago
Fascinating model, a question
#1 opened 6 days ago
by
sometimesanotion
sometimesanotion
upvoted
a
paper
6 days ago
isr431
Joseph717171
liked
2
models
12 days ago
liked
a
model
18 days ago
Upload ONNX weights
1
#1 opened 23 days ago
by
Xenova
Xenova
updated
a
model
about 1 month ago
Multilingual, Uncensored and extensive vocabulary.
5
#4 opened about 1 month ago
by
Kukedlc
Kukedlc
liked
a
model
about 1 month ago
updated
a
model
about 1 month ago
liked
2
models
about 1 month ago
Reacted to
fdaudens's
post with 🔥
about 2 months ago
Post
1971
This is how AI can be useful in journalism: Just tested DataTalk - a tool that lets you dig through campaign finance data with just your words.
It's transforming complex FEC filings and OpenSecrets datasets into actionable insights for journalists.
Key features for newsrooms:
- Natural language queries on FEC data
- Rapid insights on donors, spending, special interests
- SQL access for deep dives
Tested it out:
- Retrieved how much Harris and Trump raised
- Found top donors instantly (#1 is Timothy Mellon—have you heard about him?)
- Uncovered big self-funders like David Trone ($62M)
Pros:
- Saves hours of data wrangling
- Surfaces story leads quickly
- Transparent AI retrieving steps makes this tool auditable
Awesome work by Stanford University Open Virtual Assistant Lab, Big Local News, and Columbia University - Graduate School of Journalism. Expert-guided.
Remember: Always verify. Use for leads, not final copy. But this is gold for finding new leads.
How might this change campaign finance reporting? What other datasets need this treatment?
Try it out: https://www.datatalk.genie.stanford.edu/
#AIJournalism #campaignfinance #datajournalism #election2024
It's transforming complex FEC filings and OpenSecrets datasets into actionable insights for journalists.
Key features for newsrooms:
- Natural language queries on FEC data
- Rapid insights on donors, spending, special interests
- SQL access for deep dives
Tested it out:
- Retrieved how much Harris and Trump raised
- Found top donors instantly (#1 is Timothy Mellon—have you heard about him?)
- Uncovered big self-funders like David Trone ($62M)
Pros:
- Saves hours of data wrangling
- Surfaces story leads quickly
- Transparent AI retrieving steps makes this tool auditable
Awesome work by Stanford University Open Virtual Assistant Lab, Big Local News, and Columbia University - Graduate School of Journalism. Expert-guided.
Remember: Always verify. Use for leads, not final copy. But this is gold for finding new leads.
How might this change campaign finance reporting? What other datasets need this treatment?
Try it out: https://www.datatalk.genie.stanford.edu/
#AIJournalism #campaignfinance #datajournalism #election2024
liked
a
model
about 2 months ago
liked
a
model
2 months ago
