4 ms·
I'm working on research agents to help with economic, financial, and political research. These agents are open source (see: https://github.com/wgryc/emerging-tr
by cl42 3y ago
I'm working on research agents to help with economic, financial, and political research. These agents are open source (see: https://github.com/wgryc/emerging-trajectories https://github.com/wgryc/emerging-trajectories).
The use cases are pretty straight forward and low risk:
1. Run a Google web search.
2. Query a news API.
3. Write a document based on the above, while citing sources.
Here's an example of something written yesterday, where I'm forecasting whether July 2024 will be the hottest on record: https://emergingtrajectories.com/a/forecast/74 https://emergingtrajectories.com/a/forecast/74
This is working well in that the writeups are great and there are some "aha" moments, like the agent finding and referencing the The National Snow and Ice Data Center (NSIDC)... Very cool! I wouldn't have thought of it.
Then there's the part where the agent also tells me that the Oregon Department of Transportation has holidays during the summer, which doesn't matter at all.
So, YMMV, as they say... But I am more productive with these agents. I wouldn't publish anything formally without confirming and reviewing the content, though.
- Fuzzwah 3y ago> Then there's the part where the agent also tells me that the Oregon Department of Transportation has holidays during the summer, which doesn't matter at all I guess that the agent was influenced by results reported by the Oregon Dept of Transport and if they were all out on holidays and not releasing their weather info it would impact the proxy that is being used to determine if the temperature is higher. For me much of my interest in LLMs is these unexpected associations.
- Proven 3y ago[dead]