Hey :)
Looking at some of the engineering projects (which is closest to my field) :
API Development: Create a RESTful API using Flask or FastAPI to serve the summarization models.Caching: Implement a caching mechanism to store and quickly retrieve summaries for previously seen papers.Asynchronous Processing: Use message queues (e.g., Celery) for handling long-running summarization tasks.Containerization: Dockerize the application for easy deployment and scaling.Monitoring and Logging: Implement proper logging and monitoring to track system performance and errors.
API Development: Create a RESTful API using Flask or FastAPI to serve the summarization models.
Caching: Implement a caching mechanism to store and quickly retrieve summaries for previously seen papers.
Asynchronous Processing: Use message queues (e.g., Celery) for handling long-running summarization tasks.
Containerization: Dockerize the application for easy deployment and scaling.
Monitoring and Logging: Implement proper logging and monitoring to track system performance and errors.
I’m guessing Claude 3.5 Sonnet could do these things, probably using 1 prompt for each (or perhaps even all at once).
Consider trying, if you didn’t yet. You might not need any humans for this. Or if you already did then oops and never mind!
Thanks for saving the world!
I just saw this; thanks for sharing! Yup, some of these should be able to be solved quickly with LLMs.
Hey :)
Looking at some of the engineering projects (which is closest to my field) :
I’m guessing Claude 3.5 Sonnet could do these things, probably using 1 prompt for each (or perhaps even all at once).
Consider trying, if you didn’t yet. You might not need any humans for this. Or if you already did then oops and never mind!
Thanks for saving the world!
I just saw this; thanks for sharing! Yup, some of these should be able to be solved quickly with LLMs.