Oh man, I feel you on the learning curve. I’ve been using api dataset llm for a recommendation engine, and it’s been a mix of “wow this is amazing” and “why is it doing this?!”
One thing that helped me was using Weights & Biases for tracking experiments. It’s super easy to see what’s working and what’s not.
Also, if you’re worried about costs, check out AWS Lambda for scaling api dataset llm requests. It’s pay-as-you-go, so you don’t have to worry about overcommitting.
One thing that helped me was using Weights & Biases for tracking experiments. It’s super easy to see what’s working and what’s not.
Also, if you’re worried about costs, check out AWS Lambda for scaling api dataset llm requests. It’s pay-as-you-go, so you don’t have to worry about overcommitting.
