I see you've had to suggest this a few times in this thread, and in my experience I would agree with the suggestion. I wonder if you can have a simple gpt model decide automatically when ignoring search results would improve the result and do it automatically.

Interesting idea.

I tried with that option enabled and now it can't generate code at all. Here's my prompt:

``` You are given an array prices where prices[i] is the price of a given stock on the ith day.

Find the maximum profit you can achieve. You may complete at most two transactions.

Note: You may not engage in multiple transactions simultaneously (i.e., you must sell the stock before you buy again).

Write Python code to solve this: def maxProfit(self, prices: List[int]) -> int: ```

Output:

``` It seems like you want to find the maximum profit that can be achieved by buying and selling stocks, with the constraint that you can only make at most two transactions. Is that correct?

Could you please provide some example input and output to help me better understand your requirements? ```

I also tried a more basic prompt, but the output is not what I'd consider good code.

Can you maybe share some examples where we can see how it exceeds GPT-4's capabilities? Thanks!

Seemed to work well just now: https://www.phind.com/search?cache=w1jyatqyia1a8r3pfxlxqby6

In my own RAG implementations in the industrial sector, I've found it effective to first have the AI decide whether it needs to search at all. If it doesn't, the answers are much better.