GPT-4 scanned the entire frontend of my chatbot codebase for bugs and errors. Here's what happened and what I noticed... #openai #chatgpt #gpt4

Github repo to verify bugs and solutions: Here's what I noticed after running the same prompt 3 times: - Response speed is much slower than turbo - Context window is larger. - More accurate than previous models - Less variation of output

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@LangChainAI So, your codebase has only 1 file?

@LangChainAI Just “frontend”

@LangChainAI The drawback is that after many questions you reach token limit and it will start losing context.

@LangChainAI I created a thread of up to 20 questions and it still remembered context

@LangChainAI Never seen use "entire frontend" to be used for one small file. But I got it, you guys need to always use neural language programming to create out of nothing at least something, even if it's 1 second excitement followed by disappointment... The click is the new god

@LangChainAI 😂

@LangChainAI I remember helping a friend code a chatbot for English language back in the early 90's. Primitive Turing software. He was a mathematician & coder, at the top of the game.. and I had to help him understand how to translate English into usable code. This was not an easy task....

@LangChainAI @BarbieTwigz @evrsons

@LangChainAI But ChatGPT already can do it

@LangChainAI Nowhere near as accurate