Where is ChatGPT's limit? How can it create a unique barrier when developing native AI applications?

@oleksandr_koreniuk In fact, I have seen at least two methods on GitHub to solve the input length problem: one is to build a side vector database to store knowledge, and bring the data related to the request each time; the other is to enter in segments, summarizing the previous content and adding the current content each time. I believe that the length problem will be solved. 💪

@blueeon if you would make it to modify source code repositories - you are gold. Right now , as far as i learnt, for current state of algorithms there is not enough compute power on earth for medium size source code repositories

@oleksandr_koreniuk Your statement is not wrong. The two methods i mentioned have optimized the input and do not require complete knowledge to obtain answers in a Q&A scenario. There is a technique called Embeddings, and OpenAI provides an API for Embeddings, which can be used to create side vector databases. Another practical example is Stripe, which used GPT-4 to enhance the natural language search capability of its development documentation: https://docs.google.com/forms/d/.... I hope this can be helpful for your reference.