There is OpenAI embedding API https://platform.openai.com/docs/guides/embeddings. How is this embedding related to the GPT3.5 transformer model architecture? Is it the vectors learned from the input embeddings part, which is the summation of word embedding and position embedding, at the end of model training?
Any tutorials or guidance will be helpful.
