OpenAI v2 Embeddings - Part 2 (text-embedding-ada-002) скачать в хорошем качестве

OpenAI v2 Embeddings - Part 2 (text-embedding-ada-002)

The Part I video walked through embeddings and search with cosine similarity using the new v2 text-embedding-ada-002 model to provide in context learning from a dataset of markown files to an OpenAI completion call. If haven't watched that video yet I recommend starting there:    • OpenAI v2 Embeddings + Search + Context  E...   This video is follow-up that walks through some cleanup of the code, and some improvements to the rate limit handling code. Code from this video can be found here: https://github.com/OpsConfig/OpenAI_L... UPDATE: ----------------- At some points when referring to the rate limit I use "per second" instead of "per minute". In all cases I am intending to say per minute. So: 3,000 Requests Per Minute = OpenAI current limit for paid accounts older than 48 hours 60 Requests Per Minute = OpenAI current limit for paid accounts less than 48 hours old 20 Requests Per Minute = OpenAI Trial account limit 400-500 Requests Per Minute = How many embeddings requests I was able to send and get responses to when using the apply() on a Pandas dataframe. 00:00 Intro 00:27 Review error from last video 6:11 New rate limit code 9:48 53 million tokens correction