8. Openai financial advisor q&a embeddings - python tutorial openai question answering using embeddings. Канал: Part Time Larry - Категория: Новости Дня - Дата: 14.05.2024
OpenAI Embeddings and Vector Databases Crash Course
Автор: Adrian Twarog 365 779 просмотров
Learn how to use OpenAI Embeddings API for Question Answering with custom business data ChatGPT
Автор: Dewiride Technologies 3 424 просмотра
Question Answering from PDF using OpenAI ChatGPT API and GPT4ALL Library
Автор: Deepak John Reji 3 121 просмотр
5 OpenAI Embeddings API - Searching Financial Documents
Автор: Part Time Larry 133 880 просмотров
Фотографии
Ответы на вопросы:
How to use embedding in OpenAI?
The simplest way to use embeddings for search is as follows: 1 Before the search (precompute): Split your text corpus into chunks smaller than the token limit (8,191 tokens for text-embedding-3-small ) Embed each chunk of text. ... 2 At the time of the search (live compute): Embed the search query.
How to use OpenAI to answer questions?
When a user asks a question, turn it into a query embedding and use it to find the most relevant sections from your knowledge base. Use the relevant context from your knowledge base to create a prompt for the Chat Completions endpoint, which can generate an answer for your user.
How to use embeddings with GPT 4?
GPT-4 Chatbot Guide: Mastering Embeddings and Personalized Knowledge Bases 1 Scrape source data from the web, divide it into sections and store it as a CSV file. 2 Load the CSV file for further processing and set the correct indexes. 3 Calculate vectors for each of the sections in the data file, using the embeddings endpoint.