For complicated data extraction you need a robust library. The Kor Library (created by Eugene Yurtsev) is an awesome tool just for this. We are going to explore using Kor with a practical use case.
Link
In this research, we propose a novel task-driven autonomous agent that leverages OpenAI’s GPT-4 language model, Pinecone vector search, and the LangChain framework to perform a wide range of tasks across diverse domains.
Link
Great, we can see that the first thing the agent did was default to the “Lex Fridman DB” tool. The input to that tool was generated by the LLM, and is “What did Lex Fridman say about the future of AI?”.
Link
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question.
Link
In the past few years we have seen the meteoric appearance of dozens of models of the Transformer family, all of which have funny, but not self-explanatory, names. The goal of this paper is to offer a somewhat comprehensive but simple catalog and classification of the most popular Transformer models. The paper also includes an introduction to the most important aspects and innovation in Transformer models.
Link
To enable the functionality described here, select and install the Wolfram plugin from within ChatGPT.
Note that this capability is so far available only to some ChatGPT Plus users; for more information, see OpenAI’s announcement.
Link
