Скачать или смотреть OPENAI ASSISTANTS API WITH FUNCTION CALLING TUTORIALS

OPENAI ASSISTANTS API WITH FUNCTION CALLING TUTORIALS
#langchain #promptemplates #openai #pinecone #vectordatabase #gpt4

Assistants API Beta

The Assistants API allows you to build AI assistants within your own applications. An Assistant has instructions and can leverage models, tools, and knowledge to respond to user queries. The Assistants API currently supports three types of tools: Code Interpreter, Retrieval, and Function calling. In the future, we plan to release more OpenAI-built tools, and allow you to provide your own tools on our platform.

You can explore the capabilities of the Assistants API using the Assistants playground or by building a step-by-step integration outlined in this guide. At a high level, a typical integration of the Assistants API has the following flow:

Create an Assistant in the API by defining its custom instructions and picking a model. If helpful, enable tools like Code Interpreter, Retrieval, and Function calling.
Create a Thread when a user starts a conversation.
Add Messages to the Thread as the user ask questions.
Run the Assistant on the Thread to trigger responses. This automatically calls the relevant tools.


ChatGPT is a large language model developed by OpenAI. It is trained on a diverse range of internet text and is able to generate human-like responses to a wide variety of prompts. It is based on the GPT (Generative Pre-training Transformer) architecture.

In this video, we introduce you to ChatGPT, a powerful language model developed by OpenAI. This model is trained on a diverse range of internet text and is able to generate human-like responses to a wide variety of prompts. With the help of ChatGPT, you can easily create your own AI-powered chatbot for customer service, e-commerce, or any other application that requires natural language understanding. The video demonstrates the capabilities of ChatGPT by showcasing examples of its usage and its ability to understand and respond to different prompts. We also show you how to integrate ChatGPT into your own applications. Don't forget to subscribe to our channel for more AI-related content and updates on the latest advancements in this field.

#Pinecone vector database
#Pinecone AI
#Pinecone vector search
#Pinecone vector indexing
#Pinecone vector similarity search
#Pinecone vector storage
#Pinecone vector retrieval
#Pinecone vector database service
Pinecone vector database tutorial
Pinecone vector database use cases
Pinecone vector database API
Pinecone vector database performance
Pinecone vector database benchmarks
Pinecone vector database integration
Pinecone vector database scalability

#chatgpt
#OpenAI
#LanguageModel
#NaturalLanguageProcessing
#AIchatbot
#ConversationalAI
#MachineLearning
#NLP
#GPT
#GenerativeModel
#AITechnology
#ConversationalAgents
#AI-poweredChatbot
#languagegeneration

CODE HERE: https://github.com/donwany/openai-tut...