If you're eager to make your own, here's a step-by-step beginner's guide on how to create a custom GPT. Note: Building a custom GPT is available only to ChatGPT Plus and Enterprise users. Table of contents: What are GPTs? Advantages of custom GPTs How to create a custom GPT...
How to Create Custom GPTs That 10x Your Marketing Results Most marketers are missing a massive opportunity with custom GPTs. This comprehensive playbook breaks down exactly how to build AI assistants that automate marketing tasks, capture authentic brand voice, and scale output — all packaged into...
In this guide, we will explain how to set up your own custom chatbot in the GPT builder. We will also share some use case examples for custom GPTs, as well as their best practices.Download ChatGPT cheat sheetHow to Create a Custom GPT with OpenAI Examples of Useful Custom GPTs 1. ...
We'll guide you through the process of sharing your chatbots publicly or deploying them within an organization. Plus, with the launch of the OpenAI ChatGPT GPT Store, you'll be perfectly positioned to monetize your creations and earn a share of the sales, elevating your custom GPTs! So ...
https://youtu.be/5--JexprHukChatGPT has introduced a new option called GPTs. You can basically create custom ChatGPTs and train them with your own data and introductions, using the new GPT builder.It’, 视频播放量 88、弹幕量 0、点赞数 0、投硬币枚数 0、收
Create a custom GPT Use this option for UI access to your generated knowledge that you can easily share with others Note: you may need a paid ChatGPT plan to create and use custom GPTs right now Go tohttps://chat.openai.com/
At Zapier, we're pretty enthusiastic about using AI and automation together to help businesses make more of an impact. That's why we're thrilled to introduceAI Actions by Zapier, a handy addition to GPTs by OpenAI. The combination of the two allows you to build a custom GPT directly in...
(data_assets_json, ensure_ascii=False) return result_json from __future__ import annotations import psycopg2 import json from metagpt.tools.tool_registry import register_tool TAGS = ["Data Assets search", "查询数据资产"] @register_tool(tags=TAGS,include_functions=["__init__", "query_data...
from metagpt.tools.tool_registry import register_tool TAGS = ["数据资产"] @register_tool(tags=TAGS) def query_data_assets(keyword: str ): """ 检索数据资产相关的信息,包括表名、标签、备注等. """ conn_params = { 'host': '127.0.0.1', # 数据库服务器地址 ...
As explained in GPT Understands, Too, minor variations in the prompt template used to solve a downstream problem can have significant impacts on the final accuracy. In addition, few-shot inference also costs more due to the larger prompts....