Doc - AI Binding - Your data, your AI (Page 2)

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A collection of 40 posts

Model - Google Gemini

Model - Google Gemini

Google Gemini Model Registration Documentation Introduction The Google Gemini model is a cutting-edge Large Language Model (LLM) designed to offer superior natural language processing capabilities. With options tailored for general-purpose and high-performance applications, Google Gemini provides flexibility and precision in AI-driven tasks. By integrating the Google Gemini model within AI

Model - Deepinfra

Model - Deepinfra

Deepinfra Model Registration Documentation Introduction The Deepinfra model is a powerful Large Language Model (LLM) offering a range of configurations to suit various enterprise needs. With support for multiple model variants and embedding models, Deepinfra provides flexibility and precision in natural language processing tasks. By integrating Deepinfra within AI Binding,

Model - Baidu Qianfan

Model - Baidu Qianfan

Baidu Qianfan Model Registration Documentation Introduction The Baidu Qianfan model is a state-of-the-art Large Language Model (LLM) designed to offer exceptional natural language processing capabilities. Unlike other LLMs, Baidu Qianfan provides unique advantages such as advanced contextual understanding and integration with Baidu's extensive ecosystem. By incorporating the Baidu

Model - Azure OpenAI

Model - Azure OpenAI

Azure OpenAI Model Registration Documentation Introduction The Azure OpenAI model distinguishes itself from other common Large Language Models (LLMs) through several key features and enhancements that provide robust and highly customizable natural language processing capabilities. By integrating Azure OpenAI into AI Binding, enterprises can leverage these unique advantages to significantly

Model - Anthropic Claude

Model - Anthropic Claude

Anthropic Claude Model Registration Documentation Introduction The Anthropic Claude model stands out from other Large Language Models (LLMs) with its emphasis on safety, interpretability, and robust natural language processing capabilities. With the release of version 1.0, AI Binding supports the registration and utilization of the Claude-2 model, which is

Components of AI Binding

Chatbot-Building Experiences: AI Binding provides a comprehensive suite of tools for building chatbots, each tailored to specific personas and tasks to ensure seamless integration and ease of use. The platform's key features include: 1. Model Registration: * Register your own LLM service provider API key to use their services

What is AI Binding?

What is AI Binding?

Overview AI Binding is an end-to-end solution platform for enterprises seeking a unified approach to working with Large Language Models (LLMs) such as ChatGPT, Google Gemini, Anthropic Claude, Meta Llama, and others. It offers a comprehensive suite of no-code tools for LLM registration, resource management, LLM-resource binding, and chatbot building.

Add ChatGPT4o Chatbot to Website with No Code

Add ChatGPT4o Chatbot to Website with No Code

Visit https://aibinding.com/. Click on the Sign in button on the top right corner to sign-in AI Binding portal. Click Log in / Sign up button to proceed. Use your favorite SSO provider to sign-up or sign-in. If it is the first time you signed in, wait until the auto-update

Embed trained chatbots to your websites in 2 minutes

Embed trained chatbots to your websites in 2 minutes

Chatbots created in AI Binding can be added to your company website or your enterprise software applications in a few steps. Chatbots can be a cost-effective way to improve your customer service and marketing efforts. 0:00 /0:48 1× Requirement(s) * Create a project either by * Constructing a chatbot

Create an Image Generation Chatbot in 2 minutes

Create an Image Generation Chatbot in 2 minutes

With a chatbot able to generate images, your team is saving the time and cost of hiring professional designers. Also, the generated images can inspire new ideas and perspectives of your design team. 0:00 /0:28 1× Requirement(s) * Registered an AI Model. In this post, we will reuse

Build a trained chatbot with your databases in 2 minutes

Build a trained chatbot with your databases in 2 minutes

Many organizations have stored structured data in the database and require software engineers to implement user interfaces to interact with the database. AI Binding allows end users to query the database data without the involvement of software engineers. 0:00 /0:52 1× Requirement(s) * Registered an AI Model. In

Build a trained chatbot with your documents in 3 minutes

Build a trained chatbot with your documents in 3 minutes

Knowledge is stored in your documents. AI Binding allows you to train AI with documents and helps you resolve problems with a few simple clicks. 0:00 /1:01 1× Requirement(s) * Registered an AI Model. In this post, we will reuse the one we registered in the post Build

Build a trained chatbot from the prompt library in 2 minutes

Build a trained chatbot from the prompt library in 2 minutes

ChatGPT can provide professional advice on a specific area by playing a role. In this post, ChatGPT acts as an SEO expert and provides us with some advice to develop an effective SEO strategy. Instead of writing the prompt, we will retrieve one from AI Binding prompt library. 0:00

Build OpenAI Chatbot in 1 minute

Build OpenAI Chatbot in 1 minute

AI Binding is a no-code platform that allows you to create your chatbot in a few clicks by registering OpenAI model and using a Binding