Chatvolt
Crie Gratuitamente um agente de inteligência artificial para seu site ou WhatsApp
Summary
The video introduces the process of creating a chatbot agent using artificial intelligence with a focus on the Chatbot free plan. It discusses selecting the Gemini Pro model with a response variability of 0.2 to 0.5 and the importance of adding instructions to eliminate possibilities of hallucinations. The video also covers creating prompts, training the chatbot agent by building a knowledge base, connecting to APIs, and uploading files like Word documents to enhance the agent's knowledge. It emphasizes the significance of user prompts in chatbot conversations and concludes with testing the chatbot and overviewing knowledge base, models, and prompt settings.
Creating a Chatbot Agent
In this chapter, the process of creating a chatbot agent using artificial intelligence with the Chatbot free plan is explained. It covers naming the agent and selecting the model.
Choosing the Model
This section discusses the options available for models in the free plan, specifically selecting the Gemini Pro model with a response variability of 0.2 to 0.5.
Knowledge Base Responses
The chapter explores the option of adding instructions to the chatbot for eliminating possibilities of hallucinations, and the impact of instructions on different LLMs.
Formatting and Language Options
Details about including formatting options and choosing the language in which the chatbot should respond, allowing for multilingual capabilities.
Setting up the Chatbot Prompt
Explanation of the importance of the chatbot prompt, its contents, and distinguishing it from the knowledge base. The process of creating a prompt using templates is also covered.
Saving Prompts and User Inputs
Guidance on creating and saving prompts, copying them for future use, and the significance of user prompts in the chatbot conversations.
Training the Agent
Instructions on training the chatbot agent by creating a knowledge base, connecting to APIs, and utilizing extra conversational features like marking inquiries as resolved automatically.
Creating Data Stores
Demonstration of creating data stores by uploading files such as Word documents and Excel sheets containing company information, products, and services to train the agent.
Enhancing Training with Contact Information
Recommendation to include contact information in the training data to reinforce explicit information for the chatbot, followed by scanning a website for content to enhance agent knowledge.
Testing and Final Setup
Final steps of testing the chatbot within the system, overviewing the created knowledge base, models, and prompt settings, and concluding the tutorial.