Chat GPT Powered Teams Private Virtual Agent
Demo based on Amazon Delivery Info here Full Private Virtual Agents are great, the lates update to its NLP and auto topic creation make it incredibly powerful.
The latest update to Private Virtual Agents employing Chat GPT enhances their power significantly. However, their usage is often restricted due to high license and usage costs. For multiple knowledge article chatbot bots, alternatives like Power Apps and Power Virtual Agents for Teams are preferable.
Despite the restricted AI Builder or Custom Connector access in Teams Dataverse environments, Power Apps hold superior capacity for creating intelligent chatbots compared to PVA. Microsoft has now enabled a workaround to utilize the Chat GPT functionality, though some issues persist:
- Security aspect is not robust.
- Although currently free, potential usage costs may apply.
- The model is based on Azure GPT, not OpenAI (though the difference is minimal).
The solution comprises of several key components:
- Front End
- GPT integration
- Data Modelling
- End to End Solution
Digging Deeper
On a surface-level understanding, the primary hindrance is the high associated costs, which makes exploring other avenues like Power Apps and Power Virtual Agents more viable for creating intelligent chatbots. The workaround provided for Chat GPT functionality also leads to concerns on the security front and possible future costs, while the model is Azure GPT based.
The four-part solution provided, helps to navigate these issues and develop a more effective means of employing Private Virtual Agents.
Read the full article Chat GPT Powered Teams Private Virtual Agent
Learn about Chat GPT Powered Teams Private Virtual Agent
Learning about Chat GPT Powered Teams Private Virtual Agent can provide insight into how to leverage powerful chatbot capabilities using Power Apps and Power Virtual Agents for Teams. To create an intelligent chatbot, there are a few considerations to keep in mind. Security is an important factor, and although usage is free at the moment, there is a usage cost associated. Additionally, the Azure GPT model is used in this solution, not OpenAi, though the difference is minimal. To build this solution, four components must be considered: the front end, GPT integration, data modelling, and the end to end solution. Front end development involves creating the user interface and ensuring users can interact with the chatbot. GPT integration is necessary to enable the chatbot to use natural language processing and auto topic creation. Data modelling is used to enable the chatbot to interact with users in a natural way. Lastly, the end to end solution involves creating a complete product that implements all the components discussed.
More links on about Chat GPT Powered Teams Private Virtual Agent
Keywords
Chatbots, Power Apps, Power Automate, Power Virtual Agents, Azure GPT