Harnessing Large Language Models with Gradio
Explore how to enhance Gradio chatbots by integrating large language models from Hugging Face. Understand tokenization, conversation management, and model constraints to create responsive conversational agents.
We'll cover the following...
Large language models (LLMs)
In this lesson, we will enhance the chatbot by using a large language model (LLM) for agent responses. LLMs are state-of-the-art approaches for natural language use cases, and are trained on huge datasets to be able to understand the nuances of human language. ChatGPT is a famous example of one such LLM, however, there are many other LLMs that have been built and tailored for different use cases. For example, we have tasks such as translation, question and answering, summarization, and conversation just to name a few. In this lesson, we will see how we can leverage an LLM to create our chatbot.
Building a chatbot: Integration with LLM
In this example, we will replace the agent’s response in the chatbot with those generated by an LLM.
We will be using a pre-trained LLM from Hugging Face. For ...