How to build a chatbot using open-source LLMs like Llama 2 and Falcon

Open-source large language models have made chatbot development more accessible for applications such as customer service, healthcare, and document-based question answering. The tutorial demonstrates building a basic chatbot with Lit-GPT, LangChain, and the instruction-tuned LongChat model, using a prompt template that directs the model to provide helpful and polite responses and loading the model with 4-bit quantization to reduce GPU memory requirements. Because LLM calls are stateless, the example addresses conversational continuity by including prior exchanges in each new prompt, with LangChain’s PromptTemplate, ConversationChain, and ConversationBufferMemory managing and updating chat history. The approach can be extended beyond simple conversations by retrieving relevant documents or database information and supplying that material as context for answers. The post notes that its Lit-GPT code may be outdated and recommends consulting the official repository for current examples.

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