September 2023 Summaries

Since late 2022, ChatGPT and Large Language Models (LLMs) have revolutionized AI technology, especially in the field of chatbots and content creation. However, concerns over data privacy arise from the potential risks of public hosted LLMs, prompting the need for a locally-hosted solution. The Retrieval Augmented Generation (RAG) architecture addresses this by using a vector database to integrate private data with LLMs, enhancing security for enterprises. This advancement is now feasible with a suite of open-source tools, including Llama 2, Epsilla, LangChain, and Streamlit, enabling developers to create a secure, locally-hosted ChatBot. These tools facilitate the rapid development of a ChatBot embedded with proprietary knowledge, ensuring data privacy and eliminating token costs while leveraging conversational AI benefits. The process, which once required significant resources, can now be achieved in a matter of hours, opening new opportunities for businesses to utilize AI technology securely and efficiently.