Fixing "Goldfish Memory" with GPT-3 and External Sources of Information in a Chatbot

Explore techniques for enhancing chatbot memory and information retrieval in this 54-minute video tutorial. Learn how to build a chatbot that queries Wikipedia, search conversation transcripts, generate Google search queries using GPT-3, and extract relevant information from external sources. Discover methods for creating follow-up questions, cutting long conversations, and addressing the challenges of incorporating background information into AI models. Gain insights into the complexities of developing more intelligent and context-aware chatbots, with practical examples and discussions on the limitations of current AI technologies.

- Long-term chat with external sources
- Building a chatbot that queries Wikipedia
- Building a chatbot
- Searching a conversation for a specific word
- Searching for similar lines in a conversation
- Searching a conversation transcript for a specific word
- Sound dampening and the try-accept loop
- Cutting off a long conversation
- The impossibility of containing a superintelligence
- Using GPT3 to generate a list of Google search queries
- Creating a chatbot with gpt3
- Using GPT-3 to answer questions about Romulus Augustus
- The difficulty of asking the right questions
- Searching for follow-up questions to add to the conversation
- Generating a follow-up question based on a Wikipedia article
- Generating a search query to find an external article
- Cutting up a passage to answer a question
- Extracting information from a Wikipedia article
- The Last Emperor
- The question asked was
- Creating a chatbot with Auto Muse
- The need for a model that incorporates background information