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

Explore the intricacies of building a long-term chatbot with enhanced memory capabilities in this comprehensive video tutorial. Delve into topics such as creating a Wikipedia chatbot, implementing cognitive architecture, fine-tuning models for external information integration, and utilizing hints for accurate responses. Learn techniques for generating questions and answers, debugging dialogue systems, and understanding different types of OpenAI embeddings. Gain insights into particle physics concepts as demonstrated through chatbot interactions, including discussions on particles, waves, and gravitational effects. Discover the challenges involved in developing a flawless chatbot and strategies for improvement.

- Building a long-term chatbot part 2
- Wikipedia chatbot
- The need for a cognitive architecture in chatbots
- Fine-tuning a model to integrate external information
- Using hints to give accurate answers
- Chatbot Hints
- Generating questions and answers with a chatbot
- Creating a chatbot
- Debugging a dialogue line printing program
- The different types of open AI embeddings
- Debugging the external information retrieval
- Debugging a chatbot
- Particle physics and the containment of a superintelligence
- Fixing the chatbot
- Chatbot teaching about particle physics
- The difference between particles and waves
- The difference between a particle and a wave
- The effect of gravity on particles
- The difficulty of creating a perfect chatbot