Open Source LLM: Falcon 40B Chatbot for LangChain

Key insights

• 🚀
  Despite being a 40 billion parameter model, the Falcon 40b outperforms several 65 billion parameter models, showcasing its impressive performance capabilities.
• 🚀
  The model takes a while to initialize, indicating that it is a large and complex model.
• 🧠
  The use of a conversational memory allows the chatbot to remember the previous five interactions between the user and itself, enhancing the conversational experience.
• 🧹
  The Falcon 40B chatbot provides a cleaned up version of the conversation prompt, eliminating unnecessary white space and the appended human string.
• 🔄
  Falcon 40b chatbot was able to correct its own error and generate the same output as Chat GPT with a little more prompting.
• 🤔
  Falcon 40b, an open source model, has the potential to outperform GPT 3.5 in coding refactoring tasks, which is impressive considering it runs on a single GPU.
• 🧩
  The use of an output parser approach could potentially help improve the agent's ability to generate desired outputs.
• 💪
  The Falcon 40b instruct model shows promise for building chatbots, with the potential for even larger models in the future.