Summary: Lion's Den – April 25, 2025
Threadcast link:
https://inleo.io/threads/view/taskmaster4450/re-leothreads-2ditybkxb?referral=taskmaster4450
Link to recording:
https://x.com/taskmaster4450/status/1915812095397974233
Speakers
DISCLAIMER: The following has been generated by AI based on the publicly available recording of the livestream. Because the content is AI generated it may contain errors, so please keep that in mind when reading. Feel free to suggest corrections and/or add additional information/improvements in the comments. Read more: Introduction post for the AI Summaries project
Introducing Rafiki - An AI Agent for the Leo Ecosystem
The main focus of this episode was the introduction and discussion of Rafiki, a new AI agent that has been integrated into the Leo ecosystem. Rafiki is designed to serve as a conversational interface where users can ask questions and receive responses based on the information available in the Leo documentation.
Rafiki's Capabilities and Limitations
Rafiki is not a full-fledged chatbot, but rather an agent built on top of the Llama language model. It has several key limitations:
Character Limit: Rafiki provides responses in the form of threads, which means it is constrained by the character limit per tweet. This limits its ability to provide detailed, in-depth answers.
Outdated Knowledge: Rafiki is based on an older version of the Llama model, which means its knowledge is only current up to a certain point in time, approximately 2 years ago. This can result in Rafiki providing outdated or inaccurate information on recent events or developments.
Bias Towards Leo: Rafiki is heavily biased towards answering questions related to the Leo ecosystem, cryptocurrency, and blockchain technology. It may struggle to provide satisfactory responses on topics outside of its core focus areas.
No Real-Time Updating: Rafiki does not have the capability to pull in real-time information from the internet. Its knowledge base is static and can only be updated through user feedback and interactions.
Rafiki as a Feeder System for LeoAI
Despite its limitations, Rafiki is seen as an important step in the development of the broader AI capabilities within the Leo ecosystem. It is considered a "feeder system" for the upcoming LeoAI model, which is expected to be more advanced and capable of handling a wider range of queries and tasks.
The interactions with Rafiki, including the questions asked and the feedback provided, are being used to help train and improve the LeoAI model. As users engage with Rafiki, the data is being fed into the vector database that is powering the LeoAI development.
Future Enhancements and Multimodal Capabilities
The discussion also touched on the potential for Rafiki to be enhanced with additional capabilities, such as the ability to process and respond to visual information (images, graphs, etc.). This would require significant investment in terms of compute power and training data, but could greatly expand the agent's usefulness and versatility.
Overall, Rafiki is viewed as an important stepping stone in the ongoing efforts to build robust AI capabilities within the Leo ecosystem. While it has its limitations, the feedback and interactions generated through Rafiki will play a crucial role in shaping the development of the more advanced LeoAI model in the future.
Posted Using INLEO