Hey there, fellow tech enthusiasts! I’m excited to share with you a project that I’ve been working on – an LLM Context Manager, an innovative inference optimization system designed for conversations. The goal is to smartly manage the context that’s fed into the model, ensuring that it only receives the necessary information to answer a prompt. This approach prevents context pollution or context rot, which can lead to inaccurate responses.
The LLM Context Manager uses a novel algorithm called Contextual Scaffolding Algorithm (CSA) and branching to optimize the conversation flow. By doing so, it enables the model to focus on the relevant context, resulting in more accurate and efficient responses.
I’d love to hear your thoughts and feedback on this project. You can check it out on GitHub and explore how it can improve conversational AI. The potential applications are vast, from chatbots to virtual assistants, and I’m excited to see where this technology can take us.
What do you think about the future of conversational AI? Share your thoughts in the comments below!