Part 5/10:
To maintain meaningful dialogue, older conversation snippets are incorporated into the prompt using a sliding window approach. This method involves:
Fetching recent exchanges from the data store.
Summarizing or extracting relevant information via NLP techniques.
Injecting this data into the prompt dynamically to provide context-aware responses.
The scratch pad concept is revisited here, highlighting its utility in simulating a form of persistent memory, which is essential for engaging and coherent long-term interactions.
Fine-Tuning the Model: Data and Prompt Engineering
Next, the focus shifts to customizing the AI through fine-tuning, aiming to replicate particular behaviors, such as detailed, knowledgeable responses. The key steps discussed include: