A visualization I made that gives a visual intuition to how I think about prompting LLMs and navigating the latent space during a conversation.
Some takeaways from thinking about prompting in this way:
✨ Prompts as Navigational Forces: Each prompt acts as a directional force, guiding the model's trajectory through this space.
✨ Fractal Trajectory Path: The conversation history forms a detailed path, creating a rich and evolving dialogue.
???? Navigating the Latent Space with Strategic Initial Prompts:
▪️ Set clear, specific goals to guide the model to the right region of the latent space.
▪️ Provide necessary background information to anchor the conversation and avoid ambiguity.
▪️ Ask open-ended questions to explore broader areas before narrowing down.
???? Utilizing Agent-Based Navigation:
▪️ Instantiate dual agents: Create one for bottom-up reasoning (details and specifics) and one for top-down reasoning (overarching concepts) to balance the conversation.
▪️ Dynamic path correction: Use prompts that ask the LLM to self-correct and align with set goals.
▪️ Iterative refinement: Periodically summarize progress and adjust based on feedback.
???? Avoiding Latent Space Traps:
▪️ Vary your prompts: Use diverse and strategically varied prompts to explore different regions and prevent the model from getting stuck.
▪️ Reset context periodically: Summarize the conversation and introduce new angles to help the LLM break free from less productive areas.
???? Recognizing Diminishing Returns:
▪️ Monitor response quality: Continuously assess the quality of the LLM's responses to determine if a shift in strategy is needed.
▪️ Adapt prompt strategy: Explore more fruitful areas to enhance the depth and relevance of the dialogue.
???? Maintaining Coherence in Extended Conversations:
▪️ Summarize regularly: Periodically summarize the conversation to reinforce context and maintain coherence.
▪️ Use contextual prompts: Frame new prompts within the context of previous responses to build a coherent narrative.
???? Balancing Depth and Breadth:
▪️ Layered questioning: Start with broad questions and gradually narrow down to specific details.
▪️ Recursive exploration: Revisit earlier topics from new angles to enrich the conversation without redundancy.
???? Engaging the LLM in Reflective Prompts:
▪️ Meta-reasoning: Use prompts that ask the LLM to reflect on its own reasoning process, such as "How did you arrive at this conclusion?" or "What assumptions are you making?"```
