Analysis
This Zenn ML article offers a refreshing perspective on Large Language Models, emphasizing the importance of designing them as probabilistic models rather than simply manipulating them with prompts. It advocates for understanding LLMs' behavior within a probabilistic framework, opening the door to more robust and reliable applications. The focus on structural understanding and proactive design is a welcome shift.
Key Takeaways
- •The article champions viewing Large Language Models as probabilistic models.
- •It argues that prompt engineering is not the core issue, but rather the underlying probability space and design choices.
- •The author will focus on structural understanding, hallucination analysis, and RAG design.
Reference / Citation
View Original"LLMs are not something you 'master'; they are objects to be designed."