@teach_fireworks / X longform
2) Generate dynamic prompt words through search. Build a search engine at runtime specifically to find golden workflows that are highly similar to Agent tasks, and describe the...
Build a search engine at runtime specifically to find golden workflows that are highly similar to Agent tasks, and describe the found workflows as prompt words and provide them to LLM as examples, so that content that very well meets the requirements of the enterprise can be generated.
The second method is more flexible, lightweight, and low-cost.
It is indeed a very good idea.
Visual summary
Generated from the post's content graph
flowchart LR
format-thread["thread digest"]
topic-agents["agents"]
topic-technical-distribution["technical distribution"]
topic-retrieval["retrieval"]
capability-agent-workflow["agent workflow"]
format-thread -->|covers| topic-agents
format-thread -->|covers| topic-technical-distribution
format-thread -->|covers| topic-retrieval
format-thread -->|signals| capability-agent-workflowVisual structure
Built from summary and key paragraph positions
flowchart LR
thesis["2) Generate dynamic prompt words through search. Build a search engine at runtime specifically to find gold..."]
signal["2) Generate dynamic prompt words through search."]
operator["The second method is more flexible, lightweight, and low-cost."]
implication["It is indeed a very good idea."]
thesis -->|frames| signal
signal -->|develops| operator
operator -->|lands in| implication