Find answers from the community

Updated 3 months ago

Hello <@334536717648265216> ,I have a question regarding the difference between a func

Hello ,

I have a question regarding the difference between a function output and an LLM response.

Here's my current understanding:
I'm utilizing some advanced RAG techniques for building my agent, specifically the Function Calling Agent Worker. This is followed by the AgentRunner, which processes the query.

From my perspective, the function output refers to the result generated by the Function Calling Agent. In other words, it's the direct output produced by the specific function executed within the agent framework.

On the other hand, the LLM response involves taking this function output and sending it to the Language Model (LLM) defined within the Function Calling Agent Worker. The LLM then processes this information and generates a final response based on the function output.

Could you please clarify if my understanding is correct?

Any additional insights or corrections would be greatly appreciated.
k
L
3 comments
Please stand by @pavan._01 as I search the knowledge base. I normally take about 20 seconds or so. :wave:
----------------------
Hello,

Your understanding is largely correct. Let's break it down:

  1. Function Output: This is indeed the direct output produced by the specific function executed within the agent framework. For example, in the MistralAI Cookbook (), the function lyft_10k is called with the argument "investments". The function output is the detailed information about Lyft's investments in 2021.
  1. LLM Response: This is the final response generated by the Language Model (LLM) based on the function output. The LLM takes the function output and generates a response that is suitable for the end-user. The LLM can be any language model, such as GPT-4, as shown in the LLM Compiler Agent Cookbook ().
However, it's important to note that the LLM doesn't just "process" the function output. It uses the function output as part of its input when generating a response. The exact way the LLM uses the function output depends on how the LLM is set up and used within the agent framework.

In terms of the difference between the two, the function output is typically more structured and detailed, while the LLM response is more user-friendly and conversational. The LLM response is what the end-user typically sees and interacts with.

I hope this clarifies your understanding. Let me know if you have any more questions!
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
----------------------
Yea your understanding seems correct
Add a reply
Sign up and join the conversation on Discord