Question about LightEval 🤗:
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Question about LightEval 🤗:
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I've been searching for an LLM evaluation suite that can, out-of-the-box, compare the outputs of a model(s) without any enhancements vs. the same model with better prompt engineering, vs. the same model with RAG vs. the same model with fine-tuning.
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I've been searching for an LLM evaluation suite that can, out-of-the-box, compare the outputs of a model(s) without any enhancements vs. the same model with better prompt engineering, vs. the same model with RAG vs. the same model with fine-tuning.
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I unfortunately have not found a tool that fits my exact description, but of course I ran into LightEval.
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I unfortunately have not found a tool that fits my exact description, but of course I ran into LightEval.
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A huge pain-point of building large-scale projects that use LLMs is that prior to building an MVP, it is difficult to evaluate whether better prompt engineering, or RAG, or fine-tuning, or some combination of all is needed for satisfactory LLM output in terms of the project's given use case. 
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A huge pain-point of building large-scale projects that use LLMs is that prior to building an MVP, it is difficult to evaluate whether better prompt engineering, or RAG, or fine-tuning, or some combination of all is needed for satisfactory LLM output in terms of the project's given use case. 
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Time and resources is then wasted R&D'ing exactly what LLM enhancements are needed. 
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Time and resources is then wasted R&D'ing exactly what LLM enhancements are needed. 
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I believe an out-of-the-box solution to compare models w/ or w/out the aforementioned LLM enhancements could help teams of any size better decide what LLM enhancements are needed prior to building.
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I believe an out-of-the-box solution to compare models w/ or w/out the aforementioned LLM enhancements could help teams of any size better decide what LLM enhancements are needed prior to building.
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I wanted to know if the LightEval team or Hugging Face in general is thinking about such a tool. 
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I wanted to know if the LightEval team or Hugging Face in general is thinking about such a tool. 
Question about LightEval 🤗:

I've been searching for an LLM evaluation suite that can, out-of-the-box, compare the outputs of a model(s) without any enhancements vs. the same model with better prompt engineering, vs. the same model with RAG vs. the same model with fine-tuning.

I unfortunately have not found a tool that fits my exact description, but of course I ran into LightEval.

A huge pain-point of building large-scale projects that use LLMs is that prior to building an MVP, it is difficult to evaluate whether better prompt engineering, or RAG, or fine-tuning, or some combination of all is needed for satisfactory LLM output in terms of the project's given use case. 

Time and resources is then wasted R&D'ing exactly what LLM enhancements are needed. 

I believe an out-of-the-box solution to compare models w/ or w/out the aforementioned LLM enhancements could help teams of any size better decide what LLM enhancements are needed prior to building.

I wanted to know if the LightEval team or Hugging Face in general is thinking about such a tool. 
👀
John6666
63e0eea7af523c37e5a77966
https://cdn-avatars.huggingface.co/v1/production/uploads/1678663263366-63e0eea7af523c37e5a77966.jpeg
Nathan Habib
SaylorTwift
user