May 10, 2024, 7:49 a.m. | Rutam Bhagat

DEV Community dev.to

As language models (LLMs) continue to advance, their applications are becoming increasingly complex and sophisticated. However, with this complexity comes the challenge of evaluating the performance and accuracy of these LLM-based applications. In this blog post, we'll dive into the world of LLM application evaluation, exploring frameworks and tools that can help you assess and improve your models' performance.



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import os
from dotenv import load_dotenv, find_dotenv
from langchain.chains.retrieval_qa.base import RetrievalQA
from langchain.indexes import VectorstoreIndexCreator …

accuracy advance ai app application applications blog challenge complexity evaluation frameworks however langchain language language models llm llms machinelearning performance tools world

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