Comparing LLMs on "Real-World" Retrieval
A developer compares 8 LLMs on a custom retrieval task using medical transcripts, analyzing performance on simple to complex questions.
A developer compares 8 LLMs on a custom retrieval task using medical transcripts, analyzing performance on simple to complex questions.
A guide to effective and ineffective evaluation methods for LLMs on tasks like classification, summarization, and translation, including practical metrics.
A tutorial on evaluating Large Language Models using Hugging Face's Lighteval library on Amazon SageMaker, focusing on benchmarks like TruthfulQA.
A technical paper exploring the causes, measurement, and mitigation strategies for hallucinations in Large Language Models (LLMs).
A hands-on guide to evaluating LLMs and RAG systems using Langchain and Hugging Face, covering criteria-based and pairwise evaluation methods.
Explores methods for evaluating abstractive text summaries and detecting hallucinations, covering key dimensions and metrics like NLI and QA.