Testing Framework Giskard For Llm And Rag Evaluation

Testing Framework Giskard for LLM and RAG Evaluation (Bias, Hallucination, and More)

Testing LLMs with Giskard and MLOps best practices

Real-World ML by Pau Labarta Bajo

How to evaluate an LLM-powered RAG application automatically.

RAGAs- A Framework for Evaluating RAG Applications

Gao Dalie (高達烈)

Giskard - Testing Tool for LLMs

Session 7: RAG Evaluation with RAGAS and How to Improve Retrieval

Mitigating LLM Hallucinations with a Metrics-First Evaluation Framework

Open-source library to test Large Language Models (LLMs)

RAGAS - Evaluate your LangChain RAG Pipelines

Coding Crash Courses

LLM Evaluation With MLFLOW And Dagshub For Generative AI Application

Evaluate LLMs - RAG

Learn to Evaluate LLMs and RAG Approaches

LangChain "RAG Evaluation" Webinar

AI Agent Evaluation with RAGAS

Master LLMs: Top Strategies to Evaluate LLM Performance

What's AI by Louis-François Bouchard

Building Production-Ready RAG Applications: Jerry Liu

What is Retrieval-Augmented Generation (RAG)?

RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1

New course with Giskard: Red Teaming LLM Applications