FOSDEM 2023 | How to test ML models?

(29:9)

Testing LLMs with Giskard and MLOps best practices

(12:5)

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

(40:35)

How to evaluate an LLM-powered RAG application automatically.

(50:42)

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

(5:17)

Testing ML models Tutorial Part 3 | Run test suites, apply slicing \u0026 transformation functions

(1:17)

Giskard Model Testing

(5:27)

Giskard AI Evaluation Framework

(4:37)

QA Manual Testing Full Course for Beginners Part-1

(4:41:40)

AI Automation Tools For Testers

(3:15:34)

How to Build Intelligent Agentic RAG with CrewAI and Qdrant

(1:4:55)

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

(37:21)

QA Interview QUESTIONS

(1:17:14)

RAG with #langchain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1

(1:3:39)

How To Generate Manual Test Cases Automatically With Screenshot | Testcase Studio

(9:57)

AgentQL For Easy Scraping - I'm Genuinely Impressed

(14:1econd)

Generative AI | Jobs with GPT 3, GPT 4, ChatGPT Knowledge and Skills | Career Talk With Anand

(6:32)

🔥🔥 #deepeval - #LLM Evaluation Framework | Theory \u0026 Code

(19:59)

Testing ML models Tutorial | Detect hidden vulnerabilities in your ML model

(1:33)

Testing ML models Tutorial Part 2 | Generate a test suite for your ML model

(1:15)

Giskard - Testing Tool for LLMs

(6:36)

Giskard Pitch in 1 minute

(1:24)

Quality Assurance with Giskard

(9:36)

Giskard demo with Databricks MLFlow

(3:23)

Evaluate Your RAG System Performance: Giskard

(17:49)

Giskard | MLOps platform to eliminate risks of AI incidents in production

(4:12)

How to Detect LLM’s Vulnerabilities: Giskard

(20:30)