Hallucination Detection Courses and Certifications

Donato Capitella

Hallucination Detection and Evaluation in RAG Systems - Using RAGAS and Lynx

Explore hallucination detection in RAG systems through RAGAS metrics and Lynx model, learning practical techniques to measure and improve response accuracy and faithfulness in LLM applications.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Donato Capitella

Faithfulness Checks and Hallucination Detection in RAG Pipelines - Lab Tutorial

Master techniques for evaluating and ensuring LLM response accuracy in RAG pipelines using tools like gpt4o-mini, Llama-index, RAGAS, and Azure's Groundedness API for reliable AI applications.

• YouTube
• 38 minutes
• On-Demand
• Free Video

MLOps.community

Reliable Hallucination Detection in Large Language Models

Explore advanced techniques for detecting hallucinations in large language models, including a novel sampling-based method that outperforms existing approaches in identifying non-factual and factual statements.

• YouTube
• 35 minutes
• On-Demand
• Free Video

AWS Events

Live Hallucination Detection in Production with LaunchDarkly's AI Configs

Discover how to detect AI hallucinations in production using LaunchDarkly's AI Configs with Amazon Bedrock for real-time generative AI application monitoring and optimization.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Behavioral Benchmarking of LLMs

Explore LLM evaluation beyond accuracy through hands-on experiments with token efficiency, temperature effects, output consistency, and hallucination detection using API testing.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

AI Guardrails & Cybersecurity-AI Agents, Red Teaming HandsOn

1276 ratings at Udemy

Build Responsible AI using OpenSource Models [HuggingFace], Platforms [Amazon Bedrock], Frameworks[Nemo, GuardrailsAI]

• Udemy
• 7 hours 6 minutes
• On-Demand
• Paid Course

Coursera Microcredential

LLM Optimization & Evaluation

Master the complete lifecycle of LLM optimization through hands-on experience with production-ready techniques, evaluation methods, cost reduction, and deployment strategies.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 12 courses

Quality and Safety for LLM Applications

Explore metrics and best practices for monitoring LLM systems, ensuring safety and quality. Learn to identify hallucinations, detect jailbreaks, prevent data leakage, and build custom monitoring systems for LLM applications.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Coursera

Optimize AI Prompts for Cost and Quality

Master prompt engineering to optimize AI outputs for quality, cost-effectiveness, and ethical alignment through structured templates and bias mitigation techniques.

• Coursera
• 3 hours 11 minutes
• On-Demand
• Paid Course

Advanced LLMOps: Deploying and Managing LLMs in Production

2 ratings at LinkedIn Learning

Learn advanced techniques and best practices for deploying and monitoring large language models in production environments.

• LinkedIn Learning
• 1 hour 45 minutes
• On-Demand
• Free Trial Available

Reducing Hallucinations in LLMs via Decoding, Detection, and Citation

Explore three complementary approaches to reduce LLM hallucinations: DoLa for improved truthfulness, Lookback Lens for hallucination detection, and SelfCite for generating fine-grained citations.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Weights & Biases

Fine-tuning LLMs to Reduce Hallucination - Leveraging Out-of-Domain Data

Explore techniques to enhance LLM factual consistency using out-of-domain data and two-step fine-tuning. Learn to leverage Weights & Biases for model evaluation and improve hallucination detection.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

USC Information Sciences Institute

Do Androids Know They're Only Dreaming of Electric Sheep?

Explore transformer language models' internal representations to detect and analyze hallucinatory behavior in AI-generated content, with insights on task-dependent patterns and evaluation methods.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Hallucination-Free LLMs: Strategies for Monitoring and Mitigation

Explore strategies for monitoring and mitigating hallucinations in LLMs, including uncertainty quantification and self-evaluation techniques, to enhance the quality and reliability of AI-generated responses.

• YouTube
• 39 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Introducing Arize-Phoenix and OpenInference for AI Evaluation and Observability

Explore AI observability and evaluation with OpenInference and Arize-Phoenix. Learn practical techniques for incorporating LLMs to guard against hallucinations and poor retrieval.

• YouTube
• 43 minutes
• On-Demand
• Free Video