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Featured Resources

LLM Hallucinations: Why Models Make Mistakes & How to Fix Them

Explore new insights on why language models hallucinate. Learn how Appen addresses AI hallucinations with quality data, human feedback, and evaluation strategies.

How Cohere Scaled Preference-Based Fine-Tuning for Enterprise LLMs

Discover how Cohere partnered with Appen to scale high-quality supervised fine tuning and LLM evaluation with real-time annotation.

Pre-Labeled Datasets

Accelerate your AI projects with licensable datasets

Browse our extensive catalog of over 270 audio, image, video and text datasets in over 80 languages. Our pre-labeled datasets are available immediately so you can get started right away.

Retail AI: the Future of Shopping

Learn how retail AI will redefine tomorrow’s shopping experiences with practical insights for leaders in retail and e-commerce.

Blog

LLM Hallucinations: Why Models Make Mistakes & How to Fix Them

How Retail AI is Transforming Shopping Experiences

ACL 2025: 5 Trends Shaping the Future of LLMs

How Krippendorff’s Alpha Improves Data Reliability

Old Is New Again: How Rubrics and Fine-Tuning Work Together in LLM Evaluation

Preserving Cultural Nuance in AI: Beyond Translation

AI Circle x Appen: Experts in the Loop

Neutrality Is Strategic – Why We’re Doubling Down on It

Case Studies

How Cohere Scaled Preference-Based Fine-Tuning for Enterprise LLMs

Enhancing an AI Video Description Generator with Human Validation

Accelerating Music Generation for Leading AI Platform

Rapid-Sprint LLM Evaluation & A/B Testing in Multiple Complex Domains

Improving Multilingual LLM Performance with Supervised Fine-Tuning

Training an LLM Image Generator for Graphic Design in 20+ Languages

How ReflexAI Empowers Veterans with AI Mental Health Support

How Microsoft is Advancing Equitable Knowledge Access with AI Translation

White Papers, Reports and eBooks

Retail AI: the Future of Shopping

Multilingual LLM Translation: Evaluating Cultural Nuance in Generative AI

Adversarial Prompting: Benchmarking Safety in Large Language Models

AI Safety: Building Responsible and Reliable System

Mastering Large Language Models: A Deep Dive for AI Leaders

2024 State of AI Report: Navigate the Evolving AI Landscape

How RAG and Human Expertise Optimize AI Performance

Guide to Chain-of-Thought Prompting

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