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Featured Resources

Rewarding Responsible Restraint: A New AI Safety Evaluation Paradigm

Move beyond binary “safe/unsafe” in your LLM evaluations. Learn how tricategorical reasoning rewards responsible restraint and ethical uncertainty, improving AI safety and reliability.

How Nearmap Scaled AI Data Labeling for Aerial Imagery

Discover how Nearmap partnered with ɫ��Ƶ to scale computer vision data annotation for high-volume aerial and 3D imagery.

Audio Data for AI Models: End-to-End Solutions from Collection to Deployment

End-to-end audio data for voice AI. Collect, transcribe, and validate speech across 500+ languages with ɫ��Ƶ’s global network.

Blog

Rewarding Responsible Restraint: A New AI Safety Evaluation Paradigm

Multilingual NLP: Code-Switching, Variants, & Dialectal Expansion

Agentic AI vs Generative AI

What Is Sociophonetics and Why It Matters for AI

AI Agentic Workflows: Automating Complex Tasks at Scale

Is the Safest AI Response No Response?

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

How Retail AI is Transforming Shopping Experiences

Case Studies

How Nearmap Scaled AI Data Labeling for Aerial Imagery

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 ɫ��Ƶ

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

White Papers, Reports and eBooks

Audio Data for AI Models: End-to-End Solutions from Collection to Deployment

Red Teaming Multimodal Language Models: Evaluating Harm Across Prompt Modalities and Models

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

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