Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

IPcook Empowers AI Training Data Acquisition with High-Performance Residential Proxies

IPcook addresses the growing complexity of bot detection, utilizing clean residential proxies to maintain consistent ...
TechCrunch

Spawning wants to build more ethical AI training datasets

Jordan Meyer and Mathew Dryhurst founded Spawning AI to create tools that help artists exert more control over how their works are used online. Their latest project, called Source.Plus, is intended to ...

Experiments Find LLMs Rely on Training Data & Lose Mid-Document Details

Tests on GPT and Claude found they ignored invented spells Fumbus and Driplo; training data can override new input, trust ...
Semiconductor Engineering

Reliable Training Data Paramount To AI Model Success

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...
Forbes

The Pros And Cons Of Using Synthetic Data For Training AI

Artificial intelligence (AI) models—specifically, generative AI (GenAI) models—are becoming increasingly relevant for today’s businesses, yet many questions remain about how such models work and how ...
TechCrunch

Apple says it took a ‘responsible’ approach to training its Apple Intelligence models

Apple has published a technical paper detailing the models that it developed to power Apple Intelligence, the range of generative AI features headed to iOS, macOS and iPadOS over the next few months.