New developments and cutting-edge research.

Advanced Architectures

• Mixture of Experts - AI models that activate different parts for different tasks
• Multimodal AI - Systems that work with text, images, audio, and video together
• Retrieval Augmented Generation - AI that searches databases before generating answers
• Vector Databases - Storage systems optimized for AI embeddings

AI Agents

• AI Agents - AI systems that can take actions and use tools
• Tool Use - AI systems that can operate external software and APIs
• Agentic AI - AI that acts independently to achieve goals
• Large Action Models - AI trained to perform actions, not just generate text

Training Innovations

• Synthetic Data - Artificially generated data used to train AI
• Self-Supervised Learning - AI learning patterns without human labels
• Federated Learning - Training AI across devices without sharing data
• Curriculum Learning - Teaching AI concepts in order from simple to complex

Efficiency Methods

• LoRA - Method for efficiently adapting large AI models
• Quantization - Reducing AI model size while keeping performance
• Distillation - Creating smaller AI models that mimic larger ones
• Pruning - Removing unnecessary parts of AI models

Capabilities

• Emergent Abilities - Unexpected skills that appear in large AI models
• In-Context Learning - AI learning new tasks from examples in prompts
• Chain-of-Thought - Getting AI to show step-by-step reasoning

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