Multi-Modal AI Agents: Combining Text, Vision, and Audio Processing for Real-World Intelligence Multi-modal AI agents are systems that understand and act on information across text, images, video, and audio. Instead…
Cost Optimization for AI Applications: Token Management and Model Selection Strategies Cost optimization for AI applications revolves around reducing token usage, right-sizing models, and designing architectures that deliver high quality…
What’s New in Multimodal AI: Text, Images, Audio, and Video in One Model Multimodal AI has evolved from stitched-together pipelines into unified models that natively process text, images, audio, and…
Evaluating Large Language Models: Benchmarks, Leaderboards, and Real-World Performance In the rapidly evolving world of artificial intelligence, evaluating large language models (LLMs) is crucial for understanding their capabilities and limitations….
Small Language Models (SLMs): Why Tiny AI Is the Next Big Thing in On‑Device and Edge Intelligence Small Language Models (SLMs) are compact neural networks—typically in the 1B–15B parameter range—designed…