speech-driven models are AI systems that understand and generate spoken language , enabling more natural and accessible human-machine interaction. These models power voice assistants, real-time transcription, text-to-speech, speaker recognition, and even emotional tone detection. Speech-driven AI typically involves several types of models: 🧠 Types of Speech-Driven Models Type Purpose Examples Automatic Speech Recognition (ASR) Converts […]

These are a relatively new class of models that go beyond traditional language understanding or vision-language modeling by incorporating real-world action reasoning and execution , especially in agent-based systems . 🧠 What Are Language-Action Models (LAMs) ? LAMs combine language models (LLMs) with action execution capabilities , enabling them to: They represent a step toward

“Open source generative AI” refers to generative artificial intelligence models and tools whose source code, training methodologies, and sometimes even trained weights are publicly available , allowing anyone to use, modify, and redistribute them. These models can generate text, images, audio, code, and other types of content. 🔍 What is Generative AI? Generative AI refers

The term “Agentic AI” refers to artificial intelligence systems that exhibit agency —the capacity to act independently, make decisions, and pursue goals with some degree of autonomy. While not a standardized or universally defined term yet, it is increasingly used in discussions around advanced AI systems, particularly in the context of autonomous agents , general-purpose

Middleware refers to software that acts as a bridge between different applications, systems, or devices, enabling seamless communication and data exchange. In the context of IoT, AI, and distributed systems, middleware plays a critical role in abstracting complexity, managing connectivity, and ensuring interoperability. Open-source middleware provides developers with cost-effective, flexible, and customizable solutions for building