Artificial Intelligence
Google Agent Development Kit (ADK) Google’s Python Agent Development Kit (ADK) are making it easier for developers to build intelligent agents that interact with users and systems. Agent Development Kit (ADK) is a tool that helps developers build and run AI agents easily. It is flexible, meaning you can use it in many different ways, […]
Cerebras Company Products Cerebras Systems is a semiconductor and AI company focused on accelerating deep learning. It is known for creating the world’s largest single chip for AI workloads (the Wafer Scale Engine) and building turnkey AI systems and supercomputers around it. Some of the Cerebras Company Products are as follows: Product What It Is […]
A2A Protocol Components In today’s digital world, many systems rely on secure and efficient communication between different applications, services, and agents. The Agent-to-Agent (A2A) protocol plays a crucial role in enabling such communication by allowing software agents to interact directly and securely. A2A it as a method where one software agent (client) communicates with another […]
Agent to Agent Protocol ( A2A ) The A2A Protocol, short for Agent-to-Agent Protocol, is one such method that allows software agents to talk to each other directly and efficiently. This blog post introduces you to the basics of the A2A Protocol, its purpose, and its advantages, all explained in simple terms. What is the […]
Cerebras AI Inference and Training Platform The Cerebras platform is an end-to-end system for building, training, and running large AI models. Instead of relying on many small chips networked together, Cerebras centers its technology on a single, gigantic “wafer-scale” processor and tightly integrated systems around it. This approach aims to make training faster, inference cheaper, […]
AI Distillation Concept Large AI models (teacher models) perform exceptionally well but are slow, expensive, and hard to run on small devices. AI Distillation (Knowledge Distillation) is the process of transferring the “knowledge” of a large model into a smaller, faster model (student model). This allows us to keep most of the accuracy while gaining […]