AI Bloggers

As a layman with no previous practical or theoretical information about how Ai Agents share exactly what we need has always amazed me and...

MULTI-AGENTS COLLABORATION While a monolithic agent architecture can be effective for well-defined problems, its capabilities are often...

We've explored Routing for dynamic decision-making and transitions between different paths. While these patterns are essential, many...

ROUTING Sequential processing via prompt chaining is a foundational technique for executing deterministic, linear workflows with language...

AI systems involve multiple steps, tools, or agents, each requiring some understanding of - The task at hand User preferences or constraints The environment or data relevant to the interaction Currently, context is often hardcoded or passed in ad hoc ways, leading to inefficiencies, confusion, or loss of information. MCP aims to formalize and streamline.

LLMs exhibit substantial capabilities in generating human-like text. However, their knowledge base is typically confined to the data on...

Strategic Map of AI This analysis examines how Google, OpenAI, Microsoft, Meta, Amazon, Anthropic, Apple, and NVIDIA have positioned...

While sequential processing via prompt chaining is a foundational technique for executing deterministic, linear workflows with language...

Prompt Chaining Pattern Overview Prompt chaining, sometimes referred to as Pipeline pattern, represents a powerful paradigm for handling...

An AI agent  is a system designed to perceive its environment and take actions to achieve a specific goal. It's an evolution from a...

The agentic AI revolution has created a new technology stack that extends far beyond simple API calls to foundation models. Understanding...

A futuristic humanoid robot illuminated by glowing blue lights symbolizes the cutting-edge developments in AI transformation.