Distinguishing Between Chains, Agents and Generative AI Networks
This article explores Generative AI Networks (GAINs) - chains of interconnected AI agents that collectively solve complex problems with scalability, expertise, and resilience.
GAIN6
Check out the latest posts
Hierarchical Collective Intelligence Networks (HCIN)
Beyond the limits of solitary intelligence, a new frontier is emerging in AI - one powered not by individual models, but by expansive collectives of specialized agents working together in symbiotic coordination. Welcome to the dawn of emergent cognition.
Fragmented Intelligence: The New Face of AGI
The myth of a singular, omnipotent artificial general intelligence is dead. The future lies in a mosaic of ephemeral, specialized AI agents, working in concert under human direction. A decentralized network, not a monolith. This new paradigm promises to reshape the pursuit of AGI.
The Generative AI Tech Stack
Beyond the Hype: A Pragmatic Technical Framework for Understanding and Building Enterprise-Ready Generative AI Systems
What Are Large Language Model (LLM) Agents and Autonomous Agents
Large language models are rapidly transcending their origins as text generators, evolving into autonomous, goal-driven agents with remarkable reasoning capacities. Welcome to the new frontier of LLM agents.
Generative AI Networks (GAINs)
GAIN is a Prompt Engineering technique to solve complex challenges beyond the capabilities of single agents.