AGI on Arshad Siddiqui

AI Stages: ANI, AGI, ASI

Thu, 04 Jul 2024 10:55:52 +0100

Artificial Intelligence is often described in three stages, based on capability and scope:

examples

Mon, 15 Dec 2025 10:55:52 +0100

Also referred to as Agentic AI.

AI agents are intelligent systems that can plan, make decisions, and take actions to achieve goals with minimal human intervention.

A common use case is task automation
for example booking travel based on a user’s request.
AI agents typically build on Generative AI and use Large Language Models (LLMs) as the reasoning core.
Agents often interact with tools (APIs, databases, calendars) to complete multi-step workflows.

Mon, 15 Dec 2025 10:55:52 +0100

is an architecture of neural networks
based on the multi-head attention mechanism
text is converted to numerical representations called tokens, and each token is converted into a vector via lookup from a word embedding table
takes a text sequence as input and produces another text sequence as output
foundation for modern Large Language Models (LLMs) like ChatGPT and Gemini
Transformer architecture
Model, Positionwise Feed-Forward Networks, Residual Connection and Layer Normalization