Definitions

Augmented / Assisted / Autonomous Machine Reasoning (AMR) now also known as Artificial General Intelligence (AGI)

It is undoubtedly true that Google can provide individual facts such as:

• Arnold married to Shriver
• Shriver daughter Joseph However, intelligence is the ability to connect individual facts into a knowledge path.

Massive Multitask Language Understanding (MMLU): AI performance test that involves a wide range of questions across 57 different subjects such as physics, math, medicine, history, computer science, law and more.

AI Challenges: Limitations, Truthfulness, Confabulation and Hallucinations. Processing is costly therefore stationary data is preferred.

LLM versus LRM

LLM stands for Large Language Model. It can understand and generate text. Think of it as a smart text machine. LRM stands for Large Reasoning Model. It can plan and reason. LRMs go beyond just making text. Large Language Models, or LLMs, are a type of artificial intelligence built to understand and generate text. They learn by studying huge amounts of written material. This helps them predict what word should come next in a sentence. LLMs use a technology called transformers. Transformers help the model see how words relate to one another. This means the model can understand context. For example, it knows that the word "bank" can mean a place to store money or the side of a river, depending on the sentence. Even though LLMs are impressive, they are not perfect. Sometimes, they make mistakes or produce biased information. This is why it is important to review and verify the content they generate.

Large Reasoning Models, or LRMs, are a new type of AI model. They are built to reason and plan, not just generate text. Purpose: LRMs are designed to think step by step. They aim to understand a problem and work through it logically. How They Work: Unlike LLMs, which predict the next word in a sentence, LRMs use techniques like reinforcement learning. This helps them make better decisions on complex tasks.

Limitations: Lack of True Understanding: LLMs generate text based on patterns, but they don't truly understand the content, which can lead to plausible-sounding but incorrect or nonsensical answers.

Hallucinations