What is OpenAI o1?

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About OpenAI o1:

It is a new large language model trained with reinforcement learning to perform complex reasoning.
It thinks before it answers—it can produce a long internal chain of thought before responding to the user.
This model can reason through complex tasks and solve harder problems than previous models in science, coding, and math.
According to the company, the model is a progressive step toward achieving human-like AI.
It also demonstrates tangible improvements in key areas, such as generating code and tackling complex, multistep challenges with greater proficiency than its predecessors.
It has trained these models to spend more time thinking through problems before it responds, much like a human would.
The o1 model scored 83 per cent on the qualifying exam for the International Mathematics Olympiad, OpenAI said in its blog post. This is a vast improvement from the 13 per cent scored by its predecessor, GPT-4o.
OpenAI’s previous GPT models were simply taught to provide answers by detecting patterns in training data.
But, in the case of o1, researchers at the organisation first taught the model using a system of rewards and penalties.
Then, o1 was taught to process user queries by breaking them down and going through them one step at a time.
Currently, the o1 can neither browse the internet nor process files and images. It also lacks factual information about recent world events.

Q1: What are Large Language Models (LLMs)?

A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data—hence the name “large.”These are built on machine learning: specifically, a type of neural network called a transformer model.

Source: OpenAI unveils o1, a new AI model trained for ‘reasoning’: Here’s what it can do better