An AI generated article about AI learning by interacting with AI…
I asked a GPT-NEO model its view on literature on AI and Machine Learning. The text below is a verbatim copy of what it produced.
In the spirit of openness, I have decided to replicate the Guardian Newspaper and asked my GPT model to justify how good AI actually is. I asked it to produce five articles up to five hundred words each. The raw results are displayed below:
I have been spending some time building a GPT-NEO model that can generate coherent, long form content of around 750 words in length.
I believe that there are many things that are not given a name and that are real. That is the only way I know of that I can explain them away as being something that people created.
Data analysts are usually very well qualified and experienced. They possess a good understanding of the data they are analysing and will ensure the data is of sufficient quantity to justify the work they are carrying out.
n computer science, a classifier can be a classification algorithm or a classifier, i.e. an algorithm that is used to categorize an input vector into a given set of classes.
What is Reinforcement Learning? Simply, in reinforcement learning, the agent decides an action based on the most likely reward, this is calculated based on a probability distribution over which the reward will be drawn from.
The first formal definition of reinforcement learning was given by John Sutton and Robert J. F. Kelly in “Probabilistic Programming: An Introduction” (Sutton & Sutton, 1982).
I asked my GPT Model what are the different types of Neural Networks and this is what it wrote for me:
Artificial Intelligence (AI) is the science and technology of developing computer systems that can think and reason. AI can have a wide range of applications in all fields of technology.
What are the major threats to humanity? A number of other issues that have caused a number of countries and communities to lose the trust of their citizens have also created the conditions for the rise of AI.
The first commercial application of neural networks was in image processing. In the 1970s, computer scientists created and implemented the first neural networks, the so-called VLSI (very large scale integrated circuit) technology, which used a large number of transistors.