Exploring the Linguistic Limits of Chat GPT in Hypnosis: An Insight into the Pros and Cons of Machine Learning
Have you ever wondered about the potential of Chat GPT in wellness? In today's world, people are often overburdened with technology and fed false information. As a clinical hypnotherapist, I assist clients in transforming their lives from the comfort of their own homes.
In this mini-episode, I'll guide you through the differences between linguistic structures of learning and machine learning, and discuss the basic math of Machine Learning. You'll also learn about Chat GPT's predictive capabilities, and its limitations in terms of vocabulary and sentence structure.
Chat GPT is a form of machine learning known as extrapolation
So it anticipates, assumes, concludes, and envisions what the next word in a sentence should be. example If I ask you what is the next word?
“Happy Birthday Day to …….?’
“Row Row Row you’re …..?’
While Chat GPT can't distinguish right from wrong, it's still an impressive piece of machine learning that can generate useful and inspiring metaphors. As we prepare for future technological advancements, it's essential to recognize Chat GPT's potential and limitations in hypnosis and other fields of Wellness. Through our exploration of linguistic boundaries in machine learning.
...understand what Chat GPT can and cannot do in the context of hypnosis.
It's important to note that Chat GPT is a tool, and like any tool, it has its limitations. While it can provide some great time-saving strategies and helpful metaphors, it cannot replace the expertise and experience of a trained therapist or hypnotherapist (Chat GPT isn't qualified).
Natural Language Processing and Neuro-linugistic Programming are completely different to Machine Learning.
Let me be clear, there is one clear difference between Machine Learning and Linguistics. NLP tries to comprehend language in the same way that humans do, and once this is achieved it should be able to generate accurate, natural human text, and language.
Machine learning aims to find patterns in data and then make predictions based on those patterns.
Let's examine the math behind machine learning
Specifically, let's consider the example of a bank trying to improve its credit application process. The first step is to determine the credit application approval process, which is an unknown target function. The input data for this function is the credit application process, while the output data is binary, indicating whether the application was approved (+1) or denied (-1).
To train a learning algorithm, we use historical records of credit approval, which provide ample training data. This data, along with the unknown target function, is fed into a learning algorithm with a hypothesis set, such as neural networks or vectors.
To illustrate the concept of linearly separable data
Imagine nine blobs of bright green paint on the floor. Each blob is a different size and shape, and we want to separate them with a line. We can draw a vertical or horizontal line to achieve this, depending on which blobs we want to group together.
In machine learning, we use the Perceptron Learning algorithm (PLA) to find the line that separates the data into two groups. The PLA algorithm looks for mismatches between the data and the hypothesis set, and adjusts the model accordingly.
While the initial learning model may not be perfect, it provides a starting point for further refinement. This type of machine learning is the most popular and it's known as supervised learning, there are other types of machine learning, such as unsupervised learning.
Perceptron Learning algorithm
Chat GPT hypnosis
Dear chatgpt please write a 500 word hypnosis script using keywords (hypnosis, stress, calm down, AI, linguistics and chat gpt) and make it funny…
At the end of the day, the true power of Chat GPT lies in its ability to learn and improve over time. As more people use it and provide feedback, it will continue to evolve and become even more effective.
So, if you're interested in exploring the linguistic limits of Chat GPT in hypnosis and gaining insight into the pros and cons of machine learning, give it a try. Just remember that while it can be a helpful tool, it's not a substitute for professional help and should be used with caution.