Under the Hood
Modeled after the human brain, are a mathematical system that actively learns skills by identifying and analyzing statistical patterns in data. This system features multiple layers of artificial neurons, which are computational models inspired by the neurons in our brain
These artificial neurons process information and transmit signals to other connected neurons. While the first layer processes the input data, the final layer delivers the results (Hardesty, 2017). Intriguingly, even the experts who meticulously design these neural networks often find themselves puzzled by the intricate processes occurring between the layers.
What is a Neural Network?
This term in AI models refers to output errors caused by skewed training data. It can cause models to produce inaccurate, offensive, or misleading predictions. Biased AI models arise when algorithms prioritize irrelevant or misleading data traits over meaningful patterns (Smith, 2019).
What is Bias?
This is the practice of designing effective prompts to guide an AI model’s output. This involves setting roles, specifying format, adding constraints, or giving examples to improve the quality, tone, or relevance of the response.
What is Prompt Engineering?
Neural networks known as THIS work by forecasting word sequences. Their capabilities are rapidly advancing and continue to evolve with increased use. They can now hold dialogues, write prose, and scrutinize enormous text quantities from the internet.
What are Large Language Models?
We call these occurrences where large language models generate factually inaccurate or illogical answers due to data and architecture constraints.
What are Hallucinations?
We use this term to describe the habit of assigning human-like qualities to AI. While AI systems can imitate human emotions or speech, they don’t possess feelings or consciousness. We might interact with various AI models as if they were colleagues or thought partners, but in reality, they serve as tools for learning and resource development.
What is anthropomorphism?