📄️ An Overview of Terms
This guide provides a foundational understanding of key terms in the field of AI and LLMs, suitable for beginners or non-tech professionals. The field is rapidly evolving, so staying updated with the latest developments is important.
📄️ Artificial General Intelligence
Artificial General Intelligence (AGI), also known as Strong AI, refers to a type of artificial intelligence that can understand, learn, and apply its intelligence to a wide variety of tasks, much like a human being. Unlike Narrow AI, which is designed to perform specific tasks, AGI has the potential to outperform humans in nearly every cognitive task. This article explores the concept, development, implications, and ethical considerations of AGI.
📄️ Chatbots
In the rapidly advancing world of Artificial Intelligence (AI), chatbots have emerged as a practical and widespread application. For beginners delving into AI, understanding chatbots is essential to grasp how AI can simulate human-like interactions. This article aims to provide a beginner-friendly overview of chatbots, their workings, applications, and significance in the AI landscape.
📄️ Natural Language Processing
Natural Language Processing (NLP) is a fascinating and rapidly evolving domain within Artificial Intelligence (AI) that focuses on the interaction between computers and human language. As a beginner in AI, understanding NLP is crucial for comprehending how machines understand, interpret, and respond to human language. This article aims to provide a beginner-friendly overview of NLP, its workings, applications, and significance.
📄️ Bias in AI
In the rapidly evolving world of Artificial Intelligence (AI), an important issue that often comes under scrutiny is bias. AI systems, despite their sophistication, are not immune to biases that can lead to unfair or discriminatory outcomes. This beginner-friendly article aims to shed light on what bias in AI means, how it occurs, and the steps being taken to mitigate it.
📄️ Generative Pre-trained Transformer (GPT)
Artificial Intelligence (AI) has been a buzzword for some time, and one of the most groundbreaking developments in this field is the Generative Pre-trained Transformer (GPT). As a beginner in AI, understanding GPT is crucial to grasp the current capabilities and future potential of AI, especially in language processing. This article aims to provide a clear, beginner-friendly explanation of what GPT is, how it works, and why it's significant.
📄️ Machine Learning
In the vast and dynamic world of Artificial Intelligence (AI), Machine Learning (ML) stands out as a fundamental and transformative element. For beginners in AI, understanding the basics of Machine Learning is essential to grasp how modern AI systems learn and make decisions. This beginner-friendly article aims to unpack what Machine Learning is, how it works, and its importance in the field of AI.
📄️ Deep Learning
Deep Learning, a subset of Machine Learning in the field of Artificial Intelligence (AI), has gained significant attention for its remarkable ability to make sense of large and complex datasets. This beginner-friendly article aims to demystify Deep Learning, explaining its basics, how it functions, and why it's pivotal in the advancement of AI.
📄️ Fine Tuning
Artificial Intelligence (AI) has made significant strides in recent years, and one of the key processes behind the efficiency of AI models, particularly in the field of Natural Language Processing (NLP), is fine tuning. In this beginner-friendly article, we will delve into the concept of fine tuning, its importance, and how it's applied in AI models.
📄️ Artificial Neural Networks (ANNs)
In the realm of Artificial Intelligence (AI), Artificial Neural Networks (ANNs) stand as one of the most fundamental and intriguing concepts. As a beginner in AI, grasping the basics of ANNs is essential to understand how AI mimics the human brain’s functioning. This article aims to provide a clear and straightforward introduction to Artificial Neural Networks, explaining what they are, how they work, and why they are a pivotal part of modern AI.
📄️ AI Hallucinations
In the world of Artificial Intelligence (AI), "hallucinations" may sound like a term borrowed from science fiction, but it's a real phenomenon that plays a significant role in how AI systems operate and sometimes err. This article aims to demystify AI hallucinations for beginners, exploring what they are, why they happen, and their implications.
📄️ Prompt Engineering
Prompt engineering is an emerging discipline in the field of artificial intelligence (AI) that focuses on effectively communicating with AI models, particularly large language models like GPT-3 and GPT-4, to elicit accurate, relevant, and creative responses. It's a blend of art and science, requiring an understanding of the model's capabilities and limitations, as well as creativity in formulating prompts.