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Machine learning tutorials for beginners - Know what is machine learning and learn its concepts from basic to advanced in simple and easy way

With a generative AI chatbot like ChatGPT, the temptation to use it to write the perfect essay is real. CNA finds out how teachers in Singapore steer students away from plagiarism and towards self-directed learning.

Learn more about MinnaLearn's and the University of Helsinki's AI course - no programming or complicated math required.

This module introduces common AI workloads and their corresponding Azure AI Services. It also introduces Microsoft's Responsible AI policies.

AI Changing students Learning skills from coding to development of software projects. Complete faster software project with AI applications.

Complete AI Tutorial - Introduction to AI, Need of AI, AI Applications, Career in AI, Benefits of using AI in the industries, AI Classification

Artificial intelligence and machine learning algorithms are ever-present in the Internet age. However, the way it works is not common knowledge. What is the meaning of machine learning, and what is the path forward for AI in the future? Read this article to learn more.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Repeatedly recognized as a leader in innovation, research and global impact, Arizona State University is continuing its mission to chart the future when it comes to artificial intelligence.  Today, the university announced it has become the first higher education institution to collaborate with OpenAI, the AI research and deployment company behind ChatGPT. ChatGPT was unveiled to the public just over a year ago, and since that launch, organizations' adoption of generative AI tools has surged.

In 1966, the sociologist and critic Philip Rieff published The Triumph of the Therapeutic, which diagnosed how thoroughly the culture of psychotherapy had come to influence ways of life and thought in the modern West.

Curating the latest AI advancements in education into digestible insights, this blog empowers educators and administrators by demystifying AI and inspiring innovative teaching and learning strategies for the AI era. Click to read AI x Education, a Substack publication with thousands of subscribers.

Myths, misconceptions & inaccuracies render AI systems opaque. Check out the resources we provide to tackle 8 of the most common myths about ‘artificial intelligence.’

Ethics and Information Technology - Responsibility has become a central concept in AI ethics; however, little research has been conducted into practitioners’ personal understandings of...

Ethics and Information Technology - In recent years, the European Union has advanced towards responsible and sustainable Artificial Intelligence (AI) research, development and innovation. While the...

Exactly a year ago, we shared the advice of 11 academics on the then-new ChatGPT. We followed up to see what has changed and what to expect in 2024.

W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.

Large Language Models (LLMs) can be used to help with scientific research by providing guidance and norms for researchers and peer-reviewers, ensuring ethical use of LLMs in research. LLMs have the potential to enhance qualitative research in the social sciences by quickly identifying patterns, themes, and sentiments in data, as well as generating human-like text for simulations and presentations. In the field of user rating prediction, LLMs can achieve comparable or better performance with less training data through fine-tuning, demonstrating their potential for data efficiency. To further explore the capabilities of LLMs, a general taxonomy is proposed to design prompts for complex tasks, enabling benchmarking studies and accurate conclusions about LLMs' performance.

The introduction of large language models (LLMs) that allow iterative “chat” in late 2022 is a paradigm shift that enables generation of text often indistinguishable from that written by humans. LLM-based chatbots have immense potential to improve academic work efficiency, but the ethical implications of their fair use and inherent bias must be considered. In this editorial, we discuss this technology from the academic’s perspective with regard to its limitations and utility for academic writing, education, and programming. We end with our stance with regard to using LLMs and chatbots in academia, which is summarized as (1) we must find ways to effectively use them, (2) their use does not constitute plagiarism (although they may produce plagiarized text), (3) we must quantify their bias, (4) users must be cautious of their poor accuracy, and (5) the future is bright for their application to research and as an academic tool.

A beginner-friendly guide to prompt engineering with LLMs

Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.

Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.

A Comprehensive Overview of Prompt Engineering

This post outlines how to create references for large language model AI tools like ChatGPT and how to present AI-generated text in a paper.

Explore the dynamic world of prompt chaining in generative AI applications and how these techniques are shaping the future of AI.

A Comprehensive Overview of Prompt Engineering