category Artificial Intelligence Related Topics 
Analytics Vidhya
APRIL 8, 2024
Introduction Large language models (LLMs) represent a category of artificial intelligence (AI) trained on extensive datasets of text. This training enables them to excel in tasks such as text generation, language translation, creative content creation across various genres, and providing informative responses to queries.
Hacker News
OCTOBER 5, 2023
The Canadian government plans to regulate the use of artificial intelligence in search results and when used to prioritize the display of content on search engines and social media services. However, the inclusion of a category for content moderation or the prioritization of the presentation of content is not found in the EU.
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SEPTEMBER 17, 2023
In the ever-evolving landscape of education, artificial intelligence (AI) is becoming increasingly prevalent in university classrooms. Ajay Parasram, a professor at Dalhousie University in Halifax, falls into the latter category. While some professors embrace AI as a valuable tool for research projects, others are more cautious.
Dataconomy
APRIL 18, 2023
With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. But amidst all the hype, it’s worth asking ourselves: do we really understand the basics of artificial intelligence? What is artificial intelligence?
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IBM Journey to AI blog
MAY 1, 2023
In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. The fascination of artificial intelligence History has shown that the human preoccupation with creating a machine which replicates human thinking had in fact been simmering for centuries.
Analytics Vidhya
SEPTEMBER 19, 2023
Introduction A specific category of artificial intelligence models known as large language models (LLMs) is designed to understand and generate human-like text. The term “large” is often quantified by the number of parameters they possess. For example, OpenAI’s GPT-3 model has 175 billion parameters.
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