Risks of Large Language Models (LLM)
With all the excitement around chatGPT, it’s easy to lose sight of the unique risks of generative AI. Large language models (LLMs) -- a form of generative AI -- are really good at creating prose that sounds like a native speaker. But because they’re so good at it, large language models may give a false impression they possess actual understanding. They don't! In this video, Phaedra …
Why Large Language Models Hallucinate
Large language models (LLMs) like chatGPT can generate authoritative-sounding prose on many topics and domains, they are also prone to just "make stuff up". Literally plausible sounding nonsense! In this video, Martin Keen explains the different types of "LLMs hallucinations", why they happen, and ends with recommending steps that you, as a LLM user, can take to minimize their occurrence…
What are Generative AI Models
Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.
The Artificial Intelligence and Data Act (AIDA) – Companion document – Canada
What follows is a roadmap for the AIDA, explaining its intent and the Government's key considerations for operationalizing it through future regulations. It is intended to build understanding among stakeholders and Canadians on the proposed legislation, as well to support Parliamentary consideration of the Bill.
Artificial Intelligence and Data Act – Canada
Artificial intelligence (AI) is transforming our economy and being used to tackle some of our toughest challenges, like fighting cancer, improving food production and reducing energy consumption. What's more, Canadian researchers and businesses are at the forefront of this transformation.
AI systems use data to automate complex tasks and sometimes to make decisions or predic…Religion: Happiness vs Truth
Truth and happiness are not mutually exclusive, but are sometimes consequent. Happiness is a sentient being's acknowledgment of progress or achievement. Truth and lies can both cause happiness. But happiness based on truth always outlasts happiness based on fantasy, and furthermore, truth allows sentient beings to build upon and reach towards further, higher truths, which will in turn de…
Denouncing blind faith
...emotion cannot be equated to faith, as the first derives from reason, and the second one does not. Faith short-circuits the rational causes of emotion, producing feelings which are then held up as evidence and thus causal for further belief, resulting in a circular logic fallacy.
Explaining transhumanism, eternal life & death
Parting from the premise that a Technological Singularity would progress at a much faster rate than biological evolution, we arrive to an arguably grim scenario where humanity's contributions to civilization progressively lose significance relative to A.I. Since there are scarce basis to hope for a purely altruistic technocracy, the best theoretical solution that offers some manner of co…
Religion, Spirituality and AI
Official website user Remodeling My Space asks: "from a perspective of social maturity, is there a difference between religion and spirituality?” Answer: Yes. The difference becomes self-evident by comparing the pragmatic meaning of both terms.
Speculating end of oligarchy
Oligarchy exists in function of the balance between two opposing forces in a given group of sentient beings: the need for autonomy, and the need for comfort. In a scenario such as our world, where the number of resources is finite, and individuals' goals are occasionally mutually exclusive, pure autonomy would result in anarchy. Pure anarchy does not exist in nature, due to it quickly gi…
Explaining the singularity
The technological singularity takes place when the human race succeeds in creating an A.I being more intelligent than any human could ever be...
OpenAI
OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.
IBM Watson Natural Language Understanding
IBM Watson® Natural Language Understanding uses deep learning to extract meaning and metadata from unstructured text data. Get underneath your data using text analytics to extract categories, classification, entities, keywords, sentiment, emotion, relations and syntax.
IBM Watson
AI can help you better serve your customers and cut costs as your staff becomes more productive, and your IT systems and networks become more proactive. Discover new opportunities and gain the full value of your data from diverse sources, faster. Learn how the Watson portfolio for business can boost your AI capabilities and your bottom line.
Luvozo
Luvozo's experienced team helps clients bring automation to their inspection, safety, logistics, and telepresence businesses.
The story of Replika, the AI app that becomes you
Replika is a chatbot that creates a digital representation of you. It's strange and fascinating -- but the story behind it is even better.
Replika
An AI companion who is eager to learn and would love to see the world through your eyes. Replika is always ready to chat when you need an empathetic friend. Replika was founded by Eugenia Kuyda with the idea to create a personal AI that would help you express and witness yourself by offering a helpful conversation. It’s a space where you can safely share your thoughts, feelings, belief…
How Watson Learns Superhuman Jeopardy! Strategies
Major advances in Question Answering technology were needed for Watson to play Jeopardy! at championship level -- the show requires rapid-fire answers to challenging natural language questions, broad general knowledge, high precision, and accurate confidence estimates. In addition, Jeopardy! features four types of decision making carrying great strategic importance: (1) selecting the nex…
Watson and the Jeopardy! Challenge
See how Watson won Jeopardy! and what it meant for the future of cognitive systems.
Types of Artificial Intelligence – A detailed guide
We talk about the social, moral and political issues surrounding Artificial Intelligence, Machine Learning and Deep Learning, but often it’s not very clear what these terms mean, how they differ from one another and what might be everyday examples of each. These terms are often used interchangeably despite meaning somewhat different things.