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AI Theory

Mitigating Bias in Recommender Systems with Holistic AI
AI Theory
AI Theory
Mitigating Bias in Recommender Systems with Holistic AI
Recommender systems – which collect data from user preferences and historical data to feed algorithms – have become an integral part of our online experiences, guiding us in our decision-making processes and suggesting personalised content, products, or services.
Three Key Reasons Your Organisation Needs Responsible AI
AI Theory
AI Theory
Three Key Reasons Your Organisation Needs Responsible AI
The choices we collectively make regarding AI will profoundly shape the future world. With the technology in a phase of rapid adoption, those responsible for the creation and use of AI systems are in a position of huge influence. They can steer us towards a brighter future if they embrace the principles and techniques of responsible AI, a school of thought that seeks to make AI ethical, fair, and beneficial for society.
Exploring AI: A Modern Approach to Understanding Its Applications and Impact
AI Theory
AI Theory
Exploring AI: A Modern Approach to Understanding Its Applications and Impact
Definitions of Artificial Intelligence (AI) vary in complexity depending on who you ask. Even lawmakers are struggling to define the exact parameters of what is considered AI. The EU AI Act, for example, deems that any system with a degree of autonomy capable of making predictions, recommendations, or decisions should be classed as AI.
Unveiling the Power, Challenges, and Impact of Large Language Models
Unveiling the Power, Challenges, and Impact of Large Language Models
This blog explores the evolution of large language models, starting from the launch of InstructGPT, addressing their capabilities, challenges, and limitations, as well as analyzing emerging perspectives and approaches in the field. The content focuses on key AI concepts such as transformers and prompt engineering. It also discusses generative AI models, their potential for artificial general intelligence (AGI), and new challenges and concerns in society regarding their use and development. Finally, innovative strategies are mentioned that seek to overcome current limitations of language models and improve their effectiveness and versatility.
SHAP Values: An Intersection Between Game Theory and Artificial Intelligence
SHAP Values: An Intersection Between Game Theory and Artificial Intelligence
Game Theory was an intellectual advance built at final of World War II and initially had mathematicians as its main contributors. Over time, researchers from other areas began to adopt this theoretical framework, highlighting economists and political scientists. The Shapley value describes a method to distribute the total gain to players if they all collaborate in a specific coalition strategy. We can describe that SHAP (SHapley Additive exPlanation) values attribute to each feature the change in the expected model prediction when conditioning on that feature.
Overview of Large Language Models: From Transformer Architecture to Prompt Engineering
Overview of Large Language Models: From Transformer Architecture to Prompt Engineering
At the heart of this technology lies the innovative Transformer architecture. A deep learning model that has redefined the way we process natural language text due to its remarkable efficiency. In this article, we dive into the details of Transformer, exploring its impressive history of modification and improvement. By the end, you'll have a solid grasp of the cutting-edge technology driving the language models of today.
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