GPT stands for “Generative Pre-trained Transformer”. GPT models are a family of large neural network models that use the transformer architecture, which is well-suited for natural language processing tasks. The GPT models are built using self-supervised learning – they are trained on huge datasets of text from the internet to predict the next word in … Read more
The rapid development of artificial intelligence (AI) technologies like machine learning, computer vision, and natural language processing has led to increasing calls for some form of regulation. Proponents argue that regulation is necessary to mitigate risks, ensure accountability and transparency, and protect human rights. Opponents counter that premature or overly restrictive regulation could stifle innovation … Read more
The rapid development and adoption of artificial intelligence (AI) technologies have raised important questions about privacy and security. As AI systems become more sophisticated and integrated into various aspects of our lives, safeguarding personal data is paramount. This blog post examines key privacy and security considerations in the age of AI. Privacy Concerns with AI … Read more
Artificial intelligence (AI) is transforming industries and impacting people’s lives in profound ways. However, as AI systems become more sophisticated, their inner workings have also become increasingly complex and opaque. This lack of transparency can undermine trust in AI and limit its effectiveness in sensitive domains like healthcare, finance, and criminal justice. Explainable AI (XAI) … Read more
Artificial intelligence (AI) systems are increasingly being used to automate decisions in high-stakes domains like healthcare, criminal justice, and employment. However, these AI systems can perpetuate and amplify existing societal biases if not developed responsibly. Discriminatory algorithms can lead to unfair outcomes and widen inequities, making mitigating bias and discrimination essential considerations when building AI … Read more