On the other hand, generative AI systems are not limited to specific tasks. They are trained on vast amounts of data and can generate new content based on the patterns they learn from that data. For example, a generative AI system can be trained on tree and flower images and generate new...
Image from IBM’s Youtube videoHumans vs. AI. Who's better at Phishing? What are some examples of AI Phishing? There have been some major AI Phishing attacks in 2024 already. Some more reminiscent of classic phishing attacks, and some very costly deepfakes. ...
What are the limitations of AI models? How can these potentially be overcome? We have yet to see the longtail effect of gen AI models. This means there are some inherent risks involved in using them—both known and unknown. The outputs gen AI models produce may often sound extremely convin...
What are the limitations of AI models? How can these potentially be overcome? Because they are so new, we have yet to see the long tail effect of generative AI models. This means there aresome inherent risksinvolved in using them—some known and some unknown. ...
Personal AI Chatbots As you can clearly see, Natural Language Processing (NPL) and language-based AI models are seeing some of the swiftest adoptions by businesses. Their use cases span many different types of tasks and tools. But language is far from the only thing that generative AI is ...
What is conversational AI? Why do you need conversational AI in 2023? How does conversational AI work? What are the benefits of conversational AI? What are the challenges of conversational AI? Examples of conversational AI Conversational AI use cases Conversational AI FAQs What is conversational AI...
Some AI (especially rule-based models) are deterministic, meaning that a given input will always lead to a certain output. However, most modern models are probabilistic, introducing some degree of randomness, which explains why if you input the exact same question into ChatGPT twice, you’re ...
GenAI has shown great promise in a variety of applications, but it also has significant limitations. Here are some of the most notable ones: 1. Non-Determinism: GenAI can produce different outputs even when given the same input multiple time...
Narrow AI refers to artificial intelligence systems that are designed to perform specific tasks and operate under limited constraints.
In spite of limitations, indexing in some form is very important in the efficient operation of rules based systems.A more complex matching is required when the preconditions of rule specify required properties that are not stated explicitly in the description of the current state. In this case, ...