AI News

2105 05330 Neuro-Symbolic Artificial Intelligence: Current Trends

2102 03406 Symbolic Behaviour in Artificial Intelligence Second, it can learn symbols from the world and construct the deep symbolic networks automatically, by utilizing the fact that real world objects have been naturally separated by singularities. Third, it is symbolic, with the capacity of performing causal deduction and generalization. Fourth, the symbols and the links

2105 05330 Neuro-Symbolic Artificial Intelligence: Current Trends Read More »

Bot Names: What to Call Your Chatty Virtual Assistant Email and Internet Marketing Blog

The Hidden Business Risks of Humanizing AI For any inquiries, drop us an email at We’re always eager to assist and provide more information. However, it will be very frustrating when people have trouble pronouncing it. There are different ways to play around with words to create catchy names. For instance, you can combine two

Bot Names: What to Call Your Chatty Virtual Assistant Email and Internet Marketing Blog Read More »

How AI in Gaming is Redefining the Future of the Industry

Gaming Intelligence: How AI is revolutionizing game development “I also think that Natural Language Processing will help gamers with disabilities, for example, getting text from speech.” The use of AI in blockchain gaming and GameFi is becoming increasingly popular, with AI-powered smart contracts enabling new forms of decentralized gaming and more intelligent player reward systems.

How AI in Gaming is Redefining the Future of the Industry Read More »

Generative AI vs Machine Learning: The Differences

What Is Generative AI? Definition and Applications of Generative AI Its utility becomes particularly evident in addressing repetitive tasks, which in turn permits developers to dedicate their attention to intricate challenges and problem-solving. In the context of traditional pair programming, two developers collaborate closely at a shared workstation. One developer actively writes the code, while

Generative AI vs Machine Learning: The Differences Read More »

#191: Writing Goals for Gestalt Language Processors with Katja Piscitelli SLP Now

Natural Language Processing With Python’s NLTK Package You can always modify the arguments according to the neccesity of the problem. You can view the current values of arguments through model.args method. These are more advanced methods and are best for summarization. Yet the way we speak and write is very nuanced and often ambiguous, while

#191: Writing Goals for Gestalt Language Processors with Katja Piscitelli SLP Now Read More »

How to build a scalable ingestion pipeline for enterprise generative AI applications

Conversational AI vs Generative AI: Choosing the Right AI Strategy for Your Business To do this, conversational AI uses Natural Language Processing (NLP) to identify components of language and “understand” the meaning of the word and syntax. It can recognize grammar, spot spelling errors and pinpoint sentiment as a result. Once the conversational AI tool

How to build a scalable ingestion pipeline for enterprise generative AI applications Read More »

Building a Large Language Model LLM from Scratch with JavaScript: Comprehensive Guide

How to Build a Large Language Model from Scratch Using Python A. The main difference between a Large Language Model (LLM) and Artificial Intelligence (AI) lies in their scope and capabilities. AI is a broad field encompassing various technologies and approaches aimed at creating machines capable of performing tasks that typically require human intelligence. LLMs,

Building a Large Language Model LLM from Scratch with JavaScript: Comprehensive Guide Read More »

Scroll to Top