How Knowledge Graphs Make LLMs Accurate, Transparent, and Explainable
When LLMs are reinforced with knowledge graphs, they have the potential to significantly benefit knowledge
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Reskilling & Upskilling Talent in the Age of AI
Upskilling AI talent is not just a necessity but a moral imperative to shape a future where AI is used ethically and responsibly.
Is AI Advancing Too Quickly?
Until AI advances to the point where it can actually think for itself, understand, and exhibit something that more closely resembles human-like intelligence …
NUS Open-Sources Multi-Modal Language Model, NExT-GPT
NExT-GPT's release offers developers a powerful multi-modal language model that can handle diverse inputs and outputs, paving the way for more sophisticated AI …
Real-time Analytics News for the Week Ending November 25
In this week's real-time analytics news: Amazon’s new AI Ready initiative seeks to bring AI to the
How to Make “Reasoning Computers” Possible
Semantic technology, and semantic knowledge graphs in particular, continue to push the boundaries of what intelligent computers can achieve.
Tap the Potential of Conversational CX with AI
Organizations can rely on AI-enabled tools to deploy conversational CX initiatives that positively impact customer loyalty and add value to their bottom lines.
Vector Database Market Set to Grow Significantly by 2028
The growing prevalence of AI and ML applications necessitates efficient storage and querying of high-dimensional data. Vector databases are pivotal in …
Governing the Use of AI
When it comes to governing the use of AI, compliance starts from the top. It is vital that AI policies are not developed in a vacuum and that company …
DeepMind’s OPRO Technique Enhances AI Math Skills with Human-Style Encouragement
The approach has the potential to enhance problem-solving capabilities and produce more precise outcomes, making AI models more effective in various …