Graph

Samsung Electronics (CEO Jong-hee Han) announced on the 18th that it has signed a contract to accumulate Oxford Semantic Technologies, a British startup with knowledge graph technology. Oxford Semantic Technologies is a startup co-founded in...

Because the world becomes increasingly data-driven, the demand for accurate and efficient search technologies has never been higher. Traditional search engines like google and yahoo, while powerful, often struggle to fulfill the complex and...

Let’s implement a regression example where the aim is to coach a network to predict the worth of a node given the worth of all other nodes i.e. each node has a single feature...

Optimising multi-model collaboration with graph-based orchestrationUsing graph theory has transformed the standard linear approaches to orchestrating AI models by providing a symphony of collaboration between diverse models.Frameworks like Intelli translate your workflow right into...

Large language models (LLMs) demonstrated impressive few-shot learning capabilities, rapidly adapting to latest tasks with only a handful of examples.Nonetheless, despite their advances, LLMs still face limitations in complex reasoning involving chaotic contexts overloaded...

Harnessing Deep Learning to Transform Untapped Data right into a Strategic Asset for Long-Term Competitiveness.Our goal was to predict business data based on physical data (and we did it). I'm pleased to tell you...

In case you were to ask GPT, find out how to create a graph of information from a given text? it could suggest a process just like the following.Extract concepts and entities from the...

An Introductory GuideIn this text, I would love to elucidate my journey in developing a model for automatic harmonic evaluation. Personally, I'm curious about understanding music deeply. Questions like: “Why are things structured the...