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When customers don’t explicitly tell you what they wantPhoto by Noom Peerapong on UnsplashMaking recommendations is actually not that hard. You just have to check how…
In conversational AI, evaluating the Theory of Mind (ToM) through question-answering has become an essential benchmark. However, passive narratives need to improve in assessing ToM capabilities.…
Reaction-Diffusion is quite a complicated process; if you want to read the mathematical logic, you can visit the RD master Karl Sims’ website:Let’s start with a…
FreeNoise is introduced by researchers as a method to generate longer videos conditioned on multiple texts, overcoming limitations in existing video generation models. It enhances pretrained…
Consistency models represent a category of generative models designed to generate high-quality data in a single step without relying on adversarial training. These models attain optimal…
Training a large language model requires significant computational resources, including powerful GPUs and TPUs, as well as specialized hardware such as AI accelerators. These resources can…
The debate over the encroachment of machines replacing human jobs and the emergence of collaborative robots (cobots) has taken center stage. This discourse holds immense relevance…
Today’s executives are always looking for ways to help their companies and workers achieve progressively better outcomes. Artificial intelligence (AI) and machine learning are important tools…
Platform Specific Tools and Advanced TechniquesPhoto by Christopher Burns on UnsplashThe modern data ecosystem keeps evolving and new data tools emerge now and then. In this…
In many domains that involve machine learning, a widely successful paradigm for learning task-specific models is to first pre-train a general-purpose model from an existing diverse…