Your natural neural network training dataset
The Tooploox RnD team, alongside researchers from other research institutions and universities, delivered a new framework that limits the effects of catastrophic forgetting in continual learning.
Faster prototyping, better feedback, reduced time to market - these are only examples off the top of our heads of how the design teams can leverage a no-code approach.
Cooking Chef - the cooking companion app designed for the Apple Vision Pro is a demonstration of the platform's capabilities and my journey through the entire lifecycle of app development—from conception to distribution.
This edition of Tooploox AI news covers the significant legal changes in the AI landscape, with the EU adopting the AI Act and the UN issuing their AI resolution.
Tooploox has pushed the boundaries of state-of-the-art methods to improve the quality of images by introducing the Dimma system.
The brand is currently one of the greatest assets of a company, with the most iconic brands being counted in millions of dollars. As with all assets, the brand also needs occasional maintenance.
Streamlit, on the other hand, advertises itself as a minimal Python framework, tailored specifically Data Scientists that helps build web applications
This edition will cover SORA model by OpenAI and how Apple is entering the AI race, as well as a new, more sophisticated model from Mistral. And last but not least - how Google is eating their cake and having it too as Gemini goes open source.
With generative AI and the explosion of use cases, companies are trying to make the best use of Large Language Models and RAG LLMs in their operations. What’s missing is a reliable LLM comparison that shows the strengths and weaknesses of the best LLMs...
We explore the top 7 trends in mobile app development, as identified by the Tooploox mobile development team, that are set to redefine our interaction with technology in the upcoming year.
