The recent GALA Association annual conference in Valencia has officially kick-started the conference season. And of course, the dominant issue (the only issue, I would say) was AI - or rather GenAI and how it is affecting the language industry,...
We introduced ECO Chat at the Big Data & AI exhibition in London last week, where we frequently talk with banking and financial institutions, traditionally reluctant to major technological changes unless they have been previously tested and passed...
Understand what a Mixture of Experts is how it works, and why it is behind the best LLM architectures.
Direct Preference Optimization (DPO) is a novel, emerging and innovative approach in the field of AI that makes use of the power of human preferences to optimize the performance of AI systems. Unlike traditional Reinforcement Learning algorithms,...
Artificial Intelligence (AI) is a transformative branch of computer science that focuses on creating intelligent machines and systems that can perform tasks typically requiring human intelligence. By undergoing training, AI systems learn from vast...
LLMs or Large Language Models (LLM) are advanced deep learning algorithms capable of performing a wide range of tasks related to natural language processing (NLP). At Pangeanic we know something about it because we have been building (more modest)...
Reinforcement Learning from Human Feedback (RLHF) is a very hot topic for all of us in the AI space. In essence, everyone that was exposed to some kind of machine translation re-training either offline or online is quite familiar with the concept...
Artificial intelligence (AI) and particularly NLP applications like GenAI have taken the world by surprise from the end of 2022. They really shook R&D plans in 2023: Microsoft snapped a $10Bn deal with OpenAI for the customized use of its ChatGPT...
2023 will be remembered for the two methodologies that have emerged as leaders: Large Language Models (LLMs) and Neural Machine Translation (NMT) systems.
Data is the fuel powering the AI revolution. However, organizations face a growing challenge: sharing their data with large tech giants for AI model training often means compromising the privacy of their users or sensitive business information. In...
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