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...
Optical character recognition (OCR) is a tool that uses artificial intelligence algorithms and models to convert images of printed or handwritten text into editable text.
The proliferation of machine translation systems has surged in the global digital landscape, powered primarily by advancements in Natural Language Processing (NLP) and Artificial Intelligence (AI). While these systems exhibit remarkable abilities in...
We will explain what the figure of the NLP practitioner is, how it is characterized, how someone can be trained for it, what requirements must be met, etc.
Artificial intelligence model training is a process in which an algorithm is taught to correctly interpret data and make accurate decisions based on that data, in order to solve certain tasks.
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