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ARTIFICIAL INTELLIGENCE (2)

A short guide to Direct Preference Optimization (DPO)

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,...

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What is AI and what is Artificial General Intelligence? (AGI)

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...

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What is an LLM (Large Language Model)?

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)...

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What Is Reinforcement Learning from Human Feedback (RLHF) and How Does It Work?

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...

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AutoML and LLM Self-Training: Maintaining Data Privacy in the AI Revolution

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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What is OCR (Optical Character Recognition)?

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.

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Steps and Best Practices in AI Model Training

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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Generative AI: Privacy, Data Protection and How  it Can Affect your Business

Generative Artificial Intelligence (GenAI) uses deep learning to create new content in various formats. It is based on neural networks, a machine-learning process that mimics the way a human brain learns. By analyzing and training user input data ...

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The 4 pillars of Ethical AI – and why they’re important to Machine Learning

Working closely with our clients in the building of Ethical AI systems permeates Pangeanic’s culture and everything we do. But we not only talk the talk but walk the walk. To this end, we want to make public our conscious efforts in data collection,...

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Generative AI and Copyright Issues

Generative artificial intelligence (ChatGPT, for example) has become very promising for researchers and content creators of all kinds. However, it also poses  some risks yet to be explored, such as copyright infringement, among others. As AI tools...

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