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Pangeanic Blog

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Neural Machine Translation versus Prompting-Based LLM Translation - How Close Are We?

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,...

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How generative AI can help banking and financial institutions manage risk and regulatory compliance

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...

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Demystifying Mixture of Experts (MoE): The future for deep GenAI systems

Understand what a Mixture of Experts is how it works, and why it is behind the best LLM architectures.

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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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How Synthetic Data and Human IP-Clear Data Can Boost StartUps’ AI Projects

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...

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Advantages and Disadvantages of LLM Machine Translation versus Neural Machine Translation

2023 will be remembered for the two methodologies that have emerged as leaders: Large Language Models (LLMs) and Neural Machine Translation (NMT) systems.

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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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