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PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...

Nezaradené

PhD Themes 2024: Addressing Limitations of Large Language Models

Supervising team: Michal Gregor (supervisor, KInIT), Jana Kosecka (George Mason University)Keywords: large language models, deep learning, machine learning, multi-modal, in-context learning, long context, fine-tuning Large language models (LLMs) are powerful...

PhD Themes 2024: Improving Natural Language Processing

Supervising team: Marián Šimko (supervisor, KInIT), Jana Kosecka (George Mason University) or Martin Hurban (ČSOB)Keyword: large language models, natural language processing, trustworthy NLP, multilingual learning, information extraction The recent development...

PhD Themes 2024: Scientific Machine Learning

Supervising team: Viera Rozinajová (supervisor, KInIT), Anna Bou Ezzeddine (KInIT), Gabriela Grmanová (KInIT)Key words: Machine learning models, scientific machine learning, knowledge representation, transfer learning, energy domain, environment For decades, the...