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A revolutionary use of AI is represented by Large Language Model (LLM) agents, which use large-scale natural language processing models such as …

Two of the most familiar approaches in artificial intelligence (AI) are deep learning and reinforcement learning. While both have important roles in …

Artificial Intelligence (AI) has advanced at an extraordinary pace, breaking barriers and revolutionizing industries. While single-modality AI systems, like text-based models or …

In the evolving world of artificial intelligence, fine-tuning and training methods play a crucial role in improving the performance of language models. …

Data annotation is important in the models’ training in machine learning for large language models. The quality of the training data directly …

Technology is having a significant impact on the paradigm shift that is taking place in the realm of education. Large Language Models, …

With large language models such as ChatGPT, GPT-4, and others in AI that have changed industries and enriched user experience, evaluation has …

With the increasing dependency on large language models, like GPT-3 and GPT-4, it is necessary to ensure that the models work ethically …

In our increasingly interconnected world, the ability to communicate across languages has never been more critical. Whether for global business dealings, international …

The need for intercultural and interlingual communication is heightened by the global impact of globalization. By incorporating interpretative services, language barriers can …

With the growing dependency on generative artificial intelligence (AI) platforms, checking their accuracy and authenticity is necessary. Gen AI platforms play a …

In the era of artificial intelligence, the saying “garbage in, garbage out” rings more true than ever. Data quality forms the basis of AI …