In today’s educational landscape, generative AI tools have become both a blessing and a challenge. While these tools offer unprecedented access to information, they’ve also created new concerns about academic integrity. Increasingly, students rely on AI to generate direct answers to homework questions, often at the expense of developing critical thinking skills and mastering core concepts.
]]>As large language models (LLM) gain popularity in various question-answering systems, retrieval-augmented generation (RAG) pipelines have also become a focal point. RAG pipelines combine the generation power of LLMs with external data sources and retrieval mechanisms, enabling models to access domain-specific information that may not have existed during fine-tuning.
]]>Mobile communication standards play a crucial role in the telecommunications ecosystem by harmonizing technology protocols to facilitate interoperability between networks and devices from different vendors. As these standards evolve, telecommunications companies face the ongoing challenge of managing complexity and volume. By leveraging generative AI, telecommunications companies can automate…
]]>