LLM

Language Models and Beyond: Trends in NLP NLP has shifted from hand-crafted rules to data-driven systems powered by transformers and large language models. This change lets apps understand and generate language with surprising fluency, yet it also requires careful planning. Teams often start with a strong base model and adapt it to a task through prompting, retrieval, or light fine-tuning. The result can be faster development, lower costs, and a better fit for real user needs—when risk is managed and performance is measured. ...