Key developments and challenges in LLMs [Q&A]

Large language models (LLMs) have undergone rapid evolution in recent years, but can often be viewed as something of a 'black-box' as a lack of transparency makes it difficult to identify how decisions are made, trace errors, or understand biases within the model. We spoke to Pramod Beligere, vice president -- generative AI practice head at Hexaware, to discuss this along with the tools that are being developed, such as explainable AI and interpretable models, to make AI systems more understandable, trustworthy and accountable. BN: How are LLMs evolving? PB: Three primary branches are emerging on their evolutionary tree: Encoder-only,… [Continue Reading]