This whitepaper discusses enhancing iLog Analyzer’s performance using transfer learning through BERT-based LLMs. It focuses on improving log classification, anomaly detection, and root cause analysis by leveraging contextual embeddings. The paper details model fine-tuning and dataset optimization, resulting in reduced false positives and faster log interpretation. HCLTech demonstrates how this hybrid AI approach transforms IT monitoring into predictive, context-aware analytics.

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