Final Year Project — Optimization in Large Language Models
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Researched and explored optimization techniques for improving large language model performance. Worked with structured text datasets to analyze model behavior and assess output quality. Studied the impact of data quality and labeling on the effectiveness of AI models.
• Designed evaluation criteria for LLM outputs.
• Performed analysis on labeled text data sets.
• Enhanced understanding of data labeling significance for language models.
• Applied theoretical and practical approaches to model output rating.
Researched and explored optimization techniques for improving large language model performance. Worked with structured text datasets to analyze model behavior and assess output quality. Studied the impact of data quality and labeling on the effectiveness of AI models. • Designed evaluation criteria for LLM outputs. • Performed analysis on labeled text data sets. • Enhanced understanding of data labeling significance for language models. • Applied theoretical and practical approaches to model output rating.
2023 - 2024