LLM Training and Optimization (Turing)
TextFine Tuning
Trained and optimized large language models (LLMs) such as Gemini and LLaMA using Python for production deployment. This involved preparing datasets and implementing fine-tuning procedures on textual data. The work improved model performance for real-world applications.• Fine-tuned LLMs using curated datasets to enhance output quality.
• Optimized model parameters for better latency and throughput in production environments.
• Contributed to the integration of trained models into scalable APIs.
• Used Python and internal/proprietary workflows for data preparation and model training.
Trained and optimized large language models (LLMs) such as Gemini and LLaMA using Python for production deployment. This involved preparing datasets and implementing fine-tuning procedures on textual data. The work improved model performance for real-world applications.• Fine-tuned LLMs using curated datasets to enhance output quality. • Optimized model parameters for better latency and throughput in production environments. • Contributed to the integration of trained models into scalable APIs. • Used Python and internal/proprietary workflows for data preparation and model training.
2024 - Present