An end-to-end tutorial on how to fine-tune large language models for specific domains or tasks, covering data preparation, model selection, training strategies, and deployment.

A comprehensive walkthrough on implementing translation and cross-lingual tasks using large language models: data collection, model fine-tuning, evaluation, and deployment.

A comprehensive look at how to develop a question-answering system from scratch: dataset collection, model fine-tuning, knowledge integration, and deployment.

From concept to practice, a step-by-step guide for building text generation applications: environment setup, data preprocessing, model fine-tuning, and deployment.

A deep dive into how large models operate under the hood and methods to optimize them effectively.

An introduction to large models, from basic concepts to practical applications.

An introduction to large models, from basic concepts to practical applications.

An introduction to large models, from basic concepts to practical applications.