Fine-Tuning Training in Chengdu

Online or onsite, instructor-led live Fine-Tuning training courses demonstrate through interactive hands-on practice how to use customized machine learning models to optimize performance for specific tasks, datasets, or applications.

Fine-Tuning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Chengdu onsite live Fine-Tuning trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

NobleProg Training Place, City Chengdu Times Plaza without photo.

26/F, 26th Floor, Block A, 2 Sifu Road, Chengdu, China, 610016

The Chengdu Times Plaza Centre is located in one of the most prestigious buildings in the central business district of Chengdu. Home to several Fortune 500 companies working in banking, IT and electronics, car manufacturing and construction, the building is also well located for public transport, hotels and retail outlets. Like the building, the surrounding area is a hub for some of the world's largest corporations with Chengdu's international profile continuing to rise. This is due to the government's promotion of the region in China's Go West policy, which is devoted to stimulating economic activity in western China. The city is rapidly becoming the main financial district in western China. Many hi-tech companies have also begun to settle in Chengdu.

Explore Our Courses

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

14 Hours

Fine-Tuning Legal AI Models: Contract Review and Legal Research

14 Hours

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

14 Hours

Fine-Tuning AI for Financial Services: Risk Prediction and Fraud Detection

14 Hours

Continual Learning and Model Update Strategies for Fine-Tuned Models

14 Hours

Fine-Tuning Lightweight Models for Edge AI Deployment

14 Hours

Fine-Tuning Vision-Language Models (VLMs)

14 Hours

Safety and Bias Mitigation in Fine-Tuned Models

14 Hours

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

14 Hours

Fine-Tuning Open-Source LLMs (LLaMA, Mistral, Qwen, etc.)

14 Hours

Parameter-Efficient Fine-Tuning (PEFT) Techniques for LLMs

14 Hours

Fine-Tuning Large Language Models Using QLoRA

14 Hours

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

14 Hours

Domain-Specific Fine-Tuning for Finance

21 Hours

Troubleshooting Fine-Tuning Challenges

14 Hours

Optimizing Large Models for Cost-Effective Fine-Tuning

21 Hours

Prompt Engineering and Few-Shot Fine-Tuning

14 Hours

Fine-Tuning Multimodal Models

28 Hours

Fine-Tuning DeepSeek LLM for Custom AI Models

21 Hours

Deploying Fine-Tuned Models in Production

21 Hours

Advanced Techniques in Transfer Learning

14 Hours

Introduction to Transfer Learning

14 Hours

Efficient Fine-Tuning with Low-Rank Adaptation (LoRA)

14 Hours

Fine-Tuning Models and Large Language Models (LLMs)

14 Hours

Fine-Tuning for Natural Language Processing (NLP)

21 Hours

Last Updated: 2025-05-07

Upcoming Courses

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Fine-Tuning Training in Chengdu

Chengdu Times Plaza

Explore Our Courses

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

Fine-Tuning Legal AI Models: Contract Review and Legal Research

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

Fine-Tuning AI for Financial Services: Risk Prediction and Fraud Detection

Continual Learning and Model Update Strategies for Fine-Tuned Models

Fine-Tuning Lightweight Models for Edge AI Deployment

Fine-Tuning Vision-Language Models (VLMs)

Safety and Bias Mitigation in Fine-Tuned Models

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Fine-Tuning Open-Source LLMs (LLaMA, Mistral, Qwen, etc.)

Parameter-Efficient Fine-Tuning (PEFT) Techniques for LLMs

Fine-Tuning Large Language Models Using QLoRA

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Domain-Specific Fine-Tuning for Finance

Troubleshooting Fine-Tuning Challenges

Optimizing Large Models for Cost-Effective Fine-Tuning

Prompt Engineering and Few-Shot Fine-Tuning

Fine-Tuning Multimodal Models

Fine-Tuning DeepSeek LLM for Custom AI Models

Deploying Fine-Tuned Models in Production

Advanced Techniques in Transfer Learning

Introduction to Transfer Learning

Efficient Fine-Tuning with Low-Rank Adaptation (LoRA)

Fine-Tuning Models and Large Language Models (LLMs)

Fine-Tuning for Natural Language Processing (NLP)

Upcoming Courses

Introduction to Transfer Learning

Deploying Fine-Tuned Models in Production

Domain-Specific Fine-Tuning for Finance

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Deploying Fine-Tuned Models in Production

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