Delft

The Office Operators - Delft Whitepark, Poortweg 4, Delft, Netherlands, 2612 PA

Whitepark is located directly at exit 9 of the A13, directly opposite IKEA. This visible location consists of two buildings in a green environment and is very striking because of the white exterior. The use of large windows provides an abundance of daylight in the office spaces. The concrete cast floors and light finish at a high level ensure a pleasant working environment.

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

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