Fine-Tuning Školení v České republice

Online nebo na místě, živé výuky vedoucího demonstruje prostřednictvím interaktivní praxe, jak využívat individualizované modely strojového učení pro optimalizaci výkonu specifických úkolů, datových sad nebo aplikací.

Výuka Fine-Tuning je dostupná jako "online živá výuka" nebo "živá výuka na místě". Online živá výuka (též nazývaná "vzdálená živá výuka") probíhá prostřednictvím interaktivního vzdáleného plochy. Živá výuka na místě se může konat lokálně na zákaznických předměstích v České republice nebo v tréninkových centrech společnosti NobleProg v České republice.

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Fine-Tuning Defense AI for Autonomous Systems and Surveillance

14 hodiny

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

14 hodiny

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

14 hodiny

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

14 hodiny

Continual Learning and Model Update Strategies for Fine-Tuned Models

14 hodiny

Fine-Tuning Lightweight Models for Edge AI Deployment

14 hodiny

Fine-Tuning Vision-Language Models (VLMs)

14 hodiny

Safety and Bias Mitigation in Fine-Tuned Models

14 hodiny

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

14 hodiny

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

14 hodiny

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

14 hodiny

Fine-Tuning Large Language Models Using QLoRA

14 hodiny

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

14 hodiny

Domain-Specific Fine-Tuning for Finance

21 hodiny

Troubleshooting Fine-Tuning Challenges

14 hodiny

Optimizing Large Models for Cost-Effective Fine-Tuning

21 hodiny

Prompt Engineering and Few-Shot Fine-Tuning

14 hodiny

Fine-Tuning Multimodal Models

28 hodiny

Fine-Tuning DeepSeek LLM for Custom AI Models

21 hodiny

Deploying Fine-Tuned Models in Production

21 hodiny

Advanced Techniques in Transfer Learning

14 hodiny

Introduction to Transfer Learning

14 hodiny

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

14 hodiny

Fine-Tuning Models and Large Language Models (LLMs)

14 hodiny

Fine-Tuning for Natural Language Processing (NLP)

21 hodiny

Last Updated: 2025-05-07

Upcoming Courses

Fine-Tuning Large Language Models Using QLoRA

2025-06-09 09:30

14 hodiny

Praha, Pražský hrad

3000 EUR (Online)

3400 EUR (Učebna)

Introduction to Transfer Learning

2025-06-23 09:30

14 hodiny

Brno

3000 EUR (Online)

3000 EUR (Učebna)

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

2025-07-07 09:30

14 hodiny

Ostrava

3000 EUR (Online)

3000 EUR (Učebna)

Fine-Tuning Multimodal Models

2025-07-21 09:30

28 hodiny

Praha, Pražský hrad

6000 EUR (Online)

6800 EUR (Učebna)

Troubleshooting Fine-Tuning Challenges

2025-08-04 09:30

14 hodiny

Brno

3000 EUR (Online)

3000 EUR (Učebna)

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

2025-08-18 09:30

14 hodiny

Ostrava

3000 EUR (Online)

3000 EUR (Učebna)

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Fine-Tuning Školení v České republice

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

Fine-Tuning Large Language Models Using QLoRA

Introduction to Transfer Learning

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

Fine-Tuning Multimodal Models

Troubleshooting Fine-Tuning Challenges

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

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