Fine-tuning

Fine-tuning is a crucial technique in deep learning that allows for the adaptation of pre-trained models to specific tasks or datasets. Coursera's Fine-tuning catalogue teaches you how to leverage transfer learning principles to efficiently repurpose existing neural networks for new applications, significantly reducing training time and computational resources. You'll learn to modify model architectures, freeze and unfreeze layers strategically, and implement fine-tuning techniques using popular frameworks like PyTorch and TorchVision. This skill empowers data scientists and machine learning engineers to create high-performing models for various domains, including computer vision and natural language processing, even with limited data or computational constraints.

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Results for "Fine-tuning"

  • Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Fine-tuning, Model Evaluation, Context Engineering, LangChain, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Deployment, Generative AI, LangGraph, Context Management, Vector Databases

  • Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Responsible AI, Model Evaluation, Fine-tuning, Model Deployment, Feature Engineering, LangChain, Model Optimization, Large Language Modeling, Generative Model Architectures, Generative AI, LLM Application, MLOps (Machine Learning Operations), Model Training, OpenAI API, Generative Adversarial Networks (GANs), Business Strategy, Python Programming

  • Skills you'll gain: Fine-tuning, Generative AI, Reinforcement Learning, Large Language Modeling, Generative Model Architectures, Machine Learning Methods, Model Optimization, Model Training, Model Evaluation

  • Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Generative Model Architectures, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)

  • Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, Transfer Learning, Data Preprocessing

  • Skills you'll gain: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management

  • Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Fine-tuning, Model Deployment, Responsible AI, Load Balancing, Large Language Modeling, Containerization, AI Security, Docker (Software), Model Optimization, Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Data Ethics, Image Quality

  • Skills you'll gain: LLM Application, Large Language Modeling, Fine-tuning, Generative AI, AI Personalization, Forecasting, Artificial Intelligence, AI Integrations, Natural Language Processing, Business Analysis, Technology Roadmaps, Innovation

  • Skills you'll gain: Hugging Face, Fine-tuning, Model Deployment, AI Workflows, LLM Application, Transfer Learning, Model Training, Model Optimization, Application Deployment, Large Language Modeling, Data Processing, Generative AI, Data Preprocessing, Data Sharing, Model Evaluation, Responsible AI, Metadata Management, Python Programming, Development Environment, Training Programs

  • Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

  • Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

  • Skills you'll gain: Retrieval-Augmented Generation, Generative AI Agents, Model Deployment, Generative AI, Agentic Workflows, Microsoft Azure, AI Workflows, Model Evaluation, Model Training, Fine-tuning, Microsoft Development Tools, MLOps (Machine Learning Operations), AI Integrations, Large Language Modeling, Model Optimization, Agentic systems