Fine-Tuning Language Models
Go beyond prompting by learning to fine-tune pre-trained language models on custom datasets. Adapt models like GPT, Llama, and BERT for specific domains and tasks to improve performance and accuracy.
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Foundations of Large Language Models and Prompt Engineering
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Foundations of Large Language Models
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Foundations of Large Language Models and Generative AI
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Foundations of Large Language Models and Prompt Engineering
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Getting Started with LLMs and Hugging Face
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Beginning Llamafile for Local Language Models
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Evaluating Large Language Models: Benchmarking and Assessment Guide
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LLM Fine-Tuning and Customization for Specific Domains
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Large Language Models with Hugging Face: A Practical Guide
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Building Generative AI Apps with Large Language Models on Azure
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Machine Learning Lifecycle: Build, Train, and Justify Models
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LLM and Generative AI Deployment with NVIDIA: Associate Exam Prep
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AI Model Fine-Tuning and Optimization for Accuracy
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Optimizing LLM Costs and Streamlining AI Workflows
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Machine Learning Model Optimization: Practical Hyperparameter Tuning
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App Development and LLM Fine-Tuning with the OpenAI API
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Building and Fine-Tuning LLM Applications
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Decoding Large Language Models: A Guide to LLMs and Generative AI
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LLM Engineering: Build and Deploy Applications with Large Language Models
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Local AI Development with Ollama and DeepSeek Reasoning Models
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Foundations of Large Language Models (LLMs) with ChatGPT and Llama
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Large Language Models (LLMs) Explained
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Large Language Models: A Beginner's Practical Guide
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Hugging Face: Selecting & Using Large Language Models
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Showing 49–72 of 218 courses