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  • Nlp Model Fine Tuning

Results for "nlp+model+fine-tuning"


  • Status: New
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    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Real Time Data, Business Strategy, Python Programming

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    Rating, 4 out of 5 stars
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    69 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    880 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI Advance Fine-Tuning for LLMs

    Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    119 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    137 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    H2O.ai

    Large Language Models

    Skills you'll gain: Large Language Modeling, Model Evaluation, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, LLM Application, Data Preprocessing, Prompt Engineering, Generative Model Architectures, Training Programs, Data Validation, Data Cleansing, Natural Language Processing, Applied Machine Learning, Transfer Learning, Verification And Validation, Data Quality, AI Workflows

    3.5
    Rating, 3.5 out of 5 stars
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    13 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

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  • Status: New
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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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In summary, here are 10 of our most popular nlp+model+fine-tuning courses

  • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
  • Generative AI Engineering with LLMs: IBM
  • Generative AI Advance Fine-Tuning for LLMs : IBM
  • Generative AI Language Modeling with Transformers: IBM
  • Introduction to Transformer Models for NLP: Pearson
  • Large Language Models: H2O.ai
  • Generative AI Engineering and Fine-Tuning Transformers: IBM
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Machine Learning: DeepLearning.AI
  • Fine-Tune & Optimize Generative AI Models: Coursera

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