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  • N Gram Language Models

Results for "n-gram language models"


  • Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluating Large Language Model Outputs: A Practical Guide

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Program Evaluation, Generative AI, Data Ethics, Google Cloud Platform, Quality Assessment, Verification And Validation, Image Quality, User Feedback, Human Factors, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Text Mining, Unsupervised Learning, Algorithms, Supervised Learning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Generative AI, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Harnessing Ollama – Create Local LLMs with Python

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Command-Line Interface, Python Programming, Application Development, User Interface (UI), Software Installation, Restful API, System Configuration, JSON, System Requirements, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, LLM Application, LangChain, Large Language Modeling, OpenAI, Scalability, Generative AI, Application Deployment, Data Integration, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Data Science, Machine Learning, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    AI Agents in LangGraph

    Skills you'll gain: LangGraph, LangChain, LLM Application, Generative AI Agents, OpenAI, Large Language Modeling, Prompt Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    252 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Generative AI, Large Language Modeling, Semantic Web, Natural Language Processing, Unsupervised Learning, Text Mining

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular n-gram language models courses

  • Evaluating Large Language Model Outputs: A Practical Guide: Coursera
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • NLP Modelos y Algoritmos: Universidad Austral
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera

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