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  • Embeddings

Results for "embeddings"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Generative AI Agents, Prompt Engineering Tools, Embeddings, Agentic systems, Application Development, Query Languages, Data Pipelines, Data Persistence

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Getting Started with Vector Search and Embeddings

    Skills you'll gain: Embeddings, Google Cloud Platform, Vector Databases, Text Mining, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free
    Free
    D

    DeepLearning.AI

    Building Multimodal Data Pipelines

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Data Processing, Data Pipelines, Image Analysis, Prompt Engineering, Unstructured Data, Natural Language Processing, Text Mining, Computer Vision, Vector Databases, Data Capture, Sampling (Statistics)

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Model Training, Data Processing, AI Workflows, Data Preprocessing, Embeddings

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Vertex AI Embeddings: Text and Multimodal

    Skills you'll gain: Google Cloud Platform, Embeddings, Artificial Intelligence, Image Analysis, Multimodal Prompts, Vector Databases, AI Integrations

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Model Training, Large Language Modeling, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    Essential Concepts of Vector Databases

    Skills you'll gain: Vector Databases, Large Language Modeling, LangChain, Embeddings, LLM Application, Database Management Systems, Retrieval-Augmented Generation, Databases, Query Languages, Database Management, OpenAI API, Data Management, Development Environment, Document Management, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Hugging Face, Generative AI, Model Optimization, OpenAI API, Natural Language Processing, Model Training, Large Language Modeling, Generative Model Architectures, LLM Application, Transfer Learning, Embeddings, Python Programming, Artificial Intelligence, Data Preprocessing

    Intermediate · Course · 3 - 6 Months

1…789…32

In summary, here are 10 of our most popular embeddings courses

  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • Getting Started with Vector Search and Embeddings: Google Cloud
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Machine Learning with PySpark: Recommender System: Coursera
  • Building Multimodal Data Pipelines: DeepLearning.AI
  • Customising your models with TensorFlow 2: Imperial College London
  • Introduction to Vertex AI Embeddings: Text and Multimodal: Google Cloud
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Essential Concepts of Vector Databases: Packt

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