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    Results for "fundamentals of large language models (llms)"

    • Status: New
      New
      P

      Packt

      Harnessing Ollama – Create Local LLMs with Python

      Skills you'll gain: Large Language Modeling, Command-Line Interface, Generative AI, Python Programming, Prompt Engineering, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Application Development, User Interface (UI), Software Installation, Application Programming Interface (API), System Configuration, System Requirements, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      LangChain and Workflow Design Course

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Artificial Intelligence, Application Development, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Function-Calling and Data Extraction with LLMs

      Skills you'll gain: Large Language Modeling, Unstructured Data, SQL, Text Mining, Web Services, Prompt Engineering, Application Development, Generative AI, Application Programming Interface (API), Data Processing, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Project · Less Than 2 Hours

    • P

      Packt

      LangChain MasterClass: Build 15 LLM Apps with Python

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Data Processing, PyTorch (Machine Learning Library), Generative AI, Artificial Intelligence, Python Programming, Application Development, Natural Language Processing, Application Programming Interface (API), Jupyter

      3.4
      Rating, 3.4 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Summarize Text using SQL and LLMs in BigQuery ML

      Skills you'll gain: Google Cloud Platform, Large Language Modeling, Generative AI, Cloud API, Natural Language Processing, SQL, Machine Learning

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Introducing Multimodal Llama 3.2

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, API Design, Application Programming Interface (API), Open Source Technology, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Project · Less Than 2 Hours

    • D

      Duke University

      Local LLMs with llamafile

      Skills you'll gain: Real Time Data, Large Language Modeling, Application Deployment, Command-Line Interface, System Monitoring, Generative AI, Open Source Technology, Cross Platform Development, Application Programming Interface (API), Machine Learning

      2.3
      Rating, 2.3 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Embedding Models: From Architecture to Implementation

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Semantic Web, Natural Language Processing, Text Mining, Applied Machine Learning

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Harnessing LLMs & Text-Embeddings API with Google Vertex AI

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, Cloud API, Prompt Engineering, Application Programming Interface (API), Unsupervised Learning, Natural Language Processing, Applied Machine Learning, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Automated Reasoning with GPT Assistant API: ReAct Agents

      Skills you'll gain: OpenAI, Generative AI Agents, ChatGPT, Cost Benefit Analysis, Business Process Automation, Large Language Modeling, Generative AI, Application Programming Interface (API), Development Environment, Business Logic, Prompt Engineering, Scalability, Artificial Intelligence, Business Analysis, Business Solutions, Personalized Service, TypeScript, Node.JS, Application Security

      Intermediate · Guided Project · Less Than 2 Hours

    1…8910…834

    In summary, here are 10 of our most popular fundamentals of large language models (llms) courses

    • Harnessing Ollama – Create Local LLMs with Python: Packt
    • LangChain and Workflow Design Course: Simplilearn
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Function-Calling and Data Extraction with LLMs: DeepLearning.AI
    • LangChain MasterClass: Build 15 LLM Apps with Python: Packt
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Summarize Text using SQL and LLMs in BigQuery ML: Google Cloud
    • Introducing Multimodal Llama 3.2: DeepLearning.AI
    • Local LLMs with llamafile: Duke University
    • Embedding Models: From Architecture to Implementation: DeepLearning.AI

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