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  • Applying Gang Of Four Design Patterns Using Llms

Results for "applying gang of four design patterns using llms"


  • P

    Packt

    Creational Design Patterns in Modern C++

    Skills you'll gain: Software Design Patterns, Software Design, C++ (Programming Language), Software Architecture, Programming Principles, Object Oriented Programming (OOP), Maintainability, Prototyping, Database Application

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Harnessing Open Source LLMs and ChatGPT with Minimal Code

    Skills you'll gain: ChatGPT, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Python Programming, Software Installation, Open Source Technology, Development Environment, Real Time Data, Data Science

    Beginner · 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: Free
    Free
    D

    DeepLearning.AI

    AI Agentic Design Patterns with AutoGen

    Skills you'll gain: Generative AI Agents, Agentic systems, LLM Application, Generative AI, Large Language Modeling, Artificial Intelligence, Tool Calling, Prompt Engineering, Software Design Patterns

    4.6
    Rating, 4.6 out of 5 stars
    ·
    39 reviews

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    Structural Design Patterns in Modern C++

    Skills you'll gain: Unified Modeling Language, Software Design Patterns, C++ (Programming Language), Software Architecture, Object Oriented Design, Software Design, Object Oriented Programming (OOP), Maintainability, Programming Principles

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    250 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    ChatGPT Prompt Engineering for Developers

    Skills you'll gain: ChatGPT, Prompt Engineering, LLM Application, OpenAI, Large Language Modeling, Application Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    GenAI and LLMs on AWS

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, Continuous Monitoring, Data Ethics, Secure Coding, Responsible AI, Application Deployment, Generative AI, Cloud Computing, Serverless Computing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    Duke University

    GenAI Basics - How LLMs Work

    Skills you'll gain: Large Language Modeling, Generative AI, Machine Learning, Supervised Learning, Artificial Intelligence, Data Science, Data Modeling

    3.8
    Rating, 3.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    LLMs as Operating Systems: Agent Memory

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Generative AI Agents, ChatGPT, OpenAI, Prompt Engineering, Agentic systems, System Design and Implementation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • 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: Free
    Free
    D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Reinforcement Learning, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Intermediate · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular applying gang of four design patterns using llms courses

  • Creational Design Patterns in Modern C++: Packt
  • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • AI Agentic Design Patterns with AutoGen: DeepLearning.AI
  • Structural Design Patterns in Modern C++: Packt
  • AI Agents in LangGraph: DeepLearning.AI
  • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
  • GenAI and LLMs on AWS: Duke University
  • GenAI Basics - How LLMs Work: Duke University
  • LLMs as Operating Systems: Agent Memory: DeepLearning.AI

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