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Results for "debugging dependency conflicts using llms"

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Debugging Embedded Systems

    Skills you'll gain: Debugging, Failure Analysis, Embedded Systems, Systems Engineering, Simulation and Simulation Software, Technical Communication, Engineering Management, Engineering Practices

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    243 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Team Software Engineering with AI

    Skills you'll gain: Software Documentation, LLM Application, Test Automation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Debugging, Code Review, Maintainability, Software Engineering, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Understanding Large Language Models in Business

    Skills you'll gain: Large Language Modeling, LLM Application, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Program Development, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), MarTech, Artificial Neural Networks, Content Marketing, Customer experience improvement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Operationalizing LLMs on Azure

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI, MLOps (Machine Learning Operations), Responsible AI, Cloud Computing, Application Deployment, Application Programming Interface (API), Python Programming, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Preprocessing Unstructured Data for LLMs and RAG Systems

    Skills you'll gain: LangChain, LLM Application, Real Time Data, Application Frameworks, Document Management, Data Store, Data Quality, Image Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building Intelligent Troubleshooting Agents

    Skills you'll gain: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Decision Support Systems, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Build Intelligent Agents Using DeepSeek & N8N

    Skills you'll gain: Workflow Management, No-Code Development, Deepseek, LLM Application, Business Process Automation, Generative AI, Automation, Application Deployment, Data Integration, Data Analysis Software, Google Sheets, Gmail

    4
    Rating, 4 out of 5 stars
    ·
    25 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
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Debugging: Hunting and Squashing Bugs

    Skills you'll gain: Debugging, Unit Testing, Integrated Development Environments, Development Testing, Technical Communication, Python Programming, File Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    727 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: LLM Experimentation, Deployment, and Ethical AI

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability

    Intermediate · Course · 1 - 4 Weeks

1234…504

In summary, here are 10 of our most popular debugging dependency conflicts using llms courses

  • Modeling and Debugging Embedded Systems: University of Colorado Boulder
  • Team Software Engineering with AI: DeepLearning.AI
  • Understanding Large Language Models in Business: Coursera Instructor Network
  • Operationalizing LLMs on Azure: Duke University
  • End to End LLMs with Azure: Duke University
  • Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
  • Building Intelligent Troubleshooting Agents: Microsoft
  • Build Intelligent Agents Using DeepSeek & N8N : Board Infinity
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Debugging: Hunting and Squashing Bugs: University of Michigan

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