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    1. #1
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      BlackHatX's Avatar
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      nfre Sam Woods – Bionic GPTs, AI Agents



      In this course, Sam Woods delves into the fascinating world of artificial intelligence and machine learning, focusing on the development of Bionic GPTs (Generative Pre-Trained Transformers) and AI agents. The course is designed to provide students with a comprehensive understanding of the latest advancements in AI and its applications.
      Course Objectives:

      • Understand the basics of artificial intelligence and machine learning
      • Learn how to develop and train Bionic GPTs
      • Explore the capabilities and limitations of AI agents
      • Develop practical skills in AI programming and deployment

      Course Outline:

      Introduction to Artificial Intelligence and Machine Learning

      • Overview of AI and its applications
      • Fundamentals of machine learning: supervised and unsupervised learning, neural networks, and deep learning
      • Introduction to Bionic GPTs and their role in AI

      Bionic GPTs – Theory and Implementation

      • In-depth exploration of Bionic GPTs: architecture, components, and training methods
      • Hands-on training with Bionic GPTs using popular frameworks such as PyTorch and TensorFlow
      • Case studies: applications of Bionic GPTs in natural language processing, computer vision, and speech recognition

      AI Agents – Design and Development

      • Introduction to AI agents: types, architectures, and characteristics
      • Designing and developing AI agents using popular frameworks such as OpenCV and Robot Operating System (ROS)
      • Case studies: applications of AI agents in robotics, autonomous vehicles, and game playing

      Advanced Topics in AI

      • Deep learning techniques: convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks
      • Transfer learning and fine-tuning pre-trained models
      • Exploring emerging trends in AI: Explainable AI, Adversarial Attacks, and Fairness in AI

      Practical Applications of AI Agents

      • Case studies: real-world applications of AI agents in industries such as healthcare, finance, and transportation
      • Hands-on exercises: designing and implementing AI agents for specific tasks
      • Challenges and limitations of AI agents in real-world scenarios

      Future Directions in AI Research

      • Emerging trends in AI research: multimodal learning, transfer learning, and reinforcement learning
      • Exploring the potential applications of AI in areas such as space exploration, education, and social media
      • Future directions for AI research: ethics, bias, and explainability




      Sales Page:
      Code:
      https://samueljwoods.com/



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  • #281
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    Ty

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  • #282
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    ty

  • #283
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    tyty

  • #284
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    Thank you!

  • #285
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    Thanks

  • #286
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    yasser6969's Avatar
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    Default Re: Sam Woods – Bionic GPTs, AI Agents

    THANKS
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