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technology
Hosted by Stuart Hilman · technology · EN · 21 episodes
Learn AI programming faster than you thought possible! Join us as we break down complex concepts into digestible lessons, explore hands-on projects, and share insider tips from industry experts. Whether you're a coding novice or experienced developer looking to pivot into AI, each episode provides practical strategies to accelerate your learning journey. We'll cover essential frameworks like TensorFlow and PyTorch, navigate the Python ecosystem, and help you avoid the time-wasting pitfalls that slow most learners down. Subscribe now to transform your AI programming skills in record time
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Signup to Generate a PitchBuilding functional AI applications is a technology podcast hosted by Stuart Hilman, with 21 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Stuart Hilman hosts Building functional AI applications, a technology show with 21 episodes published.
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Building functional AI applications
Look ahead to the cutting-edge developments shaping the next generation of AI applications. We'll discuss multimodal AI, few-shot learning, emerging hardware accelerators, edge AI deployment, and how these technologies will enable new classes of applications and capabilities
Building functional AI applications
Learn how to build AI applications that work for diverse user populations. We'll cover accessibility considerations, testing with diverse user groups, addressing language barriers, and ensuring your AI application provides equitable benefits regardless of user demographics or abilities
Building functional AI applications
Explore architectural patterns that integrate AI components with conventional software systems. We'll discuss when to use rules-based approaches versus learned models, implementing human-in-the-loop workflows, and designing systems where AI augments rather than replaces existing functionality
Building functional AI applications
Compare popular frameworks and tools for building production AI applications. We'll evaluate options like TensorFlow Serving, Pytorch Lightning, Hugging Face Transformers, and MLflow, helping you select the right technology stack based on your specific requirements and team expertise
Building functional AI applications
Tackle the practical aspects of identifying and addressing bias in production AI systems. We'll examine bias detection methodologies, implementing fairness metrics, techniques for bias mitigation, and establishing governance frameworks to ensure ongoing fairness as your application evolves
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