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Dive into deep learning fundamentals with The Full Stack's under 1-hour material. Explore neural networks, learning problems, gradient descent, back-propagation, and more.
Learn to code a neural network from scratch in under an hour with The Full Stack. Get hands-on with Google Colab, Numpy, PyTorch, and Keras to create regression models.
Learn about AI at Tesla from Senior Director, Andrej Karpathy, in this less than 1-hour material from The Full Stack.
Learn about Deep Learning Frameworks from Yangqing Jia, VP AI/Big Data at Alibaba and co-creator of Caffe2 and Caffe, in less than an hour with The Full Stack.
Learn about the lifecycle of a deep learning model and data science strategies from Jai Ranganathan, SVP Product at KeepTruckin and former VP at Uber. Less than 1-hour workload.
Explore the principles of LLMOps with The Full Stack's brief video guide. Learn to evaluate models, manage prompts, and apply test-driven development to large language model applications.
Explore UX design for Language User Interfaces with The Full Stack's brief, insightful video. Learn user-centered design principles, study LUI patterns, and analyze case studies.
Explore augmented language models with The Full Stack's 1-2 hour video guide. Learn about retrieval augmentation, chaining, and tool use with expert Josh.
Learn to build and deploy AI-powered apps in under an hour with The Full Stack's quick and practical guide.
Explore neural network applications with The Full Stack's brief walkthrough of the "askFSDL bot" project, an LLM-powered Discord bot. Learn about SWE tooling, data cleaning, and more.
Dive into the foundations of large language models with The Full Stack's brief video, covering core ML, Transformer architecture, and notable LLMs.
Master the art of prompting language models with The Full Stack's bootcamp. Learn techniques like decomposition, reasoning, and reflection in under an hour.
Explore the future of AI and language models with The Full Stack's 1-2 hour video, discussing multimodality, scale limits, AGI presence, and safety measures.
Explore LangChain, a new LLM application framework, in this under 1-hour material from The Full Stack. Includes a demo and Q&A with the creator, Harrison Chase.
Explore the ethical dimensions of building ML-powered products with The Full Stack's 1-2 hour lecture, covering past, present, and future tech ethics.
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