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Working with AI Agents  ](https://fullstackdeeplearning.com/working-with-ai-agents/)\nWorking with AI Agents \n    * [ Multiplayer AI Manifesto  ](https://fullstackdeeplearning.com/working-with-ai-agents/multiplayer-ai-manifesto/)\n  * [ LLM Bootcamp  ](https://fullstackdeeplearning.com/llm-bootcamp/)\nLLM Bootcamp \n    * [ Spring 2023  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/)\nSpring 2023 \n      * [ Launch an LLM App in One Hour  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/launch-an-llm-app-in-one-hour/)\n      * [ LLM Foundations  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/llm-foundations/)\n      * [ Learn to Spell: Prompt Engineering  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/prompt-engineering/)\n      * [ Augmented Language Models  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/augmented-language-models/)\n      * [ Project Walkthrough: askFSDL  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Use ML  ](https://fullstackdeeplearning.com/course/2022/lecture-1-course-vision-and-when-to-use-ml/)\n      * [ Lab Overview  ](https://fullstackdeeplearning.com/course/2022/lab-0-overview/)\n      * [ Lecture 2: Development Infrastructure & Tooling  ](https://fullstackdeeplearning.com/course/2022/lecture-2-development-infrastructure-and-tooling/)\n      * [ Lab 4: Experiment Management  ](https://fullstackdeeplearning.com/course/2022/lab-4-experiment-management/)\n      * [ Lecture 3: Troubleshooting & Testing  ](https://fullstackdeeplearning.com/course/2022/lecture-3-troubleshooting-and-testing/)\n      * [ Lab 5: Troubleshooting & Testing  ](https://fullstackdeeplearning.com/course/2022/lab-5-troubleshooting-and-testing/)\n      * [ Lecture 4: Data Management  ](https://fullstackdeeplearning.com/course/2022/lecture-4-data-management/)\n      * [ Lab 6: Data Annotation  ](https://fullstackdeeplearning.com/course/2022/lab-6-data-annotation/)\n      * [ Lecture 5: Deployment  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](https://fullstackdeeplearning.com/spring2021/)\nFSDL 2021 \n        * [ Synchronous Online Course  ](https://fullstackdeeplearning.com/spring2021/synchronous/)\n        * [ Course Projects Showcase  ](https://fullstackdeeplearning.com/spring2021/projects/)\n        * [ Lecture 1: DL Fundamentals  ](https://fullstackdeeplearning.com/spring2021/lecture-1/)\n        * [ Lab 1: Setup and Introduction  ](https://fullstackdeeplearning.com/spring2021/lab-1/)\n        * [ Notebook: Coding a neural net  ](https://fullstackdeeplearning.com/spring2021/notebook-1/)\n        * [ Lecture 2A: CNNs  ](https://fullstackdeeplearning.com/spring2021/lecture-2a/)\n        * [ Lecture 2B: Computer Vision  ](https://fullstackdeeplearning.com/spring2021/lecture-2b/)\n        * [ Lab 2: CNNs and Synthetic Data  ](https://fullstackdeeplearning.com/spring2021/lab-2/)\n        * [ Lecture 3: RNNs  ](https://fullstackdeeplearning.com/spring2021/lecture-3/)\n        * [ Lab 3: RNNs  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](https://fullstackdeeplearning.com/)\n  * [ Working with AI Agents  ](https://fullstackdeeplearning.com/working-with-ai-agents/)\nWorking with AI Agents \n    * [ Multiplayer AI Manifesto  ](https://fullstackdeeplearning.com/working-with-ai-agents/multiplayer-ai-manifesto/)\n  * [ LLM Bootcamp  ](https://fullstackdeeplearning.com/llm-bootcamp/)\nLLM Bootcamp \n    * [ Spring 2023  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/)\nSpring 2023 \n      * [ Launch an LLM App in One Hour  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/launch-an-llm-app-in-one-hour/)\n      * [ LLM Foundations  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/llm-foundations/)\n      * [ Learn to Spell: Prompt Engineering  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/prompt-engineering/)\n      * [ Augmented Language Models  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/augmented-language-models/)\n      * [ Project Walkthrough: askFSDL  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/askfsdl-walkthrough/)\n      * [ UX for Language User Interfaces  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/ux-for-luis/)\n      * [ LLMOps  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/llmops/)\n      * [ What's Next?  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/whats-next/)\n      * [ Reza Shabani: How to train your own LLM  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/shabani-train-your-own/)\n      * [ Harrison Chase: Agents  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/chase-agents/)\n      * [ Fireside Chat with Peter Welinder  ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/welinder-fireside-chat/)\n  * [ Deep Learning Course  ](https://fullstackdeeplearning.com/course/)\nDeep Learning Course \n    * [ FSDL 2022  ](https://fullstackdeeplearning.com/course/2022/)\nFSDL 2022 \n      * [ Lecture 1: Course Vision and When to Use ML  ](https://fullstackdeeplearning.com/course/2022/lecture-1-course-vision-and-when-to-use-ml/)\n      * [ Lab Overview  ](https://fullstackdeeplearning.com/course/2022/lab-0-overview/)\n      * [ Lecture 2: Development Infrastructure & Tooling  ](https://fullstackdeeplearning.com/course/2022/lecture-2-development-infrastructure-and-tooling/)\n      * [ Lab 4: Experiment Management  ](https://fullstackdeeplearning.com/course/2022/lab-4-experiment-management/)\n      * [ Lecture 3: Troubleshooting & Testing  ](https://fullstackdeeplearning.com/course/2022/lecture-3-troubleshooting-and-testing/)\n      * [ Lab 5: Troubleshooting & Testing  ](https://fullstackdeeplearning.com/course/2022/lab-5-troubleshooting-and-testing/)\n      * [ Lecture 4: Data Management  ](https://fullstackdeeplearning.com/course/2022/lecture-4-data-management/)\n      * [ Lab 6: Data Annotation  ](https://fullstackdeeplearning.com/course/2022/lab-6-data-annotation/)\n      * [ Lecture 5: Deployment  ](https://fullstackdeeplearning.com/course/2022/lecture-5-deployment/)\n      * [ Lab 7: Web Deployment  ](https://fullstackdeeplearning.com/course/2022/lab-7-web-deployment/)\n      * [ Lecture 6: Continual Learning  ](https://fullstackdeeplearning.com/course/2022/lecture-6-continual-learning/)\n      * [ Lab 8: Model Monitoring  ](https://fullstackdeeplearning.com/course/2022/lab-8-model-monitoring/)\n      * [ Lecture 7: Foundation Models  ](https://fullstackdeeplearning.com/course/2022/lecture-7-foundation-models/)\n      * [ Lecture 8: ML Teams and Project Management  ](https://fullstackdeeplearning.com/course/2022/lecture-8-teams-and-pm/)\n      * [ Lecture 9: Ethics  ](https://fullstackdeeplearning.com/course/2022/lecture-9-ethics/)\n      * [ Project Showcase  ](https://fullstackdeeplearning.com/course/2022/project-showcase/)\n      * [ Course Announcement  ](https://fullstackdeeplearning.com/course/2022/announcement/)\n    * Older  Older \n      * [ FSDL 2021  ](https://fullstackdeeplearning.com/spring2021/)\nFSDL 2021 \n        * [ Synchronous Online Course  ](https://fullstackdeeplearning.com/spring2021/synchronous/)\n        * [ Course Projects Showcase  ](https://fullstackdeeplearning.com/spring2021/projects/)\n        * [ Lecture 1: DL Fundamentals  ](https://fullstackdeeplearning.com/spring2021/lecture-1/)\n        * [ Lab 1: Setup and Introduction  ](https://fullstackdeeplearning.com/spring2021/lab-1/)\n        * [ Notebook: Coding a neural net  ](https://fullstackdeeplearning.com/spring2021/notebook-1/)\n        * [ Lecture 2A: CNNs  ](https://fullstackdeeplearning.com/spring2021/lecture-2a/)\n        * [ Lecture 2B: Computer Vision  ](https://fullstackdeeplearning.com/spring2021/lecture-2b/)\n        * [ Lab 2: CNNs and Synthetic Data  ](https://fullstackdeeplearning.com/spring2021/lab-2/)\n        * [ Lecture 3: RNNs  ](https://fullstackdeeplearning.com/spring2021/lecture-3/)\n        * [ Lab 3: RNNs  ](https://fullstackdeeplearning.com/spring2021/lab-3/)\n        * [ Lecture 4: Transformers  ](https://fullstackdeeplearning.com/spring2021/lecture-4/)\n        * [ Lab 4: Transformers  ](https://fullstackdeeplearning.com/spring2021/lab-4/)\n        * [ Lecture 5: ML Projects  ](https://fullstackdeeplearning.com/spring2021/lecture-5/)\n        * [ Lecture 6: MLOps Infrastructure & Tooling  ](https://fullstackdeeplearning.com/spring2021/lecture-6/)\n        * [ Lab 5: Experiment Management  ](https://fullstackdeeplearning.com/spring2021/lab-5/)\n        * [ Lecture 7: Troubleshooting Deep Neural Networks  ](https://fullstackdeeplearning.com/spring2021/lecture-7/)\n        * [ Lecture 8: Data Management  ](https://fullstackdeeplearning.com/spring2021/lecture-8/)\n        * [ Lab 6: Data Labeling  ](https://fullstackdeeplearning.com/spring2021/lab-6/)\n        * [ Lecture 9: AI Ethics  ](https://fullstackdeeplearning.com/spring2021/lecture-9/)\n        * [ Lab 7: Paragraph Recognition  ](https://fullstackdeeplearning.com/spring2021/lab-7/)\n        * [ Lecture 10: Testing & Explainability  ](https://fullstackdeeplearning.com/spring2021/lecture-10/)\n        * [ Lab 8: Testing & CI  ](https://fullstackdeeplearning.com/spring2021/lab-8/)\n        * [ Lecture 11: Deployment & Monitoring  ](https://fullstackdeeplearning.com/spring2021/lecture-11/)\n        * [ Lab 9: Web Deployment  ](https://fullstackdeeplearning.com/spring2021/lab-9/)\n        * [ Lecture 12: Research Directions  ](https://fullstackdeeplearning.com/spring2021/lecture-12/)\n        * [ Lecture 13: ML Teams and Startups  ](https://fullstackdeeplearning.com/spring2021/lecture-13/)\n        * [ Panel Discussion: Do I need a PhD to work in ML?  ](https://fullstackdeeplearning.com/spring2021/panel/)\n      * [ FSDL 2021 (Berkeley)  ](https://bit.ly/berkeleyfsdl)\n      * [ FSDL 2020 (UW)  ](https://bit.ly/uwfsdl)\n      * [ FSDL 2019 (Online)  ](https://fall2019.fullstackdeeplearning.com)\n      * [ FSDL 2019 (Bootcamp)  ](https://fullstackdeeplearning.com/march2019.html)\n      * [ FSDL 2018 (Bootcamp)  ](https://fullstackdeeplearning.com/august2018.html)\n  * [ Blog  ](https://fullstackdeeplearning.com/blog/)\n  * [ Cloud GPUs  ](https://fullstackdeeplearning.com/cloud-gpus/)\n\n\n![](https://fullstackdeeplearning.com/images/robots-eating-pancakes/0016.jpg) A robot eating a stack of pancakes (in various styles) by DALL·E.  \nSome prompts [generated by GPT-3](https://twitter.com/charles_irl/status/1530411605699096576). \n#  404 - Page not found.\nThe Full Stack, 2026 \nMade with [ Material for MkDocs ](https://squidfunk.github.io/mkdocs-material/)\n[ ](https://twitter.com/full_stack_dl \"twitter.com\") [ ](https://www.youtube.com/@The_Full_Stack \"www.youtube.com\") [ ](https://www.linkedin.com/company/full-stack-deep-learning/posts/ \"www.linkedin.com\")\n",
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