172: Transformers and Large Language Models

172: Transformers and Large Language ModelsIntro topic: Is WFH actually WFC?News/Links:Falsehoods Junior Developers Believe about Becoming Seniorhttps://vadimkravcenko.com/shorts/falsehoods-junior-developers-believe-about-becoming-senior/Pure PursuitTutorial with python code: https://wiki.purduesigbots.com/software/control-algorithms/basic-pure-pursuit Video example: https://www.youtube.com/watch?v=qYR7mmcwT2w PID without a PHDhttps://www.wescottdesign.com/articles/pid/pidWithoutAPhd.pdfGoogle releases Gemmahttps://blog.google/technology/developers/gemma-open-models/Book of the ShowPatrick: The Eye of the World by Robert Jordan (Wheel of Time)https://amzn.to/3uEhg6vJason: How to Make a Video Game All By Yourselfhttps://amzn.to/3UZtP7bPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Stadia Controller Wifi to Bluetooth Unlockhttps://stadia.google.com/controller/index_en_US.htmlJason: FUSE and SSHFShttps://www.digitalocean.com/community/tutorials/how-to-use-sshfs-to-mount-remote-file-systems-over-sshTopic: Transformers and Large Language ModelsHow neural networks store informationLatent variablesTransformersEncoders & DecodersAttention LayersHistoryRNNVanishing Gradient ProblemLSTMShort term (gradient explodes), Long term (gradient vanishes)Differentiable algebraKey-Query-ValueSelf AttentionSelf-Supervised Learning & Forward ModelsHuman FeedbackReinforcement Learning from Human FeedbackDirect Policy Optimization (Pairwise Ranking)

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