Aidan @MocaCDev
"You are something the whole universe is doing, the same way a wave is something the whole ocean is doing" stellr-company.com Check out Joined August 2023-
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lol
I am *obsessed* with "dispatches" and forward-oriented expectation building. I do not know why but I *love* the idea behind building a metadata state which efficiently dictates what needs to happen next.
I am *obsessed* with "dispatches" and forward-oriented expectation building. I do not know why but I *love* the idea behind building a metadata state which efficiently dictates what needs to happen next.
force_init_with simply just makes it to where the compiler does not formally initiate the variable until init_training_data method is invoked So.. the variable exists during compile time but if it never gets initiated appropriately, the executable will not have it.
Got some of the foundations for tensors implemented Single & multi dimensional tensors work, also implemented one hot Just gotta add commonplace methodologies such a sum, axis support, and tree of expressions for back prop support
Got: - Directives implemented - Structs implemented - Pointers implemented - Variables implemented - Support of importing libraries - Libraries implemented All within a ~8-10 hour window.
Zero to Hero course is amazing start
Day 12 of learning AI bs from scratch > a look into recurrent neural networks (RNN's) > learned about Long Short-Term Memory > read couple chapters of d2l.ai > drawbacks of RNN's > Simple Neural networks → CNN → RNN will try and train one MLP, CNN and a
Comparison (thus far) of Tea compilation vs C (with -fsyntax-only). For reference, the Tea program has: 3 includes several structs with 22+ fields variable declarations configurations and print statements The C code is as seen in the last image.
Break shit. Learn. Iterate. Move fast.
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We had a slight issue with uploads exceeding 50MB on StellrCloud. We have promptly fixed the issue. Please contact us if issues persist. stellr-company.com/cloud
Oh how elegant Not only did I speedrun the learning curve of Vulkan, but I integrated a relatively efficient top-layer API thereby enabling Tea to feasibly integrate core GPU mechanics into its foundations. Gonna be a powerful language.
Now I just need to: - Compile - Add memory management - Add inherent support for tensors - Strengthen structs - Integrate offloading work to GPU workgroups - Integrate clean communication API for GPU work - Integrate “attach” - Create a standard library - Pretty much anything else I missed regarding AI stuff (lots of math stuff)
Got: - Directives implemented - Structs implemented - Pointers implemented - Variables implemented - Support of importing libraries - Libraries implemented All within a ~8-10 hour window.
Got: - Directives implemented - Structs implemented - Pointers implemented - Variables implemented - Support of importing libraries - Libraries implemented All within a ~8-10 hour window.
Quirky, but "Tea" derived from the fundamental tensor dependence for the language. Tensor, Tea. Idk, just felt appropriate.
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