the joy of statically linking Intel MKL
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Writing Code: Converting Confusion Into Clarity
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writing working code is a process of converting any internal confusion into clarity
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Tensors Multilinear Operations Universal Approximation Machine Learning
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Tensors are back! I am so glad to see this! We have been advocating that tensor or multilinear operations are all you need. The benefits: universal approximation and expressivity. Higher order BLAS operations for parallelism without the need for any transposition or data
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React useContext: Developer Experience Insights
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lol when I’m coding with react and useContext — it often felt this way (in a good way)
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How Can LLMs Handle Thesaurus Translation Tasks?
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You can ask LLMs to translate from Lisp to Python, or to invert a string. How would this work with a thesaurus?
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Training tiny character RNN for Office script generation
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update: training a tiny char RNN to write lines from The Office (no BOS token yet so these samples always start with M; using ancestral sampling for now)
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LangGraph Adds Built-in Persistence for AI Agents
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LangGraph: Persistence LangGraph comes with built in persistence. This means you can easily add "memory" to any LangGraph agents This is done by passing in a checkpointer to a LangGraph object. Then, the state of all runs are saved via that checkpointer We added an example