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ajcr.github.io | ||
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vitalik.eth.limo
[AI summary] An accessible technical introduction explaining how zk-SNARKs use polynomials, finite fields, and polynomial commitments to create succinct and private zero-knowledge proofs. |
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blog.lambdaclass.com
Introduction The use of efficient zk-SNARKs (zero-knowledge succinct non-interactive arguments of knowledge) has given rise to many new and vital applications. For example, we can delegate expensive computations to untrusted servers and receive proof showing the integrity of the computations. This proof is short and can be verified much faster |
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rosshemsley.co.uk
Successful model development can be surprisingly dependent on good engineering practices. Despite this, many model implementations scattered about Github are difficult to follow and hard to recreate locally. But what should a good model look like? I would propose that the gold standard for a model implemented on Github could be: The dependencies may be installed automatically, using a single command. I can build the model in a sandbox without polluting with my dev. |
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www.hamza.se
A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward. |
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