- I want to challenge my self as a software engineer. What should I do? https://en.wikipedia.org/wiki/Locality-sensitive_hashing 4 comments learnprogramming
- I'm already an experienced software engineer butI reached my local minima. How do I get out of it? https://en.wikipedia.org/wiki/Locality-sensitive_hashing 2 comments askprogramming
- Is there a hash algorithm where if B is a bitwise subset of A, then hash(B) is a bitwise subset of hash(A)? https://en.wikipedia.org/wiki/Locality-sensitive_hashing 34 comments compsci
Linking pages
- LLM Powered Autonomous Agents | Lil'Log https://lilianweng.github.io/posts/2023-06-23-agent/ 177 comments
- What every software engineer should know about search https://scribe.rip/p/what-every-software-engineer-should-know-about-search-27d1df99f80d 132 comments
- The Transformer Family Version 2.0 | Lil'Log https://lilianweng.github.io/posts/2023-01-27-the-transformer-family-v2/ 46 comments
- Reformer: The Efficient Transformer – Google AI Blog https://ai.googleblog.com/2020/01/reformer-efficient-transformer.html 44 comments
- Finding near-duplicates with Jaccard similarity and MinHash - Made of Bugs https://blog.nelhage.com/post/fuzzy-dedup/ 40 comments
- Machine Learning for a Better Developer Experience | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/machine-learning-for-a-better-developer-experience-1e600c69f36c 20 comments
- How to spot first stories on Twitter using Storm | Michael Vogiatzis http://micvog.com/2013/09/08/storm-first-story-detection/ 10 comments
- GitHub - andrewclegg/sketchy: Simple approximate-nearest-neighbours in Python using locality sensitive hashing. https://github.com/andrewclegg/sketchy 9 comments
- nlp package - github.com/james-bowman/nlp - Go Packages https://pkg.go.dev/github.com/james-bowman/nlp 8 comments
- Image-to-Recipe Translation with Deep Convolutional Neural Networks | by Muriz | Towards Data Science https://towardsdatascience.com/this-ai-is-hungry-b2a8655528be 6 comments
- Machine Learning Glossary | Google Developers https://developers.google.com/machine-learning/glossary/ 3 comments
- A Gentle Introduction to Vector Databases | Weaviate - vector database https://weaviate.io/blog/what-is-a-vector-database 2 comments
- GitHub - meilisearch/arroy: Annoy-inspired Approximate Nearest Neighbors in Rust, based on LMDB and optimized for memory usage :boom: https://github.com/meilisearch/arroy 2 comments
- GitHub - alexklibisz/elastik-nearest-neighbors: Go to: https://github.com/alexklibisz/elastiknn https://github.com/alexklibisz/elastik-nearest-neighbors/ 1 comment
- Home - Elastiknn https://elastiknn.com/ 1 comment
- Neural Computing pt 1: Sparse Distributed Memory https://bzogrammer.substack.com/p/neural-computing-pt-1-sparse-distributed 1 comment
- Learning the “systems” language. | Notes in modern computer systems https://systemsnotes.wordpress.com/2017/03/05/learning-the-systems-language/ 0 comments
- Work in progress: hookreducer.com https://offbyone.us/posts/hook-reducer/ 0 comments
- Document Deduplication https://www.pinecone.io/docs/examples/document-deduplication/ 0 comments
- New benchmarks for approximate nearest neighbors · Erik Bernhardsson https://erikbern.com/2018/02/15/new-benchmarks-for-approximate-nearest-neighbors.html 0 comments
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