Product Quantization, Embedding Compression, Memory Efficiency, Approximate Search
Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)
semiengineering.com·15h
Hidden Reasoning in LLMs: A Taxonomy
lesswrong.com·14h
vLLM Performance Tuning: The Ultimate Guide to xPU Inference Configuration
cloud.google.com·21h
"The theory of parsing, translation, and compiling" by Aho and Ullman (1972) can be downloaded from ACM
dl.acm.org·5h
Visual Truth Matters, YouTube Music, Google NotebookLM, More: Tuesday ResearchBuzz, August 26, 2025
researchbuzz.me·1h
Finding the low-hanging fruit in tech companies
seangoedecke.com·13h
Bringing Cloudflare’s AI to FedRAMP High
blog.cloudflare.com·23h
Revised by having @Grok ask another LLM with a higher embedding dimension how to refine this paper.
threadreaderapp.com·21h
I Taught Claude Every’s Standards. It Taught Me Mine.
kill-the-newsletter.com·22h
How Tensors Are Changing Search in Life Sciences
thenewstack.io·21h
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