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Vector
Databases
for Developers (With a Simple Python
Example
)
dev.to
·
1d
·
Discuss:
DEV
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semantic search
*META‑Discover: An Automated Knowledge‑Graph‑Driven Pipeline for Emergent Topological
Invariants
in High‑Dimensional Random
Simplicial
Complexes*
freederia.com
·
15h
🔍
semantic search
SemPipes
--
Optimizable
Semantic Data Operators for Tabular Machine Learning Pipelines
arxiv.org
·
1d
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semantic search
Open source
USearch
library
jumpstarts
ScyllaDB vector search
thenewstack.io
·
1d
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Actualización
de embeddings en
producción
con LangChain + pgvector
platform.openai.com
·
1d
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Crafting
the Eyes for Thinking Machines: The “White Box”
VLM
pub.towardsai.net
·
7h
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**Abstract:** Accurate and efficient
genomic
variant
prioritization
is a critical bottleneck in precision medicine and drug discovery. Traditional methods re...
freederia.com
·
21h
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So
whats
the next word, then? Almost-no-math
intro
to transformer models
matthias-kainer.de
·
1d
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Hacker News
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Build a
Compiler
in Five Projects
kmicinski.com
·
6m
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semantic search
Solving NYT
Pips
with
DLX
github.com
·
5h
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Hamming
Distance for Hybrid Search in
SQLite
notnotp.com
·
2d
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Improving atlas-scale single-cell
annotation
models with hierarchical
cross-entropy
loss
nature.com
·
23h
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ML-LIB
: Machine Learning Library Proposed For The Linux Kernel
phoronix.com
·
14h
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Clifford
Kolmogorov-Arnold
Networks
arxiv.org
·
1d
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semantic search
Understanding LLM Inference
Engines
: Inside
Nano-vLLM
(Part 2)
neutree.ai
·
19h
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News for January 2026
ptreview.sublinear.info
·
1d
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Writing an LLM from scratch, part
32d
--
Interventions
: adding attention bias
gilesthomas.com
·
10h
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Is Your Machine Learning
Pipeline
as Efficient as it Could Be?
kdnuggets.com
·
21h
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Logistic
Regression, Average Marginal Effects, and the Linear Probability Model - Part II:
Coefficients
and AMEs of nested models
elff.eu
·
19h
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Continual
learning and the post
monolith
AI era
baseten.co
·
11h
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