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Examining
Turbopuffer
ANN v3
terencezl.github.io
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1d
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technical deep dives
ggml
: backend-agnostic tensor parallelism by
JohannesGaessler
· Pull Request #19378
github.com
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1d
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r/LocalLLaMA
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Fast
Autoscheduling
for Sparse ML
Frameworks
ajroot.pl
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Writing an LLM from scratch, part
32d
--
Interventions
: adding attention bias
gilesthomas.com
·
10h
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personal programming project explainers
What I
wish
I
knew
before building a vibe coding platform
imagine.dev
·
15h
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Sequential Attention: Making AI models
leaner
and faster without
sacrificing
accuracy
research.google
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,
r/LocalLLaMA
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Automatic
Programming
Returns
cyber-omelette.com
·
7h
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Anthropic
's Performance Take-Home: A 65x Optimization (For
Dummies
)
ikot.blog
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3d
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I Built a 6
BIPS
JIT
in Five Months
unlikelyemphasis.substack.com
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Substack
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technical deep dives
Style tips for less
experienced
developers
coding with AI
honnibal.dev
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Training language models on
TPUs
shouldn't be
scary
dogac.dev
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ahead-of-time wasm
gc
in
wastrel
wingolog.org
·
18h
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Lobsters
,
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Using
Nsight
Compute with large
codebases
- Part 2 : Profiling large code bases
blog.ncompass.tech
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Continual
learning and the post
monolith
AI era
baseten.co
·
11h
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Kadajett/blECSd
: A modern typescript rewrite of blessed, with dozens of modern features, a strict functional architecture, and bitECS as a backend for a fully composable API. Not just for games either! ;)
github.com
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9h
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EBM
vs. LLMs: Our
Kona
EBM
a 96% vs. 2% Sudoku Benchmark
logicalintelligence.com
·
1d
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AI
Understanding LLM Inference
Engines
: Inside
Nano-vLLM
(Part 2)
neutree.ai
·
19h
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technical deep dives
Processes and Threads -
Discourse
on
Concurrency
, Part I
ayanmali.substack.com
·
21h
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Substack
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personal programming project explainers
Turning Coding
Tasks
into Feedback
Loops
feipeng.substack.com
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Building Highly Efficient Inference System for
Recommenders
Using
PyTorch
pytorch.org
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