Heykuki News
Top
New
Best
Ask
Show
Jobs
Toggle theme
Login
Top
New
Best
Ask
Show
Jobs
1.
▲
T-digest:Datastructure for accurate online accumulation of rank-based statistics
(github.com/tdunning)
2 points
superyesh
6 years ago
discuss
2.
▲
TDigest: A DS for accurate online accumulation of rank-based stats (quantiles)
(github.com/tdunning)
1 point
ronnier
9 years ago
discuss
3.
▲
Show HN: Generate Fine-tunning dataset using deep research in terminal
(github.com/Datalore-ai)
6 points
FineTuner42
10 months ago
discuss
4.
▲
Show HN: Kekkai – Interactive security triage in the terminal
6 points
kirumachi
4 months ago
3 comments
5.
▲
Show HN: This is how i got more performance in WebSockets than Bun using Python
(github.com/cirospaciari)
1 point
cirospaciari
4 years ago
discuss
6.
▲
Barony game source code released under GPLv3
(github.com/TurningWheel)
2 points
SXX
10 years ago
1 comment
7.
▲
Tuning Primer - MySQL Server Tuning for e.g. Nextcloud
(github.com/BMDan)
1 point
CHEF-KOCH
2 years ago
1 comment
8.
▲
Show HN: Copilot for Data Analysis, beyond an open-source alternative to Tableau
(github.com/Kanaries)
61 points
loa_observer
3 years ago
12 comments
9.
▲
Deep learning tuning playbook
(github.com/google-research)
175 points
tehnub
3 years ago
8 comments
10.
▲
LLM Prompt Tuning Playbook
(github.com/varungodbole)
3 points
madmax108
2 years ago
discuss
11.
▲
Google Research – Deep Learning Tuning Playbook
(github.com/google-research)
3 points
rainboiboi
3 years ago
discuss
12.
▲
Show HN: S0 Tuning – +23.6pp on HumanEval by tuning state, not weights
(github.com/JackYoung27)
2 points
jacknotold
2 months ago
2 comments
13.
▲
Showcase-Tuning: A visual debugging workflow for AI-assisted rendering code
(github.com/nerobowman)
2 points
nerobowman
3 months ago
1 comment
14.
▲
LLM Prompt Tuning Playbook
(github.com/varungodbole)
2 points
aberoham
2 years ago
1 comment
15.
▲
Playbook for maximizing the performance of deep learning models
(github.com/google-research)
2 points
Anon84
a year ago
discuss
16.
▲
Deep Learning Tuning Playbook
(github.com/google-research)
2 points
hexhowells
3 years ago
discuss
17.
▲
Performance Tuning Tutorial Given at Oak Ridge National Laboratory
(github.com/NAThompson)
2 points
segfaultbuserr
3 years ago
discuss
18.
▲
Deep Learning Tuning Playbook
(github.com/google-research)
1 point
sonabinu
9 months ago
discuss
19.
▲
How to tune your DL models?
(github.com/google-research)
1 point
Exorust
a year ago
discuss
20.
▲
List of Library for HyperParameter Tuning
(github.com/balavenkatesh3322)
1 point
balavenkatesh
6 years ago
discuss
21.
▲
GopherCon 2018 Performance Tuning Workshop
(github.com/davecheney)
61 points
pjf
8 years ago
21 comments
22.
▲
Show HN: Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO
(github.com/raghavc)
30 points
rags1
2 years ago
9 comments
23.
▲
Show HN: Agent Tuning, using recursion to achieve predictable agent output
(github.com/adam-s)
5 points
dataviz1000
2 months ago
discuss
24.
▲
Fine-tune BLOOM with Stanford Alpaca
(github.com/hyintell)
3 points
imoe
3 years ago
1 comment
25.
▲
Show HN: I reproduced Code Llama fill-in-the-middle code completion training
(github.com/BohdanPetryshyn)
2 points
BohdanPetryshyn
2 years ago
discuss
26.
▲
Show HN: AWS Lambda Power Tuning with AWS Step Functions
(github.com/alexcasalboni)
34 points
alexcasalboni
9 years ago
1 comment
27.
▲
AWS Lambda Power Tuning
(github.com/alexcasalboni)
26 points
daenz
4 years ago
4 comments
28.
▲
Image Classification Tutorial in detail (by grad student in Computer VisionMIT)
(github.com/Spandan-Madan)
3 points
spandan-madan
9 years ago
discuss
29.
▲
Lamini Memory Tuning: near-perfect fact recall via 1M-way MoE [pdf]
(github.com/lamini-ai)
2 points
Bluestein
2 years ago
discuss
30.
▲
Serverless fine tuning using axolotl
(github.com/runpod-workers)
1 point
mwiki02
a year ago
discuss
More