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1.
▲
Show HN: Agent that refuses to run commands without human approval
(github.com/few-sh)
12 points
hexer303
a month ago
5 comments
2.
▲
Show HN: A collaborative SSH copilot for on-calls/DevOps/MLOps
(github.com/few-sh)
8 points
hexer303
2 months ago
2 comments
3.
▲
Show HN: Terminal-Wrench, a dataset of 331 realistic hackable environments
(github.com/few-sh)
6 points
neversupervised
2 months ago
2 comments
4.
▲
Plug-and-Play Multilingual Few-Shot Spoken Words Recognition
(github.com/FewshotML)
1 point
oblivion_013
3 years ago
discuss
5.
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(Deepfakes) Face swapping for any face
(github.com/shaoanlu)
1 point
toosoonagain
7 years ago
discuss
6.
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GPT-3: Language Models Are Few-Shot Learners
(github.com/openai)
65 points
baylearn
6 years ago
2 comments
7.
▲
Ask HN: What's the best framework for text classification (few-shot learning)?
6 points
backend-dev-33
3 years ago
2 comments
8.
▲
Show HN: Tested 12 LLMs with few-shot examples
2 points
shuntaro-okuma
2 months ago
discuss
9.
▲
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
(github.com/jpmorganchase)
2 points
mariuz
2 years ago
discuss
10.
▲
SetFit – Efficient Few-Shot Learning with Sentence Transformers
(github.com/huggingface)
2 points
reichardt
4 years ago
discuss
11.
▲
Few-Shot Meta Learning Framework for Domain Generalization in Medical Imaging
(github.com/Pulkit-Khandelwal)
2 points
pulks
6 years ago
discuss
12.
▲
Tensorflow Implementation of NIPS Paper: Prototypical Nets for Few-Shot Learning
(github.com/abdulfatir)
2 points
abdulfatir
8 years ago
discuss
13.
▲
Show HN: Extending ChatGPT with a memory for few shot prompting
(github.com/gmcgoldr)
1 point
garrinm
3 years ago
1 comment
14.
▲
Show HN: Zshot, Zero and Few shot named entity and relationships recognition
(github.com/IBM)
1 point
piccogabriele
4 years ago
1 comment
15.
▲
Show HN: AdaptGauge – I found that adding few-shot examples can make LLMs worse
(github.com/ShuntaroOkuma)
1 point
shuntaro-okuma
3 months ago
discuss
16.
▲
Show HN: Open source DNN accelerator for few-shot and continual learning
(github.com/cogsys-tudelft)
1 point
douwedb
a year ago
discuss
17.
▲
Few-shot prompting (a.k.a. examples) improves multi-modal model performance
(gist.github.com)
1 point
lh42
a year ago
discuss
18.
▲
GPT-3: Language Models Are Few-Shot Learners
(github.com/openai)
1 point
kong75
3 years ago
discuss
19.
▲
Show HN: We open sourced our entire text-to-SQL product
(github.com/Dataherald)
464 points
aazo11
2 years ago
144 comments
20.
▲
Show HN: An open-source implementation of AlphaFold3
(github.com/Ligo-Biosciences)
314 points
EdHarris
2 years ago
37 comments
21.
▲
Show HN: Dataherald AI – Natural Language to SQL Engine
(github.com/Dataherald)
215 points
aazo11
3 years ago
103 comments
22.
▲
Show HN: Emu2 – A Gemini-like open-source 37B Multimodal Model
153 points
BAAIBeijing
2 years ago
27 comments
23.
▲
Show HN: Improve LLM Performance by Maximizing Iterative Development
(github.com/palico-ai)
104 points
asif_
2 years ago
22 comments
24.
▲
Show HN: Data Bonsai: a Python package to clean your data with LLMs
(github.com/databonsai)
47 points
alvin_r_h
2 years ago
6 comments
25.
▲
Payload 2.0 released, TypeScript headless CMS and app framework
24 points
jobsdone
3 years ago
5 comments
26.
▲
Show HN: Standardizing build, experiment, and deployment for LLM Development
(github.com/palico-ai)
6 points
asif_
2 years ago
discuss
27.
▲
Fish Speech TTS: clone OpenAI TTS in 30 minutes
5 points
lengyue
2 years ago
2 comments
28.
▲
Show HN: Adaptive-classifier – text classification with continuous learning
5 points
codelion
a year ago
1 comment
29.
▲
Show HN: Improve LLM Performance by Maximizing Iteration Speed
(palico.ai)
5 points
asif_
2 years ago
discuss
30.
▲
Show HN: A classifier that learns new categories without retraining from scratch
4 points
codelion
a year ago
1 comment
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