keveman

10 ms·

1.
iOS 4 security flaw nostalgia(spectrum.ieee.org)
1 points by keveman 2y ago|0 comments
2.
by keveman 2y ago
Moonshine author here: The warning is from Keras library, and is benign. If you didn't get any other output, it was probably because the model thought there was no speech (not saying there really was no speech). We uploaded ONNX versio
3.
Lutra.ai: Generative AI for Workflows and Apps(lutra.ai)
5 points by keveman 3y ago|0 comments
4.
Local conversation AI and translation and captioning(eetimes.com)
3 points by keveman 3y ago|0 comments
5.
AI in a Box(crowdsupply.com)
2 points by keveman 3y ago|2 comments
6.
by keveman 3y ago
This enables a true natural language voice interface to any device/appliance that currently has a touch pad or a bunch of buttons. Yes, faster than faster-whisper, but that's really an apples to oranges comparison, because useful-
7.
by keveman 3y ago
This is for speech to text, so generating text, not audio. And on a $120-$170 device, this transcribes at 30x real time. The code does run on lower end Rockchip processors, costing ~$30, although only at 10x real time speed.
8.
Fast inference of OpenAI's Whisper on Rockchip processors(github.com)
2 points by keveman 3y ago|5 comments
9.
by keveman 3y ago
The tiny.en Whisper model transcribes speech at 30x real-time speeds on an Orange Pi 5.
10.
by keveman 3y ago
I met Bram in the Google Mountain View office. We chatted for over two hours. He was full of humility and curiosity and more interested in what I was working on (I was working on DistBelief back then). Hats off to a life full of impact and
11.
MosaicML Joins Databricks(twitter.com)
2 points by keveman 3y ago|0 comments
12.
A prompt engineering guide for DALLE-2(dallery.gallery)
242 points by keveman 4y ago|62 comments
13.
20B parameter GPT-3 model trained on a single Cerebras chip(cerebras.net)
2 points by keveman 4y ago|0 comments
14.
Imagen, a text-to-image diffusion model(gweb-research-imagen.appspot.com)
988 points by keveman 4y ago|634 comments
15.
Neeva – ad-free search engine(neeva.co)
3 points by keveman 6y ago|1 comments
16.
by keveman 7y ago
> How is this programmed? Full disclosure: I am a Cerebras employee. There is extensive support for TensorFlow. A wide range of models expressed in the TensorFlow will be accelerated transparently.
17.
Wafer scale engine for neural network training acceleration(cerebras.net)
2 points by keveman 7y ago|0 comments
18.
Learning Transferable Architectures for Scalable Image Recognition(arxiv.org)
1 points by keveman 9y ago|0 comments
19.
TensorFlow GPU performance(tensorflow.org)
3 points by keveman 9y ago|0 comments
20.
Google Brain team – looking back on 2016(research.googleblog.com)
1 points by keveman 10y ago|0 comments
21.
TensorFlow developer summit(services.google.com)
3 points by keveman 10y ago|0 comments
22.
A Learned Representation of Artistic Style(arxiv.org)
1 points by keveman 10y ago|0 comments
23.
Unsupervised learning: the missing link of AGI(technologyreview.com)
2 points by keveman 11y ago|3 comments
24.
Recurrent Neural Networks for Set-To-Set Learning(arxiv.org)
1 points by keveman 11y ago|0 comments
25.
Google Brain Residency Program(g.co)
151 points by keveman 11y ago|58 comments
26.
How to not get ripped off by High Frequency Traders(chrisstucchio.com)
62 points by keveman 12y ago|148 comments
27.
Making OpenCL look more like CUDA(khronos.org)
1 points by keveman 13y ago|0 comments
28.
Orbital computing(extremetech.com)
2 points by keveman 13y ago|0 comments
29.
HF Trading tabloid: Tibra stole source code, says Getco(amsterdamtrader.com)
1 points by keveman 13y ago|0 comments
30.
Church Numerals using C++1y Generic Lambdas(nonchalantlytyped.net)
1 points by keveman 13y ago|0 comments

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