juliensalinas

13 ms·

31.
by juliensalinas 4y ago
Great to see that someone proposes a way to try OPT-175B, at last. Great job! Can you say more about the hardware you're using behind this service?
32.
Deep Learning Translation: NLLB 200 vs. M2M100 vs. Opus MT
1 points by juliensalinas 4y ago|0 comments
33.
OpenAI and GPT-3 vs. NLP Cloud(nlpcloud.com)
2 points by juliensalinas 4y ago|0 comments
34.
by juliensalinas 4y ago
Totally, and that's because GPT models don't really support multilingual content. It works, but very poorly. It's the case for GPT-J, GPT-NeoX 20B, and even GPT-3. I recently integrated GPT-NeoX 20B on NLP Cloud: https:&#x2F
35.
Fine-tuning GPT-J: key takeaways
1 points by juliensalinas 5y ago|0 comments
36.
Few-shot learning NLP with GPT-J and GPT-Neo
2 points by juliensalinas 5y ago|0 comments
37.
by juliensalinas 5y ago
Lol, you're welcome ;)
38.
by juliensalinas 5y ago
Yep totally. You can forget about training Tranformer-based NLP models from scratch at home, sadly... however you can choose a pre-trained model and fine-tune it with your annotated data. Serving the models for inference is different, you c
39.
by juliensalinas 5y ago
Impressive work. I finally managed to add it to NLPCloud.io with Transformers but it takes 40GB of memory to startup, and then a 16GB GPU is not enough unfortunately, which makes it quite costly to run it. But text generation is really impr
40.
GPT-J for text generation: hardware requirements
10 points by juliensalinas 5y ago|5 comments
41.
Modern advertising strategy using context targeting with Python and NLPCloud.io(netlabe.com)
1 points by juliensalinas 5y ago|0 comments
42.
NLP Cloud now serves transformer-based models
1 points by juliensalinas 6y ago|0 comments
43.
We combine htmx with Django at nlpcloud.io(juliensalinas.com)
1 points by juliensalinas 6y ago|0 comments
44.
Configure the Traefik Reverse Proxy with Docker Compose and Docker Swarm(juliensalinas.com)
2 points by juliensalinas 6y ago|0 comments
45.
Container orchestration with Docker Swarm behind the hood at NLP Cloud(juliensalinas.com)
1 points by juliensalinas 6y ago|0 comments
46.
Deploy machine learning NLP models with Docker Swarm as done at nlpcloud.io(juliensalinas.com)
1 points by juliensalinas 6y ago|0 comments
47.
by juliensalinas 6y ago
Here's the ML stack I have been using for my last project: - Doing NLP with spaCy ( https://spacy.io/ ) as I consider it to be the most production ready framework for NLP - Annotating datasets with Prodigy ( https:/
48.
by juliensalinas 6y ago
That's really cool to see how accuracy of pre-trained models is improving by simply switching to v3.0 I've been using the v3 nightly version for 2 months and it works like a charm. I'm now training models with v3 and using th
49.
A cloud version of Python spaCy to easily deploy NLP models in production(nlpcloud.io)
1 points by juliensalinas 6y ago|0 comments
50.
A hosted version of Python spaCy to easily deploy NLP models in production(spacycloud.io)
1 points by juliensalinas 6y ago|0 comments
51.
Developing and deploying a whole website in golang(juliensalinas.com)
1 points by juliensalinas 8y ago|0 comments
52.
Torrengo: a concurrent torrent scraper CLI in Go (Golang)(juliensalinas.com)
1 points by juliensalinas 8y ago|0 comments
53.
Dockerizing a whole physical Linux server(juliensalinas.com)
1 points by juliensalinas 9y ago|0 comments