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ParlAI reviews and mentions
How do you keep your python files organized
1 project | reddit.com/r/learnpython | 6 May 2022
Beneath that? Here's a good example if you'd like to see how professionals do it: https://github.com/facebookresearch/ParlAI
[TASK] $100 - host a ML model on AWS
1 project | reddit.com/r/slavelabour | 14 Nov 2021
There's a ParlAI chatbot model I wanted to host on AWS with websocket APIs. They have the framework set up here https://parl.ai/docs/tutorial_chat_service.html, and an exact github issue as well https://github.com/facebookresearch/ParlAI/issues/3174. But as you may understand it's a huge pain to get everything to work, especially on a complicated repository, and I've burnt too much time on this.
I know who Noah Turk is + contact info
1 project | reddit.com/r/mturk | 11 Nov 2021
Further proof this is Facebook: https://github.com/facebookresearch/ParlAI/issues/500
[OFF-TOPIC] I have access to PLATO-XL
1 project | reddit.com/r/GPT3 | 18 Oct 2021
Some notes from my perspective of PLATO-XL: * The model comparisons sometimes seem deliberately disingenuous. * I love that we’re measuring a ‘hallucination’ score now(!) and this model has a lower/better score when compared against other (older, of course) chatbots. * Why not compare with the latest BlenderBot 2.0, open sourced by FAIR, and available with metrics? https://github.com/facebookresearch/ParlAI/tree/main/projects/blenderbot2 * Why not also compare with GPT-3 Curie 6.7B? It would seem to make sense as this is a very popular model, though not explicitly chatbot... * They have failed to mention the largest SOTA chatbot model, Google’s LaMDA (Language Model for Dialogue Applications). Although not publicly released (and maybe even the paper was too late), the recent paper from Google shows that LaMDA has over 100 billion parameters, or ~10 times the size of PLATO-XL…
Adoption of Mypy for Python type checking: 45% already use it, 40% don't plan to
4 projects | news.ycombinator.com | 21 Mar 2021
I run a fairly large open source project (https://github.com/facebookresearch/ParlAI/) and we use mypy. Our experience has been that it can be quite difficult to placate, so we usually treat it only as a warning. However, having our code annotated with types in many places has significantly improved developer productivity, just from having less ambiguity with what you're dealing with.
Goal to create simple chatbot
1 project | reddit.com/r/learnpython | 2 Mar 2021
facebookresearch/ParlAI is an open source project licensed under MIT License which is an OSI approved license.