SAsanxiyn·Aug 5, 2022
You probably meant to link this: https://github.com/facebookresearch/ParlAI/blob/main/project...
In BlenderBot 3: A 175B parameter, publicly available chatbotfacebookresearch
ParlAI
Python2017–2022
facebookresearch / ParlAI · Archived
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
8Distinct people
8Mentions
0Explicit recommenders
10.6KGitHub stars
What to know before exploring
What it is
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year8 dated mentions
Observed mentions: 2017-05-04 17:47:08 UTC to 2022-08-05 21:16:59 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 4 | 3 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 2 | 0 | 2 |
What Hacker News says
8 sourcesLooks like the 175B model will fit on 8x A6000s and is available by request only.
This model seems very undertrained, as it's a fine-tuned version of the OPT-175B model which was only trained on ~180B tokens (and further fine-tuned on less than a billion?).
Further it uses the old GPT-2 tokenizer with a quite small token vocabulary and BPE so it will never be able to figure out how to rhyme, for instance.
I do really like that again they have shared a training logbook.
https://github.com/facebookresearch/ParlAI/blob/main/project...
In BlenderBot 3: A 175B parameter, publicly available chatbotI 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.
In Adoption of Mypy for Python type checking: 45% already use it, 40% don't plan toTry to use this:
https://github.com/facebookresearch/ParlAI
Your company is a research company. I.e. you are trying to solve lang understanding. This is a research problem. Probably on par with AGI.
In Mycroft.ai Update: Real companies ship productThere are a few different datasets that might be of use, depending on what you're playing with:-
- bAbI https://research.fb.com/downloads/babi/ and https://github.com/facebook/bAbI-tasks
- SQuAD https://rajpurkar.github.io/SQuAD-explorer/
- WebQuestions https://github.com/brmson/dataset-factoid-webquestions
Edit: there's also a great list of datasets on the ParlAI project page https://github.com/facebookresearch/ParlAI
In A Guide to Natural Language ProcessingFacebook's New Framework for Chatbot AI
4 points · Open discussionParl.AI is a framework for dialog AI research, implemented in Python
1 points · Open discussionFacebook releases ParlAI: framework for training/evaluating dialog agents
2 points · Open discussion