ParlAI
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ParlAI | nle | |
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18 | 15 | |
10,366 | 932 | |
- | 1.1% | |
5.6 | 3.7 | |
6 months ago | 3 days ago | |
Python | C | |
MIT License | GNU General Public License v3.0 or later |
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ParlAI
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Why does flake8 require me to copyright facebook and license under MIT?
Do you have https://github.com/facebookresearch/ParlAI installed? Looks like they're doing something weird with their flake8 config.
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[D] Inner workings of the chatgpt memory
I would suspect similar to blenderbot2 from meta and parl.ai.
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[D] We're the Meta AI research team behind CICERO, the first AI agent to achieve human-level performance in the game Diplomacy. We’ll be answering your questions on December 8th starting at 10am PT. Ask us anything!
There's quite a few open-source Reinforcement Learning challenges that you can explore with modest amounts of compute in order to build some experience training RL models, for example the Nethack Learning Environment, Atari, Minigrid, etc. For me personally, I had only worked in NLP / dialogue for years but got into RL by implementing Random Network Distillation models for NetHack. It's a fun area that definitely has its own unique challenges vs other domains. -AM
- How to Get Your Backup to Half of Its Size – ZSTD Support in XtraBackup
- re there any places you can download code for a ai chat bot and run on your own system?
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Tarot Readings for Robots and Tangents
I am intrigued by the model because it develops long term memory that it can access for future conversations which you can see in more detail on the model cards.
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Meta AI Introduces BlenderBot 3: A 175B Parameter, Publicly Available Chatbot That Improves Its Skills And Safety Over Time
Continue reading | Check out the paper, project, github link and reference article.
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BlenderBot 3: A 175B parameter, publicly available chatbot
I have tried to use parl.ai in the past. I actually wanted to play with blenderbot 1.0. I kinda hate this library because it isn't exactly quick and easy to learn. I ended up using the Huggingface version.
You probably meant to link this: https://github.com/facebookresearch/ParlAI/blob/main/project...
- BlenderBot 3: A 175B-parameter, publicly available chatbot that improves its skills & safety over time
nle
- What if we set GPT-4 free in Minecraft?
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Voyager: An LLM-powered learning agent in Minecraft
precisely, I really hope someone does Nethack next and leverages the learning environment that's already customized for it.
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Analyzer for Nethack idea - problem with getting data from another program
You should look at The Nethack Learning Environment.
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[D] We're the Meta AI research team behind CICERO, the first AI agent to achieve human-level performance in the game Diplomacy. We’ll be answering your questions on December 8th starting at 10am PT. Ask us anything!
There's quite a few open-source Reinforcement Learning challenges that you can explore with modest amounts of compute in order to build some experience training RL models, for example the Nethack Learning Environment, Atari, Minigrid, etc. For me personally, I had only worked in NLP / dialogue for years but got into RL by implementing Random Network Distillation models for NetHack. It's a fun area that definitely has its own unique challenges vs other domains. -AM
- Facebook AI which plays NetHack
- The NetHack Learning Environment
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Hacker News top posts: Nov 12, 2022
The NetHack Learning Environment\ (2 comments)
What are some alternatives?
algoneer - The Algoneer Python library.
wa-tunnel - Tunneling Internet traffic over Whatsapp
flake8-copyright - Adds copyright checks to flake8
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
mypy - Optional static typing for Python
LeanQt - LeanQt is a stripped-down Qt version easy to build from source and to integrate with an application.
lrzip - Long Range Zip
BotHack - BotHack – A Nethack Bot Framework
webDiplomacy - Play Diplomacy online
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
pyre-check - Performant type-checking for python.
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL