Overriding the proprietary prompt of OpenAI’s ChatGPT to make it:
1. sass you
2. scream
3. talk in an uwu voice
4. be distracted by a toddler while on the phone with you
AGENTS
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Overriding ChatGPT prompt for sass, scream, uwu voice, toddler distraction
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Montreal.AI: Global Leader in Reinforcement Learning and AI Agents
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The fact is that http://
MONTREAL.AI is a worldwide leader in #ReinforcementLearning and #AIAgents since at least 2015 . . . #MontrealAI -
Advanced Executive Communication Parallels Prompt Engineering
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Sufficiently advanced executive communication is indistinguishable from prompt engineering
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CICERO AI Plays Diplomacy: Which Human Trait Matters Most?
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#CICERObyMetaAI is the first AI built to play Diplomacy at a human level. Patience, honesty, cooperation, negotiation skills and empathy: all human attributes that contribute to its gameplay. Which attribute do you think makes the better Diplomacy player?
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LangChain 0.0.27 Release with ReActTextWorldAgent
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LangChain version 0.0.27: Much appreciated clean up and formatting by `tonyabracadabra` (if you are on Twitter, lmk!!) ReActTextWorldAgent: a new agent from @JavaFXpert – see below for more!
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Consciousness: Self-Awareness and Environmental Awareness in AI Systems
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Consciousness is a combination of self and environmental awareness. I see environmental awareness in Minedojo as tractable but self-awareness is a different story. For that, you need uncertainty quantification is key: unknown unknowns is tricky.
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MineDojo: Open-ended Agents for Minecraft Task Solving
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Thank you @davidchalmers42 for featuring https://
minedojo.org in your talk. We build open-ended agents that can solve any task in Minecraft. This requires the agent to have awareness of the Minecraft world. Foundation models provide the agent with priors (e.g. reward function) -
CASCADE: Learning World Models with Multi-Agent Reward-Free Data
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Learning General World Models in a Handful of Reward-Free Deployments.
CASCADE seeks to learn a world model by collecting data with a population of agents. @YingchenX
, @JParkerHolder
, @AldoPacchiano
, @PhilipJohnBall
, @_Oleh
, Stephen J. Roberts, @_Rockt
, @EGrefen -
SAMPLR: Minimax Regret Method for Unsupervised Environment Design
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Grounding Aleatoric Uncertainty for Unsupervised Environment Design. @MinqiJiang
, @MichaelD1729
, @JParkerHolder
, @_AndreiLupu
, Heinrich Küttler, @EGrefen
, @_Rockt
, @J_Foerst propose SAMPLR, a minimax regret UED method that optimizes the ground-truth utility function. -
Language Dynamics Distillation Improves Policy Learning
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Improving Policy Learning via Language Dynamics Distillation. @hllo_wrld
, @Jayelmnop
, @LukeZettlemoyer
, @EGrefen
, @_rockt propose Language Dynamics Distillation (LDD), which pretrains a model to predict environment dynamics given demonstrations with language descriptions