“ChatGPT seems to have sacrificed nearly all of its in-context learning ability to trade for the ability to model dialog context.”
AGENTS
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AI Chatbots Will Generate Excessive Content From Trivial Triggers
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Coming next: you sneeze, and your chatbot instantly generates an 800-page history of the shoe.
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Meta AI’s CICERO Advances Beyond Scripted AI Agents
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Meta AI’s @alex_h_miller speaks to CICERO's ability to perform far beyond today's 'scripted' AI agents. #CICERObyMetaAI uses purposeful, intentional language to understand and interact w/ Diplomacy players to achieve shared goals.
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AGI Nodes Agents Tokens Generate Unprecedented Value
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$AGI AGI Nodes X AGI Agents X AGI Token “The combination of the #AGINode, the #AGIAgent and the #AGIToken could generate unprecedented value.” — Vincent Boucher, President of http://
MONTREAL.AI http://
MONTREAL.AI: Winning the #AGI Race #AGIFirst #MontrealAI -
Montreal Launches Largest AI Business Initiative Targeting Unicorn Status
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MONTREAL ♡ AI IT'S TIME TO BUILD THE LARGEST AI BUSINESS IN MONTREAL: http://
MONTREAL.AI http://
MONTREAL.AI aims for unicorn status: http://
montreal.ai/aikingdom.jpg NEW Discord! http://
discord.gg/montrealai AIAgents.Eth | AINodes #AIAgents #MontrealAI #WeAreBuilding -
Virtual Agents and Conversational Interfaces Report Coverage
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what does « virtual agent or conversational interface » cover in the report?
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New Chat Bots Could Change the World. Can You Trust Them?
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The New Chat Bots Could Change the World. Can You Trust Them?
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CICERO Learns Optimal Moves Using Reinforcement Learning
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Meta AI’s @anton_bakhtin discusses how he and his team used Reinforcement Learning to teach CICERO the best moves for the millions of possible actions that could be made on any given board state. pic.twitter.com/W8SJKDz6Vf
— AI at Meta (@AIatMeta) 10 décembre 2022Meta AI’s @anton_bakhtin discusses how he and his team used Reinforcement Learning to teach CICERO the best moves for the millions of possible actions that could be made on any given board state.
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Meta AI Reveals CICERO Components: Game Planning, Dialogue, Filtering
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Meta AI’s @ml_perception reveals what was used to build CICERO: Theoretical game planning component Dialogue model Component filtering out any dialogue mistakes before messages are sent to players