Meta AI’s @em_dinan explains what makes CICERO different from other language models. Its ability to cooperate with humans through natural language, Its grounding in specific intentions and plans for the game board.
AGENTS
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CICERO by Meta AI Ranked Top 10% in Online League Games
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…and ranked in the top 10% of participants who played more than one game in an online league. Learn more about CICERO’s win rate: https://
bit.ly/3HigP5J Do you think you could outplay #CICERObyMetaAI? -
CICERO by Meta AI Wins at Diplomacy Against Human Players
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It’s not just that #CICERObyMetaAI can play Diplomacy with humans, it’s also that it often WINS: In online games, CICERO achieved more than double the average score of human players…
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New Requests Chain: LLM Interaction with Web URLs
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@BruceHammer helped add a requests chain This hits a given URL, and then passes the parsed response as context to the LLM. Very useful interacting with the web! See the example of doing a google search here: https://
langchain.readthedocs.io/en/latest/exam
ples/chains/llm_requests.html
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LangChain 0.0.31 Release: New Agents, Bash, and Chains
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LangChain version 0.0.31 @johnvmcdonnell fixed how Agents handle a missing tool (so no longer errors) Bash utility and a LLMBashChain (
@coyotespike
) a generic transformation chain (
@AkashSamant4
) a requests chain (
@BruceHammer
) on these additions: -
Agents Now Self-Correct When Selecting Non-Existent Tools
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Previously, if an LLM chose to use a tool that did not exist the Agent would throw an error @johnvmcdonnell changed it so now we tell the agent that tool does not exist and let it self correct… just one step towards making them smarter
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DeepMind UCL Fine-tune 70B LM for Human-aligned Statements
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DeepMind & UCL Fine-tune a 70B Parameter LM to Generate Statements Agreeable to Humans with Diverse Opinions
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Fast and Slow Thinking for Autonomous Robot Navigation
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Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments Ganapini et al.: https://
arxiv.org/abs/2201.07050 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI Intern Replacing Percentage of VC Fund Employees
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Imagine you're running a VC fund. You asked an intern to review the company called CryptoQuant and got this answer in 3 seconds. This intern can replace how much % of employees?
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Meta AI’s CICERO: Training, Dialogue Integration, and Trust Building
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Meta AI’s @adamlerer speaks to the challenges faced in creating #CICERObyMetaAI — from training on millions of Diplomacy moves, to integrating human dialogue & understanding w/ the purpose of enabling CICERO to build trust w/ other players.