Thank you Brother These demos are very basic, but everything works We'll continue testing! #AIAgents #AINodes #MontrealAI
AGENTS
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Decentralized AI Agents Ownership Through NFTs on Blockchain
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AI AGENTS – WORKING DEMO ✨👾✨
— MONTREAL.AI (@Montreal_AI) 23 novembre 2022
"Pre-alpha test v1 for the AI Agents"
Web3 AI Agents X AI Nodes = Decentralized AI
Non-Fungible AI : https://t.co/u9KtZLgziw
Ownership of artificial intelligence via NFTs is obvious.#Blockchain #AINodes #AIAgents #AIToken #MontrealAI pic.twitter.com/GVttT4qjCGAI AGENTS – WORKING DEMO "Pre-alpha test v1 for the AI Agents" Web3 AI Agents X AI Nodes = Decentralized AI Non-Fungible AI : https://
opensea.io/assets/ethereu
m/0x4f652d9ac6095756574b2254246f121b1042f278/144
… Ownership of artificial intelligence via NFTs is obvious. #Blockchain #AINodes #AIAgents #AIToken #MontrealAI -
Games as AI Proving Ground: Strategic Reasoning and NLP Advancements
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Ever wonder how we got to where we are today with AI? Games have always been a proving ground for AI due to their complexity — our work on CICERO included. Only through advancements in strategic reasoning and NLP was CICERO made possible. Learn more about #CICERObyMetaAI
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Meta AI Introduces CICERO: First AI Achieving Human-Level Diplomacy Performance
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Meta AI presents CICERO — the first AI to achieve human-level performance in Diplomacy, a strategy game which requires building trust, negotiating and cooperating with multiple players. Learn more about #CICERObyMetaAI: http://
bit.ly/3GBwLzx -
AI Agents NFTs Enable Decentralized Artificial Intelligence Networks
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AI AGENTS – WORKING DEMO "Pre-alpha test v0 for the AI Agents " Ownership of artificial intelligence via NFTs is obvious. Web3 AI Agents X AI Nodes = Decentralized AI Non-Fungible AI : https://
opensea.io/assets/ethereu
m/0x4f652d9ac6095756574b2254246f121b1042f278/111
… #AGI #AINodes #AIAgents #AIToken #MontrealAI -
Interview on Abraham AI and Generative AI Space Insights
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Nice interview with me about @abraham_ai_ and some thoughts on the emerging generative AI space. This interview was actually done in June, which is why Stable Diffusion is conspicuously missing
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LangChain 0.0.16: Chain Input/Output Comparison and Model Evaluation
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version 0.0.16: compare inputs/outputs on a whole chain Useful for evaluation when you're doing more than just a simple call to an LLM Github: https://
github.com/hwchase17/lang
chain
… How do different models do in @OfirPress
's self-ask w/ search example? https://
colab.research.google.com/drive/1atz4xfZ
LpIHJKD2kf38WnxHv61XU-dwb
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Yann LeCun on Developing Autonomous Artificial Intelligence Systems
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Yann LeCun: How to Develop Autonomous Artificial Intelligence https://
techopedia.com/yann-lecun-how
-to-develop-autonomous-artificial-intelligence/2/34812
… @techopedia #AI #MachineLearning #DataScience #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DeepLearning #DigitalTransformation #Python #TensorFlow #Robots -
Mispredicting scaling potential: Early distraction with reinforcement learning
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But I still mispredicted in how much fertile ground there was in scaling up the paradigm. Like many others in AI I got distracted by Reinforcement Learning too soon, a kind of putting the cart before the horse, …