pr open: https://
github.com/hwchase17/lang
chain/pull/609
… @kweyamba_ai is this good for your use case?
AGENTS
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LangChain PR 609: New Features for Agent Development
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Join Our Community to Build Cutting Edge AI Applications
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Interested in collaborating with our thriving community and building some cutting edge applications and fun demos? Join our discord: https://
hf.co/join/discord -
Meta-Learning Enables AI Agents to Rapidly Adapt to New Environments
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MetaLearning.eth META-LEARNING enables #AIAgents to “learn to learn”, allowing them to rapidly adapt to new environments. Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/28653756243418125983896305525248630918490602894709024564651983387428933128798
… http://
MONTREAL.AI: Winning the #AGI Race MetaLearning.Crypto | MetaLearning.Eth #MetaLearning #MontrealAI -
GPT-Based Pentesting: AI for Security Vulnerability Discovery
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GPT like pentesting sounds nonironic amazing. Continuous feed of 0days combined w/ telling it not to bruteforce Additionally it can learn the software it (ab)uses based on its sourcecode It could also use social engineering. If anyone does this for real i’d love to talk
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Reinforcement Learning for Web3 AI Agents Development
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ReinforcementLearning.Eth Reinforcement Learning (RL) is an area of AI concerned with how agents ought to take actions. http://
MONTREAL.AI is using RL to build Web3 AI Agents Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/52694602869859807677039526017970231478273063181431708212743385155471956296026
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Caterpillar Swarm Formation Demonstrates Power of Teamwork
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A brilliant illustration of #teamwork This group of caterpillars is moving in a formation known as a "rolling swarm". It moves at least twice faster than any single caterpillar #synergies #inspiration
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Montreal Establishes Largest Decentralized AI Business Unicorn
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MONTREAL ♡ AI It Is Time To Establish The Largest AI Business In Montreal: http://
MONTREAL.AI. http://
MONTREAL.AI Aspires To Reach Unicorn Status. Web3 AI Agents X AI Nodes = Decentralized AI http://
discord.gg/montrealai AGI.Eth | MTL.Eth #AGI #AIAgents #MontrealAI -
natbot: Browser automation through natural language commands
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Check out @natfriedman’s natbot that does things like taking actions for you on a browser based on natural language commands: https://t.co/6ZzOgmbETU
— Aravind Srinivas (@AravSrinivas) 12 janvier 2023Check out @natfriedman
’s natbot that does things like taking actions for you on a browser based on natural language commands: -
MineDojo: Training AI Agents in Minecraft Open-Ended Tasks
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To boost AI research, we helped create MineDojo. It uses the almost infinite number of open-ended tasks and actions in Minecraft to train #AI agents. And for the gamers who love that world, @Minecraft with RTX lights it up like never before. https://t.co/sf8g0wmnBK #NVIDIAstory
— NVIDIA (@nvidia) 12 janvier 2023To boost AI research, we helped create MineDojo. It uses the almost infinite number of open-ended tasks and actions in Minecraft to train #AI agents. And for the gamers who love that world, @Minecraft with RTX lights it up like never before. https://
nvda.ws/3xTkalW #NVIDIAstory -
Multi-Agent Architecture: Combining DB and Search Tool Patterns
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super interesting. do you imagine a common query pattern to need both the DB and search tool? or will most queries be one or the other? if separate, you could almost make an agent for each tool, and then use those agents as tools themselves in a meta-agent that wraps them