don't think so, at least the reason why I chose this example is that it feels superhuman, or at least only within the capabilities of a very small group of humans
AGENTS
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Generative agents with memory presented at UIST 2023
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A large language model enables generative agents that can remember interactions and build relationships. @joon_s_pk and colleagues will present their work at the User Interface Software and Technology Symposium (UIST) 2023. @ACMUIST
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LangChain CEO Launches Functions Tools Agents Course
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Announcing LangChain CEO @hwchase17’s new short course, Functions, Tools, and Agents with LangChain! Covers latest LLM function calling, how to use LLMs to process formatted data (such as JSON) to integrate with other software, and building agents. https://t.co/W0PwiYheDL pic.twitter.com/pC61FRf2aZ
— Andrew Ng (@AndrewYNg) 25 octobre 2023Announcing LangChain CEO @hwchase17
’s new short course, Functions, Tools, and Agents with LangChain! Covers latest LLM function calling, how to use LLMs to process formatted data (such as JSON) to integrate with other software, and building agents. https://
deeplearning.ai/short-courses/
functions-tools-agents-langchain
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AI Agents Negotiating Bank Terms Better Than Humans
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“Really? What’s a thing that person would do?” Negotiate pricing, account opening, and allowed activities. “But banks don’t negotiate pricing/account opening/allowed activities?” Skill issue, as the kids say.
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Multi-Agent Simulation Framework for Strategy Testing
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Let's recap. Agent: You describe your agents, their objectives and goals Environment: Define the environment using just text Simulation: Start the simulation and observe agents' strategies, gain valuable insights in a simulated environment
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AI Simulation Training and Strategy Development Applications
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This could be great for simulated user testing, problem solving scenarios, employee training, strategy development etc. There is no real limit to what can be done here, this is all very exciting.
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Simulating Agent Strategies in Controlled Environments
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Simulation Now it's time to start the simulation, we select the environment, we add the agents we want to participate and start running the simulation. The simulation observes agents' strategies, gaining insights without real-world testing.
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Creating AI Agents with Objectives and Goals
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Agents In the demo above we created a Chef and an Apprentice. You describe your agents, their objectives and goals using just text.
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Getting Started with Jina AI Agents Free Platform
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Getting Started 1. Go to http://
promptperfect.jina.ai
2. Select "Agents" in left sidebar
3. Create and Agent
4. Create an environment
5. Start a simulation Below is step by step instructions. and it’s FREE