@trader_sahib@derekquick1 Why did you block me, you do know I'm bullish on UNH right? Read what I said, if you are a bull you should be sharing about this big catalyst April 6th. I have a large position on UNH longs
AI Agents: Research & Applications - A 40 page research overview of LLM-based agents.
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This piece explores the emerging landscape of autonomous agents, specifically Large Language Model (LLM)-based agents, and their impact across diverse domains such as gaming, governance, crypto, robotics, and more. Building on foundational agentic principles, this piece examines both the architecture and application of AI agents.
The objective of this piece is twofold:
1. To provide a structured overview of AI agents and their architectural foundations, focusing on components such as memory, perception, reasoning, and planning.
2. To examine the latest trends in AI agent research, highlighting applications where agents are redefining what is possible.
Topics include:
Trends in Agent Research
- Symbolic Agents
- Reactive Agents
- Reinforcement Learning-Based Agents
- LLM-Based Agents
Agentic Architecture
- Profile
- Memory (incl. structure, formats, and operations)
- Perception (incl text, visual, audio, and emerging)
- Reasoning & Planning
- Action & Extending the Action Space
Multi-Agent Architecture
- Vertical & Horizontal Organization
- Hybrid Organization
- Cooperative Multi-Agent Frameworks
- Adversarial Multi-Agent Frameworks
- Emergent Behaviors in Multi-Agent Systems
Benchmarking and Evaluation
- Simulation Environments
- Social Capability and Communication Evaluation
- Tool Use and Problem-Specific Benchmarks
- End-to-End and Specialized Benchmarks
- Objective vs. Subjective Evaluation
Applications
- Gaming
- Roleplay
- Crypto / Finance
- Forecasting
- AI Alignment
- Governance and Organizations
- Robotics
- Sciences
@Debussy100 I just learned about this recently and usually always include bananas in my smoothies with blueberries. Def taking them out to eat later now