Maryam-Nasseri/CrewAI-Local-Agents-1
Local LLM set-up (⭐ 18)
Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
Large Language Models (LLMs) can be backdoored to exhibit malicious behavior under specific deployment conditions while appearing safe during training a phenomenon known as "sleeper agents." Recent work by Hubinger et al. demonstrated that these back...
BREAKING: lCE agents have now detained a 2-year-old girl in south Minneapolis
BREAKING: lCE agents have now detained a 2-year-old girl in south Minneapolis and put her on a commercial flight out of Minnesota DESPITE a judge ordering the toddler’s release. Lawyers say th...
Hugging Face launches Agents 2.0
Points: 7 | Comments: 1 | Author: aubanel
RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) has shown great promise for knowledge-intensive tasks and recently advanced with agentic RAG, where language agents engage in multi-round interactions with external knowledge sources for adaptive information retri...
Agent Skills | Cursor Docs
A skill is a portable, version-controlled package that teaches agents how to perform domain-specific tasks. Skills can include scripts, templates, and references that agents may act on using their tools.
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Aut…
The meteoric rise and proliferation of autonomous Large Language Model (LLM) agents promise significant capabilities across various domains. However, their deployment is increasingly constrained by substantial computational demands, specifically for...
Deploying your own AI agents is actually so expensive
Legit spent 10 hours figuring out how to deploy my agents on EC2 instances with a publicly exposed endpoint, but ts cost me $13/mo per agent Tried using a serverless approach with AWS Lambda and now ...
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EBWi11/AgentSmith-HIDS
By Kprobe technology Open Source Host-based Intrusion Detection System(HIDS), from E_Bwill. (⭐ 603)
Evaluation Function Approximation for Scrabble
The current state-of-the-art Scrabble agents are not learning-based but depend on truncated Monte Carlo simulations and the quality of such agents is contingent upon the time available for running the simulations. This thesis takes steps towards buil...
Emergent bipartiteness in a society of knights and knaves
We propose a simple model of a social network based on so-called knights-and-knaves puzzles. The model describes the formation of networks between two classes of agents where links are formed by agents introducing their neighbours to others of their...
Mechanistic Interpretability of Reinforcement Learning Agents
This paper explores the mechanistic interpretability of reinforcement learning (RL) agents through an analysis of a neural network trained on procedural maze environments. By dissecting the network's inner workings, we identified fundamental features...
Ad Hoc Teamwork in the Presence of Adversaries
Advances in ad hoc teamwork have the potential to create agents that collaborate robustly in real-world applications. Agents deployed in the real world, however, are vulnerable to adversaries with the intent to subvert them. There has been little res...
In 2013, James DiMaggio, a family friend of 16 years, murdered a mother and her 8-year-old…
7 days later, FBI agents tracked them to a remote campsite in Idaho. DiMaggio fired at agents. He was shot dead. Hannah was found alive. \[source\](https://redzed.in/the-harrowing-story-of-hannah-and...
Agent Skills | Cursor Docs
A skill is a portable, version-controlled package that teaches agents how to perform domain-specific tasks. Skills can include scripts, templates, and references that agents may act on using their tools.
Waukegan Mayor Sam Cunningham intervened after U.S. Border Patrol agents forcefully arrest…
In Waukegan, a 23-year-old woman was forcibly removed from her vehicle and shoved into the back of a black Ford Expedition by U.S. Border Patrol agents on Monday afternoon. The arrest, captured on vid...
An Evaluation-Centric Paradigm for Scientific Visualization Agents
Recent advances in multi-modal large language models (MLLMs) have enabled increasingly sophisticated autonomous visualization agents capable of translating user intentions into data visualizations. However, measuring progress and comparing different...
Delegated Authorization for Agents Constrained to Semantic Task-to-Scope Matching
Authorizing Large Language Model driven agents to dynamically invoke tools and access protected resources introduces significant risks, since current methods for delegating authorization grant overly broad permissions and give access to tools allowin...
Satya Nadella, CEO of Microsoft, just made a bold prediction: "The application layer is co…
First, let's decode what Nadella actually means: Traditional apps = databases + business logic But now? The logic is moving to AI agents. Instead of opening 4 different apps to complete a task, you...