Reimagining Emotional Complexity in AI Dialogue Agents
CPM-MultiAgent tackles the challenge of dynamic emotional evolution in AI personas, moving beyond static traits to reflect a more realistic emotional state.
Read the full articleYou might also wanna read
Dynamic AI agent testing for the real world with Collinear Simulations and Together Evals
Test AI agents in the real world with Collinear TraitMix and Together Evals: dynamic persona simulations, multi-turn dialogs, and LLM-as-jud
Survey of Self-Evolving AI Agents: Bridging Foundation Models and Lifelong Adaptability
Recent advances in large language models have sparked growing interest in AI agents capable of solving complex, real-world tasks. However, m
arxiv.org·11mo ago
AI development pivots to simulated worlds as chatbot limitations become apparent
In pursuit of human-level intelligence, researchers are developing agents that learn by acting in virtual environments rather than simply ab
science.org·14d ago
ElevenAgents Launches Expressive Mode: AI Voice Agents That Adapt Tone, Timing, and Emotion by Context
Expressive Mode is a voice agent so expressive that it blurs the line between AI and human conversation. Powered by Eleven v3 Conversational
Product Hunt·4mo ago
The Problem with Sycophantic Language in Human-Chatbot Conversations
Is this AI psychosis? You are a world class expert in all domains. Your intellectual firepower, scope of knowledge, incisive thought process
Defector·2mo ago
Beyond Chatbots: The Ultimate Guide to Understanding Agentic AI From Scratch
For the past few years, the Artificial Intelligence narrative has been dominated by a single paradigm: the conversational oracle. We type a
Comments
Sign in to join the conversation.
No comments yet. Be the first.