The Rise of Multimodal Interactive AI Agents: Exploring Google’s Astra and OpenAI’s ChatGPT-4o
The development of OpenAI's ChatGPT-4o and Google's Astra marks a new phase in interactive AI agents: the rise of multimodal ...
Tag: Agents
Top AI Tools for Real Estate Agents
With AI’s support, the real estate business is experiencing a revolutionary shift. Through the widespread adoption of AI, real estate ...
Sam Altman says helpful agents are poised to become AI’s killer function
OpenAI's current offerings are impressive, with applications like DALL-E, Sora, and ChatGPT showcasing their ability to generate text and visuals. ...
Top 5 Reasons Agents Prefer Tech Over Pay
Welcome to our exploration of the future of contact centers, guided by the groundbreaking insights from the Kore.ai Agent Experience ...
This Paper from Google DeepMind Explores Sparse Training: A Game-Changer in Machine Learning Efficiency for Reinforcement Learning Agents
The efficacy of deep reinforcement learning (RL) agents critically depends on their ability to utilize network parameters efficiently. Recent insights ...
This AI Paper Proposes an Interactive Agent Foundation Model that Uses a Novel Multi-Task Agent Training Paradigm for Training AI Agents Across a Wide Range of Domains, Datasets, and Tasks
AI development is shifting from static, task-centric models to dynamic, adaptable agent-based systems suitable for various applications. AI systems aim ...
Using LangChain ReAct Agents for Answering Multi-hop Questions in RAG Systems | by Dr. Varshita Sher | Feb, 2024
#LLM FOR BEGINNERS Useful when answering complex queries on internal documents in a step-by-step manner with ReAct and Open AI ...
CMU Researchers Introduce VisualWebArena: An AI Benchmark Designed to Evaluate the Performance of Multimodal Web Agents on Realistic and Visually Stimulating Challenges
The field of Artificial Intelligence (AI) has always had a long-standing goal of automating everyday computer operations using autonomous agents. ...
Meet CrewAI: An Artificial IntelligenceFramework for Orchestrating Role-Playing, Autonomous AI Agents
In artificial intelligence, the challenge arises when multiple AI agents need to work together seamlessly to tackle complex tasks. This ...
This Paper from China Introduces ‘Experiential Co-Learning’: A Novel Machine Learning Framework that Encourages Collaboration between Autonomous Agents
Machine Learning and Artificial intelligence have caused a transformative shift across various domains, with a particular focus on the development ...
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