agent development

Custom-Built Agent. Platforms ... clear, agent-achievable design targets helps to steer subsequent design decisions before build can begin.

www.bcg.com·27.0 MB

In this work, we introduce ModelScope-Agent, a general and customizable agent framework for real-world applications, based on open- source LLMs ...

aclanthology.org·16.2 MB

For agentic AI development, implications are significant across customer service, sales, and IT support where voice agents can handle complex conversations ...

www.cdut.edu.cn·12.9 MB

An agent's identity must be portable and verifiable to a third party that has no visibility into its host environment.

openid.net·8.5 MB

Based on our research findings and current adoption trajectories, we project that AI agents could generate up to $450 billion in economic value ...

www.capgemini.com·7.3 MB

In TapeAgents we leverage tapes to facilitate all stages of the LLM Agent development lifecycle. The agent reasons by processing the tape and ...

llmagents-learning.org·7.2 MB

Large language models are becoming increasingly capable of handling complex, multi-step tasks. Advances in reasoning, multimodality, and tool use have ...

cdn.openai.com·7.0 MB

Theodore Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas Griffiths. ... I do basically architecture presentation, like graphic design work, ...

cs191.stanford.edu·6.5 MB

LLM-based Multi-agent frameworks have shown a great potential in solving real-world software development tasks, where the agents.

aclanthology.org·5.9 MB

It offers customizable and conversable agents that leverage the strongest capabilities of the most advanced. LLMs, like GPT-4, while addressing their.

www.ciscolive.com·5.6 MB

Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of ...

www.cs.ox.ac.uk·4.6 MB

These models use vast amounts of data to produce human-like text and engage in complex language-based tasks.

reports.weforum.org·3.2 MB

This guide is not meant to be an authoritative document - it is intended to be a quick primer to help understand AI agents and build a simple AI agent.

innovationlab.fetch.ai·3.0 MB

AI agents mark a turning point in how organizations create value and compete. With AI-native firms already achieving 25 to 35 times more ...

web-assets.bcg.com·2.9 MB

We propose a distributed agent architecture. (DAA) that can support a variety of paradigms based on both traditional real-time computing and artificial.

ntrs.nasa.gov·2.4 MB

The agentic design enables agents to manage distinct, domain- driven tasks across cloud ecosystems, delivering significant benefits in accuracy, and flexibility ...

arxiv.org·2.2 MB

In this chapter, we give a very detailed description of a model design process, from the very beginning to the optimization results and assumptions discussion.

www.anylogic.com·1.6 MB

This process walks you through creating an agent, associating topics, adding actions, etc. ○ Use custom Topics & Actions to interact with your data. ○ Routinely ...

www.salesforce.com·1.6 MB

The agent program decides what action to take in each situation. – Situation = the current percept sequence. – It implements a mapping from percept sequences to ...

courses.grainger.illinois.edu·1.3 MB

In our research, we use human-human interaction as a model for agent behaviors that build rapport between humans and agents. Our paralinguistic model of rap-.

isg.cs.utep.edu·1.2 MB