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Nufar Gaspar
英特尔设计部门的 AI 无处不在和通用 AI 总监,专注于推动 AI 技术在企业中的应用和发展。
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Nufar Gaspar: 新的认知架构将使构建更好、更安全的AI智能体成为可能。现有智能体存在通用性和约束性不足的问题,导致性能不可靠。新的架构通过提供防护措施和框架来控制智能体,从而提高其可靠性和效率。 开发智能体需要专门的工具和框架,以简化开发流程,提高可靠性,并实现智能体之间的协调。重点领域包括应用开发框架、可观察性和测试工具。企业需要根据自身需求选择合适的工具和人才。 多智能体系统将变得越来越普遍,因为多个智能体协同工作可以提高效率和结果准确性。多智能体系统类似于跨职能项目团队,每个智能体承担特定角色。 智能体需要具备多模态能力,才能更好地感知和理解环境,例如处理视频、音频和图像。Google的Project Astra就是一个很好的例子。多模态能力将为残疾人士和企业带来更多可能性。 学术界和开源社区对智能体研究的投入将加速其发展。大量人才的涌入将推动智能体技术快速发展,并带来更多令人兴奋的应用。 新的接口、标准和协议将出现,以支持智能体与计算机以及彼此之间的交互。这将涉及到新的API和协议,以及更严格的沟通方式。 需要针对智能体开发新的基准测试方法,以更全面地评估其性能。现有的LLM评估方法不适用于智能体,新的基准测试需要考虑多步骤推理和开放式思维等因素。 将出现专门为智能体设计的LLM,以更好地支持其自主活动。这些LLM可能在通用基准测试中表现不佳,但它们更适合智能体的特定需求,例如多步骤推理、长期记忆和上下文保留。 风险投资将大量涌入智能体公司,这将导致大量新公司的出现,以及现有公司对智能体产品的投资和转型。 夏季媒体将出现关于智能体是否被过度炒作的辩论。媒体的炒作可能会夸大智能体的能力,但智能体技术的价值仍然存在。 智能体将与AGI讨论交织在一起,并加速AGI的发展。OpenAI的O3模型在ARC基准测试中超越了人类水平,这将引发关于AGI是否已经到来的讨论。 2026年将比2025年对智能体来说更重要。2025年将是智能体技术发展的关键一年,而2026年及以后的几年将是智能体技术真正发挥其巨大潜力的时期。 NLW

Deep Dive

Key Insights

What are cognitive architectures in the context of AI agents?

Cognitive architectures are blueprints for building intelligent and autonomous systems, essentially designing the 'minds' of AI agents. They provide guardrails or frameworks to control agents, improving their memory and capabilities, and preventing them from becoming too general or unreliable.

Why are multi-agent systems expected to grow in 2025?

Multi-agent systems involve several AI agents working together, each with a specific role, similar to a cross-functional project team. They are expected to grow because they can handle more complex tasks and deliver better results by combining specialized agents, making them more practical and scalable for enterprises.

What is the significance of multimodal abilities in AI agents?

Multimodal abilities allow AI agents to perceive and interact with their environment using multiple senses like video, audio, and images. This enhances their ability to perform tasks more like humans, opening up new use cases, especially for accessibility and enterprise assistance.

How will agent-oriented LLMs differ from traditional LLMs?

Agent-oriented LLMs will be purpose-built for autonomous activities, prioritizing multi-step reasoning, long-term memory, and context retention. Unlike traditional LLMs designed for broad tasks, these models will be tailored to enhance agent performance, potentially using a mix of models for different tasks within an agent.

What is the predicted impact of agents on AGI discussions in 2025?

Agents will accelerate AGI discussions as they demonstrate increasingly autonomous behavior, especially when using advanced models like OpenAI's O3, which has surpassed human benchmarks in certain tasks. However, 2025 is not expected to be the year of AGI, but agents will blur the lines and reignite debates about AI's human-like capabilities.

Why is 2026 expected to be even bigger for AI agents than 2025?

2026 is expected to be a pivotal year as enterprises will likely deploy agents at scale, integrating them into their workforce. The learnings and developments from 2025 will set the stage for broader adoption, leading to significant advancements in how work and life are transformed by AI agents.

Shownotes Transcript

PART 2: Agents are the most important trend in AI heading into the new year. NLW is joined by Nufar Gaspar to count down 25 predictions for AI agents in 2025.

Nufar Gaspar is a seasoned AI expert and leader with vast experience in incubating and growing AI products, verticals and communities. She is the Director of AI Everywhere and Gen AI for Intel Design, and consults and trains organizations and teams on the usage of AI and building AI products and companies.

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