If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.RAvi Chawla (@_avichawla):6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...

6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...

图片来源： Sequoia Capital Z Highlights Bob McGrew ， OpenAI 前首席研究官，主导推动 GPT ‑ 3 、 GPT ‑ 4 以及内部称为 o1/o3 模型的研发，提出预训练（ pre-training ）、后训练（ post-training ）和推理（ reasoning ）的 " 三位一体 " 模型。现为多家 AI 初创企业的顾问或投资人，持续推动 AGI 的落地。本次访谈视频由 Sequoia Capital 在 2025 年 6 月 17 日发布，和 Bob 共同探讨了 从模型训练重点、 Agent 和机器人的未来发展、 AI 时代的教育心得与管理经验等主题，洞察人工智能的发展轨迹，并 指出初创企业依然可以挖掘并构建可持续竞争优势的领域。 预训练、后训练和推理，未来如何发展？ Stephanie Zhan ： 欢迎来到 Training Data 。今天我们非常高兴邀请到 Bob McGrew——OpenAI 前首席研究官，带我们深入探讨 frontier AI 的幕后发 展。 Bob 分享了预训练（ pre-training ）、后训练（ post-tr ...

I strongly believe that AGI will be achieved by a network of agents collaborating cohesively in a team.The ACP Butler offers a single consumer touchpoint to co-ordinate agents.The litmus test will be how cohesively these Virtuals’ agents collaborate.https://t.co/MhhAaANZyx ...

Core Principles of Agent Building - The industry emphasizes rethinking agent development from first principles, applying established software engineering practices to build reliable agents [11] - The industry highlights the importance of owning the control flow in agent design, allowing for flexibility in managing execution and business states [24][25] - The industry suggests that agents should be stateless, with state management handled externally to provide greater flexibility and control [47][49] Key Factors for Reliable Agents - The industry recognizes the ability of LLMs to convert natural language into JSON as a fundamental capability for building effective agents [13] - The industry suggests that direct tool use by agents can be harmful, advocating for a more structured approach using JSON and deterministic code [14][16] - The industry emphasizes the need to own and optimize prompts and context windows to ensure the quality and reliability of agent outputs [30][33] Practical Applications and Considerations - The industry promotes the use of small, focused "micro agents" within deterministic workflows to improve manageability and reliability [40] - The industry encourages integrating agents with various communication channels (email, Slack, Discord, SMS) to meet users where they are [39] - The industry advises focusing on the "hard AI parts" of agent development, such as prompt engineering and flow optimization, rather than relying on frameworks to abstract away complexity [52]

[Music] Um, welcome everybody. This is a little bit last minute, so bear with me. If you don't know me, uh, I started Century a long time ago.David Kramer. I'm sort of an engineer, sort of an executive, sort of a founder. Uh, I would like to think I have rational opinions.So that's what this is going to complicated. It's just big scary words. So if you do, great.If you don't, maybe you walk away, you're like, "Yeah, I thought that's what it was. We've done it." Mostly, uh, I was asked a couple days ago whil ...

AI has become a part of our lives. For many of us, it started with that magical moment of discovering Chad GPT, a machine that could finally understand us, speak to us, and even generate reports on command. At that point in 2022, terms like LLM or large language models finally entered all of our vocabulary.But friends, what if I told you that the era of LLMs, at least as we know it, is nearing its end. Not because it's failed, but far from it. It's because we are on the verge of something even more powerful ...

在演讲中，张孜铭首先分析了全球AI产业的发展现状。他指出，生成式AI正以年均83%的增速成为推动经济增长的新引擎，2024年 全球生成式AI市场规模已达400亿美元。然而， 中国AI产业面临双重挑战： 一方面，融资规模占比持续收缩，2024年仅占全球总额 的5%；另一方面，受美国芯片出口管制影响，高端算力获取受限，制约了尖端模型的研发。尽管如此，中国在应用层创新上表现亮 眼， 大语言模型已占据全球20%的市场份额，展现出强大的差异化竞争力。 DeepSeek：中国AI的创新突围 近日 ， 由杭州市委组织部指导、杭州市欧美同学会主办的" 鸿鹄海归科创投资沙龙" 在杭州成功举办。 未可知人工智能研究院副院 长张孜铭 受邀出席活动，并发表了题为 《AI投资下半场：技术、赛道与商业化》 的主题演讲。作为《AIGC：智能创作时代》的作 者和人工智能领域的资深专家，张孜铭从技术演进、产业格局和投资机会 三个维度，为现场金融投资界人士及海归科创精英带来了 一场深度分享 。 全球AI产业：机遇与挑战并存 张孜铭特别提到深度求索（DeepSeek）的崛起案例。这家背靠幻方量化的AI公司，通过全栈开源策略和极致的成本控制，仅用6 ...

大家好，我是佩妮。 1）搜索是未来 AI 最大，也最重要的场景和入口。 不知道有多少朋友和我一样，习惯性上网第一步，都会在浏览器中自然地敲出 "baidu" 的网址。（比如测一测网连上了没 hhh） 百度花了25年的时间，在中文用户心智中建立了 "百度"等于"搜索" ，日均搜索次数达到数十亿次。 搜索几乎是 AI 时代确定性的最重要场景，目前在一级市场最热门的 AI项目，也有很多是在 搜索，浏览器 和 通用 Agent 领域； 在AI时代来临之前，传统搜索引擎的商业模式高度依赖在线营销服务，即 广告收入 。 营收占比一半以上，妥妥的 现金牛 业务。我看了下 Google 的财报，搜索贡献收入占比和百度也差不多。 搜索其实是这一波新的AI 技术变革的发源地，因其技术储备接近。 准确理解用户的意图，从海量数据和语料中查询，检索，判断，推荐，持续优化，这本来就是搜索做的事情， 所以百度也是国内最早喊出"All in AI"的公司。 AI 领域的变化是我长期关注的主题，昨天是百度 2025 AI Day ，发布了不少有意思的新产品。 尤其是主营业务搜索，号称是 10 年以来最大改版， 自己革自己的命 的那种。 众所周 ...

Core Insights - The core theme of the article is the transition from large models to Agentic AI, marking a significant shift in the AI industry by 2025, driven by the evolution of technology, market demand for execution over mere Q&A, and a focus on quantifiable ROI [2][3]. Industry Trends - The industry is experiencing a paradigm shift from "tool-based applications" to "Agentic AI applications," with Gartner predicting that by 2028, 15% of daily work decisions will be autonomously made by Agentic AI, up from nearly zero in 2024 [2]. - The emergence of Agentic AI is seen as a response to the need for reliable orchestration of complex workflows and the definition of human-machine responsibility boundaries [2]. Company Strategies - Amazon Web Services (AWS) has established an Agentic AI team reporting directly to the CEO, indicating a strategic focus on this emerging technology as a potential multi-billion dollar business [2]. - AWS emphasizes the importance of security, resilience, and a unified AI-ready infrastructure in the design of enterprise applications, contrasting with consumer-focused applications that prioritize user experience [7][8]. Data Management - Effective data aggregation and governance are critical for maximizing the value of Agentic AI, as the quality and accessibility of data determine the capabilities and decision-making effectiveness of AI agents [9][10]. - Companies must break down data silos to ensure that Agentic AI can operate at an enterprise level, enhancing its ability to create value across the organization [9]. Future Outlook - The rapid growth of Agentic AI is expected to lead to significant innovations in product services and business models, with companies that leverage this technology likely to enhance customer experiences and achieve substantial returns [5][6]. - The article highlights the need for companies to adopt clear strategies and efficient execution to realize the long-term benefits of Agentic AI, while managing expectations regarding short-term outcomes [9][10].