从零开始构建深度研究代理
👋 I am Aurimas. I write the SwirlAI Newsletter with the goal of presenting complicated Data related concepts in a simple and easy-to-digest way. My mission is to help You UpSkill and keep You updated on the latest news in GenAI, MLOps, Data Engineering, Machine Learning and overall Data space.
👋 我是Aurimas。我撰写SwirlAI通讯，旨在以简单易懂的方式呈现复杂的数据相关概念。我的使命是帮助您提升技能，并让您了解GenAI、MLOps、数据工程、机器学习及整体数据领域的最新动态。
The big topic of last month was Deep Research Agents that every large player in the LLM industry is building and trying to monetise. The big catalyst for this was the emergence of DeepSeek R1 reasoning model and its open source nature.
上个月的大话题是每个大型 LLM 行业参与者都在构建并试图实现货币化的深度研究代理。推动这一发展的主要催化剂是 DeepSeek R1 推理模型的出现及其开源特性。
In this episode of the Newsletter we are going to build such a Deep Research Agentic system from scratch. It will allow us to strengthen our fundamental knowledge of how these upcoming agentic systems actually function under the hood.
在本期通讯中，我们将从头开始构建这样一个深度研究代理系统。这将使我们能够增强对这些即将到来的代理系统在内部如何运作的基本知识。
We are also going to run our system utilising one of the previously mentioned LLMs DeepSeek R1.
我们还将利用之前提到的 LLM DeepSeek R1 运行我们的系统。
This brings us to our sponsors of today - SambaNova. The platform will allow us to run and test our system for free. Registering to the platform will give you $5 of credits with no credit card details needed, this will be enough to run the project.
这将我们带到今天的赞助商 - SambaNova。该平台将允许我们免费运行和测试我们的系统。注册该平台将为您提供 5 美元的积分，无需信用卡信息，这将足以运行该项目。
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SambaNova provides a selection of models in Llama, Qwen and DeepSeek families through their APIs for applications and a Playground for exploratory purposes. When it com...