【吴恩达】手把手教《构建你自己的数据库智能体》(附代码):Building Your Own Database Agent——大模型/LLM/Langchain共计7条视频,包括:1-Introduction 介绍、2-Your First Al Agent 您的第一个AI 代理、3-Interacting with a CSV Data与 CSV 数据交互等,UP主更多精
课程将涵盖如何部署 LLMs 构建 AI 代理,实现与表格数据的机器人控制(RAC),开发数据库代理,构建函数调用系统,以及集成 Azure OpenAI Assistance API。 通过Azure OpenAI Service 和 Lang Chain,学习者将了解如何使用这些概念。 数据库代理代表了数据分析的新方向,使得用户可以不需要学习 SQL 等查询语言,通过 LLM 与数...
You have several options, from training your own model to using an existing one through APIs. [Image created with Firefly/Adobe] Large language models are the foundation for today's groundbreaking AI applications. Instead of training an LLM on a massive dataset, save time by using an existing ...
When building alarge language model(LLM) agent application, there are four key components you need: an agent core, a memory module, agent tools, and a planning module. Whether you are designing a question-answering agent, multi-modal agent, or swarm of agents, you can consider many implement...
In this tutorial we will create a personal local LLM assistant, that you can talk to. You will be able to record your voice using your microphone and send to the LLM. The LLM will return the answer…
llm=llm, toolkit=toolkit, verbose=True, agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION, ) Start chatting with your data To start chatting with our Azure SQL DB, we can directly input our question into the agent we previously initialized. Let’s start with something simple: ...
For all top placers, we will be verifying that the code you submitted via the form before the closing of the competition does indeed yield your final submission csv.The old leaderboard of the submitted solutions can be found here.About LLM-Merging: Building LLMs Efficiently through Merging ...
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This repository provides a step-by-step guide to creating your own large language model (LLM). It walks you through each stage of the process, from initial design to pre-training on a general corpus and fine-tuning for specific tasks. - givgramacho/Build
Note: The planner agent could delegate to some of the agents, not neccessarily to all. Also each agent would have it’s own set of inputs not shown in the diagram. 注意:规划代理可以委托给某些代理,但不一定委托给所有代理。此外,每个代理都有自己的一组输入,图中未显示。