【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
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 ...
LLM 1/1 创建者:猫咪狗咪豆咪都是咪 收藏 吴恩达《构建你自己的数据库智能体|Building Your Own Database Agent》中英字幕 1.1万播放 1.intro.zh 03:04 2.Lesson 1 Your First AI Agent.zh 09:17 3.Lesson 2 Interacting with a CSV Data.zh 12:17 4.Lesson 3 Connecting to a SQL Database.zh...
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
To build an LLM agent, you need the following tools: Retrieval-augmented generation (RAG) pipeline:You can’t solve the talk-to-your-data problem withoutRAG. So, one of the tools that you need is a RAG pipeline. For more information about how to build a production-grade RAG pipeline, ...
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: ...
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…
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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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。