Agent of LLM (3): HuggingGPT automatically calls the appropriate model of Huggingface according to user needs - Code World

Agent of LLM (3): HuggingGPT automatically calls the appropriate model of Huggingface according to user needs

Enterprise 2023-12-16 17:57:51 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/wshzd/article/details/134797108

Agent of LLM (3): HuggingGPT automatically calls the appropriate model of Huggingface according to user needs

According to user needs to develop social APP

Agent application development based on large model (LLM)

HuggingGPT is coming, LLM+ expert model, moving towards a more general AI

Automatically build and get USER_AGENT PROXY_LIST

HuggingGPT analysis: Use ChatGPT and families on HuggingFace to solve AI problems

Non-player character NPC, according to specific needs, automatically and smoothly turn to the first person (object)

According to the needs of custom admin

LLM：huggingface-datasets库

User Model Design 3 + CAPTCHA

Default HuggingFace model

Agent of LLM (5) | AgentTuning: Tsinghua University and Zhipu AI proposed AgentTuning to improve the ability of large language model agents

Python3 crawler disguise headers User-Agent

python reptile User Agent User Agent

MyBatis Reverse Engineering - automatically generated model, xml mapping file, mapper interfaces according to the data table

.net6 web api uses EF Core to automatically generate tables according to the model class

How to discover user needs

How to judge user needs

[AI Large Model] How to use LLM and intelligent question and answer BI natural language to automatically generate intelligent reports?

threeJS draws a 3D model according to the floor plan 1

Obtain the appropriate permissions menu based on user login

Request with automatic or user selection of appropriate client certificate

User agent pool

user-agent

Download the huggingface-transformers model

Language model: Application of GPT and HuggingFace

0042-python calls yolov3.weights batch vehicle detection and crops according to the recognition frame

Prompt word project of large language model (LLM) (3)

Set User-Agent random Scrapy Agent

What is the appropriate time for setting the timeout period for remote calls between systems?

Recommended

Ranking

Editable non-input, texrarea+vue realizes two-way binding (take div tag as an example)

[Machine Learning] Experiment 3: K-Means Clustering

지방혁신 및 srdp 프로젝트 검토

Visionpro tool use Chinese introduction

The trick of the SplashActivity of Android

The difference and usage of while and do...while

06 Properties of narray object of Python Numpy library

【数据结构与算法】栈与队列【C语言版】

Promise, Async/Await Detailed Explanation

SQL injection --SQL injection process

Daily

More

2025-04-19(0)

2025-04-18(0)

2025-04-17(0)

2025-04-16(0)

2025-04-15(0)

2025-04-14(0)

2025-04-13(0)

2025-04-12(0)

2025-04-11(0)

2025-04-10(0)