YoVDO

Why I'm Staying Away from Crew AI - A Critical Analysis

Offered By: Data Centric via YouTube

Tags

AI Engineering Courses Software Development Courses Python Courses Multi-Agent Systems Courses Retrieval Augmented Generation (RAG) Courses AutoGen Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a critical analysis of Crew AI's suitability for production use cases in this 54-minute video. Delve into the reasons behind the speaker's decision to avoid Crew AI and discover alternative approaches for building AI applications. Gain insights into multi-hop questions, examine a schematic of the agent workflow, and review Crew AI Python code. Observe the testing process for the Crew AI workflow and contemplate the future of multi-agent frameworks. Access additional resources, including hands-on projects, GitHub repositories, and related articles to further enhance your understanding of AI engineering and large language models.

Syllabus

Introduction:
Inro to multi-hop questions:
Schematic of the agent workflow:
Crew AI Python Code:
Testing the Crew AI Workflow:
What’s next for Multi-Agent frameworks:


Taught by

Data Centric

Related Courses

Stanford Seminar - Failures & Where to Find Them: Considering Safety as a Function of Structure
Stanford University via YouTube
Modeling Conceptual Understanding in Image Reference Games - CVPR 2020 Tutorial
Bolei Zhou via YouTube
Multi-Agent Reinforcement Learning - Part II
Simons Institute via YouTube
AI- From Algorithms to Ethics - ACM WomENcourage 2020
Association for Computing Machinery (ACM) via YouTube
Python Reinforcement Learning using OpenAI Gymnasium – Full Course
freeCodeCamp