学生对 IBM 提供的 Fundamentals of AI Agents Using RAG and LangChain 的评价和反馈
课程概述
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MM
Feb 8, 2025
The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.
KA
Oct 23, 2025
I liked that the course focuses on the main concepts and demonstrating them in a simple way. The Labs are easy to follow.
26 - Fundamentals of AI Agents Using RAG and LangChain 的 36 个评论(共 36 个)
创建者 Vinod k P
•Sep 22, 2025
Lot to learn, but expected little more briefly.
创建者 T. F
•May 7, 2025
I wish there was more coding questions
创建者 Laxman G
•Aug 28, 2024
A glossary would be useful.
创建者 Anil P
•Nov 18, 2025
Good leaning model for AI
创建者 Gujjula R
•Nov 7, 2025
Good
创建者 Kiranbabu B
•Oct 15, 2025
good
创建者 Bevan J
•Nov 30, 2024
I think there are some issues with the tests - a number of times I feel the answers are either incorrect or the questions are poorly worded so as to be ambiguous. For example: "In agents, a language model is used as a reasoning engine to determine which of the following actions?" - LangChain agents use only Python code for building applications - Language model - Task manager - Data loader From the videos/summary, agents are clearly communicated as Task manager (see below). Additionally, the wording 'In agents' feels like it is referring to a field or domain of specialization which was never introduced; the concept of an agent as an object was taught. Furthermore, the grammar of the question and answers don't align - by asking for 'actions' you are asking for a verb, but all of the answers are nouns. " - Agents in LangChain are dynamic systems where a language model determines and sequences actions, such as predefined chains. - Agents integrate with tools such as search engines, databases, and websites to fulfill user requests. " Furthermore, an LLM by definition cannot be referred to as a reasoning engine as it is probabilistic by its very nature. The ability to reason (or produce reasoned responses) is not the same as a reasoning engine, which is something like a calculator that is deterministic and based on fundamental axioms.
创建者 Ranjeet T
•Jul 28, 2025
great
创建者 Marco I (
•Aug 4, 2025
Los videos describen las cosas muy rápido y los exámenes hacen preguntas que poco se entienden con los temas vistos,.
创建者 William E
•Jul 31, 2025
Labs didn't work properly. Which took up a great portion of the course. But the rest outside that was good.
创建者 Ankush B
•Sep 13, 2025
The audio is worst and seems he is rushing to teach. not able to understand.