Sample Questions - AWS Certified AI Practitioner Certification Exam (AIF-C01) - Part 2

  Рет қаралды 3,308

GenAI with Rahul Trisal

GenAI with Rahul Trisal

Күн бұрын

Пікірлер: 9
@trisalrahul
@trisalrahul 3 ай бұрын
This video is part of my amazing Udemy Course to help you pass AWS AI Practitioner Certification - Preview from the following link - www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-beginner-to-advanced/?referralCode=AA339617BC1B7300CBF2
@SauravR402
@SauravR402 3 ай бұрын
Thanks for sharing the knowledge. 😍
@trisalrahul
@trisalrahul 3 ай бұрын
Thanks Saurav
@stealthragnarr2644
@stealthragnarr2644 Ай бұрын
11:23 It should be Amazon Q Business, Knowledge bases are RAG based databases orchestrated in Bedrock through Agents fetched the data from RDS or S3 and yes, they are Enterprise data but Amazon Q Business is Q/A app where employees pose a question and get a response, although Agents also work on same principle but it is done on Internal company data where the developer of Model works on, but here are employees who are not concerned with fetching the info to Model in Bedrock, so, correct answer should be *Amazon Q Business*
@atharvadomale
@atharvadomale 3 ай бұрын
why your notification bell icon is off??
@mohantyicm
@mohantyicm 3 ай бұрын
Wonderful Explaination as always. Sir, for Question 4 should it not be Q-Business , as it says Q&A App ?
@trisalrahul
@trisalrahul 3 ай бұрын
Good point Mohan, it can be Amazon Q business as well but Amazon Bedrock Knowledge Bases offers more flexibility compared to Q
@lordfurion
@lordfurion 3 ай бұрын
@@trisalrahul You don't use Knowledge Bases to build applications. You use Knowledge Bases as the RAG for Bedrock models. Correct answer is Amazon Q
@trisalrahul
@trisalrahul 3 ай бұрын
@@lordfurion - Thanks for watching and your comment, helps me elaborate. Let me explain - Question says ''Which managed AWS Service can be used to build RAG based apps'' . There are 3 options - 1. Use Amazon Bedrock along with a Vector DB such as AWS Open Search or Pinecone to build RAG based apps but you need to write lot of custom code, 2. Bedrock + KnowledgeBases(KB) can be used to build RAG based apps where Knowledge Bases manages the RAG workflow (and less code as it is aws managed) 3. Amazon Q for Business can be used for building RAG based apps which uses Bedrock in the background like other options but it is again AWS managed (No code). If you want to learn how to build all of these HANDS-ON check my Amazon Bedrock Course (10,000+ Learners) - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?referralCode=A02153572B8864F928E7
Непосредственно Каха: сумка
0:53
К-Media
Рет қаралды 12 МЛН
Маусымашар-2023 / Гала-концерт / АТУ қоштасу
1:27:35
Jaidarman OFFICIAL / JCI
Рет қаралды 390 М.
JISOO - ‘꽃(FLOWER)’ M/V
3:05
BLACKPINK
Рет қаралды 137 МЛН
Air Sigma Girl #sigma
0:32
Jin and Hattie
Рет қаралды 45 МЛН
AWS Certified AI Practitioner Course | AIF-C01 Training
24:06
Architecture Bytes
Рет қаралды 5 М.
Transformers (how LLMs work) explained visually | DL5
27:14
3Blue1Brown
Рет қаралды 4,1 МЛН
GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
19:15
How I built an AI Teacher with Vector Databases and ChatGPT
13:43
Непосредственно Каха: сумка
0:53
К-Media
Рет қаралды 12 МЛН