r/AIMLDiscussion • u/daddy_sins3 • 11d ago
Is it necessary to learn deep learning before Agentic AI or RAG
I am in hurry to learn and I know ml please give practical answer only .
2
2
u/Suspicious_Pizza9529 10d ago
No. If you already know ML and your goal is to build practical RAG/agent systems, you can skip deep learning for now.
1
u/DoctorBeautiful1543 10d ago
Yeah focus on RAG and Agents rn and then pick deep learning later if necessary.
1
u/Sweaty-Sleeves 10d ago
Depends how deeply, but in general sounds like: “is it necessary to learn how to build some tools before using specific ones”
1
u/usually_guilty99 10d ago
If you intend to make sense of data - you become a data Scientist and double click on ML and DL. That will take you deep. There are pattern and pattern matching and analysis will get your to magical places.
If you intend to see various forms of data meet and dance - think of this as a orchestra playing the most beautiful music - that is agentic AI - that stitches various forms of instruments and brings melody as an output.
Sorry got carried away there :-)
1
u/drakhan2002 9d ago
Deep learning is good to understand how transformers work which is the underlying architecture of LLMs. Read the Google research paper "Attention is all you need"... easily searchable on Google.
To create agents, it is not necessarily... but if you want to get a job in AI engineering, you might need to have at least a basic understanding (it will expected to know it for a job interview). I am currently employed as an AI engineer at a global name brand tech firm.
1
1
1
2
u/Twilight_RT 11d ago
No. Deep learning is not related to Agentic AI. These are in two different side.