agentic workflows are connected to others models to do tasks like execute code in the terminal, surf the web, etc. COT alone is just within the LLM without access to other models
AI Agents scare me a little, they are very efficient in narrow domains at the cost of the big picture. LLMs can do correlations across domains that AI agents can't, although great in their domain they will lack in discovery and creativity needed for the progress of science. Basically losing the big picture.
This was so a great talk. Love the little demo site at the end too, very inspiring.
Andrew Ng is the person whom I follow, trust, and look for new information on AI. Thanks.
His calmness is always brilliant . Such a wonderful insight as always
This is Genius! I know someone who needs help transcribing podcasts, but AI could do that and store it in pandas
How is chainofthought pattern is different than this Agentic workflow?
agentic workflows are connected to others models to do tasks like execute code in the terminal, surf the web, etc. COT alone is just within the LLM without access to other models
AI Agents scare me a little, they are very efficient in narrow domains at the cost of the big picture. LLMs can do correlations across domains that AI agents can't, although great in their domain they will lack in discovery and creativity needed for the progress of science. Basically losing the big picture.
All these “experts “ watch the top 3 guys talk then they do weak “speeches” like this
Do you know who he is?
@ better question geek, do you know who I am?
@@yngree both of you have no idea who I am
@@user-hy8ul7wg9d I don’t care obliviously
@@yngree you are so cool. you should be workshipped