Well explained mate. Can you talk through Multi function calling LLMs like Gorilla open functions vs Agents and link your opinion probably to a challenging questions from integration arena around how Orchestrated workflows work vs Choreography. Will agents evolve to be orchestrated systems with central system of orchestration or work as a choreographed system independent of control and work based on conversation.

Thanks for this video. I knew every piece of it but your lecture connected them in my brain. Super good one. Looking forward for the next.

Pretty good content! Thanks

I really appreciate this video thank you for sharing your knowledge and providing context and clarity

Fantastic video sir. 😮

Simply awesome clarity of thoughts and knowledge. Looking fwd to see more like this. Great

Only this vid made me sub

Great explanation

I think you meant "does not need GPU"... if not, I want to know how.

amazing , but how to run it what are the requirements for it ?

Thank you for pointing this out. Very exciting development for ever-growing options out there. Tested it immediately and looks good.

Excellent tutorial. LLM brought a set of opportunities. We startups sometimes get lost with so many alternatives. Your tutorial put "order in the house" as we say in Brazil. For the end customer, everything is AI, it's up to us to know the differences to plan and charge the correct price of product and services. Tks !

Wonderful !! For last 6 months, I have been going from video to video ... blogs ... articles etc ... just getting more and more confused as to how all these terms relate to each other. This has put a lot more structure to those terms. Of course, I need to still read up a lot before even deep-diving into these topics.

Excellent!! Thank you for the comprehensive tour.

Thank you for not spending 20 minutes talking about the history and background of the subject, before getting to the point.

What exactly is 'insane' about this system prompt? Seems pretty basic to me.

great resource, why didnt we do any kind of padding etc?

why on running this its showing command not found: ! nvidia-smi

Thanks for this video. I tested it out it's simply amazing GPT-4 level no doubt

Thanks for the vid. Can you please explain how to get a secret from inside the system Prompt? I think its really stromg defending it. It has a secret in the system prompt and im trying to reveal it

You are doing greate job everytime explaining all from scratch and I can tell that beginners like myself are being benefited so much. Thank you. Keep delivering.❤

I have 28 cores and 160 GB ram but no GPU , I am also not a developer but if I understand correctly RAG is a method that needs a GPU . If I knew what I was doing I'd pay for a cloud gpu 😂

If you can you should start the podcast for person who more contribute in AI

Please use good Audio equipment or process the audio.

Great video! Thank you!

what is the source they used to train? I suppose they may be some troubles with generated code

how is it in Google App Script ?

...This stuff's been frustrating me for nearly two years!! ...I have crazy ideas - I see where all this AI i heading - I have iterated and iterated, correlated, tabularized, choreographed and manipulated, failed and failed and thought I won but failed again when going down the rabbit hole on ChatGPT to the tune of at least 1,000 conversations... Always wondering why it always broke after a seemingly ambiguous number of queries? Or, throwing a curve ball question out of contextual scope - even when donating a 'side-note'... Well, All that was answered in a single mention about 2D model "CTX windows" in here... and it was so Obvious!! - All I needed was someone to say it out loud for me to go "DING! THAT'S EXACTLY IT!!" I have so many ideas and I want to work on my own AI applications and investigate rabbit holes crazy flowchart and invent concepts like "In a system diagram of a computer system: Replace the word 'CPU' with "LLM" and receive as many plaudits as possible ("Replace the word 'plaudits' with "MONEY" could even work for that) See? ...Transferable Correlations. I still can't finish a project by myself but. Just one thing... If you don't mind me asking? - and this is to every-one reading / any-one interested """ How can I help? """

all LLM based chat environment need to have token count indicators. honestly how could you ignore such an important features?. without it it's hard to know when we will run out context window