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A.i feel amazing.

very good video.. thank you so much.

Thanks

Cool

Thanks for sharing the info....

Thanks - learned a lot.

The great challenge is access cloud, sap and crm as a salesforce e.g. After that, agents Will spread a lot

I agree 100%

Military application will be autonomous drone swarms.

Watch the entire video on our youtube channel @Botnirvana th-cam.com/video/WmO-C1bp7CE/w-d-xo.html

I think we still have a ways to go before LLMs are reliable enough to just hand off entire workflows to them. I think they are great at specific NLP tasks, but I haven't seen them handle every situation in a super reliable way - which means I couldn't build an automated solution that way and hand it off to a customer.

We are building a massive agentic system. 1 agent ≠ 1 role/job; 1+n agents ≈ 1 role/job.

This video is a real gem.

Great video , lot of insight shared , i am sure things are going to be disruptive in next 5 years

Extremely Inspiring. Thank you. Subbed.

10s of TRILLIONS of dollars? Annual global spend on ENTIRE IT this year is expected to be just over $5 trillion. So you expect just AI Agents (latest flavor of rapid introduction of AI buwords) is going to exceed 2 years of global spend in the future ? Just some RANDOM VERY LARGE ROUND NUMBER? Or is there some computation behind this claim ?

Sir u mentioned point 3. Memory(long and short), I See in comments someone commented about techniques (e.g RAG). I am facing issue on this concept only that I am using an underline model like GPT, GEMINI etc and want to train them specifically on my own data and devise a algo to act in a certain direction but I am not sure how to save the state where underline model is aware of my data and customisation to give a directional response when ever someone prompts with my AI agent. Can you guide me in a direction to learn this or where is my understanding flawed.

Please make more videos on AI agents

Good Video , can we also process CSVS data like instead of custom model learning we use 3rd party next gen Ai?

AI agents are versatile digital assistants capable of diverse tasks and interactions, whereas SmythOS is designed to optimize specific user experiences within its dedicated technological environment.

Very well explained, thank you

Thanks for the amazing response🙏🏽 Appreciate your thoughts on AI Agents. What do you think?

📌 How do you think AI agents will transform the tech landscape? Share your insights below 👇🏼

I wouldn't like to see an AI agent go ahead and book tickets for me before it shows me the itinerary and the ticket prices

Thanks for sharing this

Its not new, people are building them for 2 years now...

Good content....Naatil evadaya....

Great video....I was just wondering that LLMs like Gemini, OpenAI are really powerful but how can we use their power??? I mean their responses are so random even at 0.4 temperature. What if i want to use the output of the LLM to drive my workflow? For this the LLM must always output "exact" answer & not just "correct answer". For Eg : To classify the issue "My Laptop is showing blue screen", LLM will classify it as "OS" / "Windows"/ "Blue screen error". All are correct but to drive my workflow who is only looking for "OS" value condition, other suggestions will break my workflow in spite of being correct. So we need a kind of control on output for automating using LLMs. That's where AI Agents will rock. Need your advice on how to learn creating AI Agents using LLMs. Is there any formatting language, framework etc. to build agents in the form of prompts? I have found Guidance as one but its bit difficult to learn. :)

Very good explanation. It was easy to understand. Thank you!

Today you need AI agents to translate from user prompts to structured API calls of traditional websites. But that doesn't have to be the future. Each site would evolve their API calls to handle natural languages too. So the agents of the future would be one that converts user prompts to multiple sub prompts to be injected into different agent functions.

A very good effort! However, LLMs do have memory for specific details about past interactions with a user. Though there are techniques (e.g RAG) to mimic memory, by including past conversations within the context window along with the prompt.

Ai is best

How to do all these use cases?

Thank you, I finally get it now.

please tell me how to become an ai agent builder from scratch especially for non cs background people Thank you

Good content. Imagine how many layers of Security is needed to allow agent to do financial transactions.

How do I become an A.i agent?

Such an informative video , thanks .

How we can learn ai agents?

Video was informative. Just few feedback, Video: Jump cuts, zooms do loose eye contact and focus, transitions can be improved. Try integrating visual elements more. For audio the shhh sound is quite a noise, will suggest to use Audition. Overall video was excellent!

I have to say AI agent can replace all the programmers in SAP, Oracle , Microsoft , Google and other big tech companies

Thanks...

Hi, I work on AI agents, and have a good knowledge of Langchain and Langgraph. Would like to have a chat with you about my startup.

I have been articulating these concepts with many peers at my work 9 months ago on exactly what you are mentioning here. I believe this is where AI agents will take AI to a whole new level and start changing industries. Such an amazing time to be part of. AI agent software engineers is where it will be at in 6-9 mths!

Good video mate

ai agents definitely be the most important path in the field of llm

Bro, just a constructive feedback. You talk a lot unrelevant stuff. The 11 min video could have been a 5 min crisp and to the point video. Unfortunately, I have to close the video after 5 min only since you didn't even start talking about the agents after 5 min

Great video with a lot of good insights / updates, thank you for sharing Nandan 👍

Pls provide some topics to create genai application for hackathon

Thanks Nandan for this informative video. Do you have any tools you prefer for process mining and documentation? Thanks