AI Agents Explained: How This Changes Everything

Are you ready for the paradigm shift in Technology? AI agents are not just the next big thing—they’re the game-changer we’ve all been waiting for!

00:00 Introduction
00:38 What are AI Agents?
02:58 How AI Agents are Changing the Tech Landscape
06:56 Challenges Facing AI Agents
08:58 Why AI Agents are a Big Deal

AI agents represent the next evolution in artificial intelligence, capable of reasoning, planning, and acting autonomously within defined constraints. Unlike traditional applications that require hard-coding of logic, AI agents can understand and respond to natural language prompts, making them more intuitive and user-friendly.

The impact of AI agents on the tech landscape is profound, rendering many traditional applications obsolete and paving the way for a new era of digital transformations. These agents leverage LLM-based architectures, which allow for high-level direction and problem-solving without the need for detailed programming. This transition is making technology more accessible and reducing the complexity of creating and managing digital solutions.

However, the adoption of AI agents comes with its set of challenges. The technology is still in its nascent stages, and frameworks like AutoGPT have shown the pitfalls of giving too much control to AI. Ensuring the accuracy and safety of AI decision-making, maintaining human oversight, and addressing potential over-reliance on AI are critical hurdles that need to be overcome. Furthermore, robust validation mechanisms and regular audits are essential to mitigate biases and ensure the reliability of AI systems.

Despite these challenges, the potential benefits of AI agents are enormous. The market for AI-driven solutions is projected to grow exponentially, with AI agents playing a pivotal role in augmenting or even replacing various white-collar jobs. This does not imply a reduction in the workforce but rather a transformation in job roles, where AI agents act as artificial partners, enhancing human capabilities.

This collaborative approach between humans and AI can lead to unprecedented levels of productivity and innovation, creating new job opportunities and expanding the economy. As we move towards a future where AI and humans work in tandem, the possibilities for technological advancements and economic growth are boundless.

FOR EVERYTHING BOT NIRVANA...

[nandanmullakara]

Thanks for the amazing response🙏🏽

Appreciate your thoughts on AI Agents. What do you think?

[Disciplined_Won]

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

[Psrk]

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.

[bobyluvs]

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

[RBS]

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.

[shvmsxn]

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

[afterrainoriginal]

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

[LeChaimWine]

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.

[vinodb]

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

[ujjwalkumar-wetl]

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.

[Jerrel.A]

Extremely Inspiring. Thank you. Subbed.

[sayianjacob]

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

[ravishmahajan]

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. :)

[FireBase-qh]

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!

[ritikeshchoube]

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

[BotNirvana]

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

[GeetanjaliPusapati]

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.

[philipkoshy]

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

[GeandersonLenz]

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

[subusrable]

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