AI Agents are powerful, but without security, they’re also dangerous. In this episode, Jigyaasu learns why AI Agent security isn’t just a technical concern, but a leadership and business imperative. From prompt injection and hallucinations to dat...

Over the years, LLMs have become great at understanding training text and images. But things fall apart when we move to new data type. For example, medical scans, or sensor data. Training an LLM on these new data types usually needs thousa...

But what if the next phase of AI doesn’t isolate us? What if it brings us together? Picture this. It’s 3:00 AM. You’re talking to an LLM about a relationship problem that strangely feels like debugging code. The model pauses and asks: “Do...

But what if the next phase of AI doesn’t isolate us? What if it brings us together? Picture this. It’s 3:00 AM. You’re talking to an LLM about a relationship problem that strangely feels like debugging code. The model pauses and asks: “Do...

Through humour, simple analogies, and real-world examples, Jigyasu and Saral explore: What MCP Servers are and who builds them How MCP makes AI Agentic systems scalable, maintainable, and safe What is Google's A2A and more > Next episode: AI Age...

Speech isn’t just words. It includes emotion, accent, tone, and identity – all mixed together. Traditional audio tokens try to capture everything. That makes them heavy, complex, and inefficient for language models. For example: Imagine ...

Let us build a multi-AI agent system that can customize your resume according to the "Job Description." It would also come up with the probable questions that the interviewer might ask based on the JD. All you need to do is upload your basic r...

Can AI Agents debate? Let us build a Multi AI Agent Debating System using AutoGen, where AI agents don’t just answer, they argue! Basically, Autogen provides this functionality of "Conversable Agents" and in this video, let us learn how to use th...

Employees are feeding sensitive data into Copilots and AI tools at massive scale. Most of it happens through unmanaged personal accounts, invisible copy/paste flows, and non-federated logins. Traditional DLP tools don’t even see it. A ne...

Employees are feeding sensitive data into Copilots and AI tools at massive scale. Most of it happens through unmanaged personal accounts, invisible copy/paste flows, and non-federated logins. Traditional DLP tools don’t even see it. A ne...

Employees are feeding sensitive data into Copilots and AI tools at massive scale. Most of it happens through unmanaged personal accounts, invisible copy/paste flows, and non-federated logins. Traditional DLP tools don’t even see it. A ne...

Here are a few "hype-free" practical differences: 1. Run multiple AI agents at the same time Say: “Clean the backend, improve UI, and write tests.” Antigravity spins up several agents that actually execute these tasks side-by-side. VS Cod...

The Problem Most language models accidentally memorise private data - even if it appears only once. A phone number buried in a blog post, a home address mentioned in a forum, a unique email ID in a dataset… once a model sees it, it can quietl...

We know that LLMs are pre-trained models and therefore have a knowledge cut-off. And that's the reason they can't answer current affairs questions. So, let's build an AI Search Agent that can access Google Search using the API for current af...

Building an AI product ≠ Using AI in a product. One means AI is the heart of the solution. The other just adds AI to something that already works. You can know everything about models, prompts, benchmarks, inference speed But if you can’t fram...

Not many companies reveal the environmental impact of their AI models But French AI startup Mistral has disclosed the full environmental footprint of its flagship model, Mistral Large 2 123B parameters. Training the model emitted 20,400 metric...

Let us learn "AI Agent Evaluation" with humour. AI Agents can plan, reason, and act - but how do we know if they’re doing it correctly? What if you wanted to book a ticket to London, but the AI Agent booked one to Lisbon? We have to evaluate...

Not many companies reveal the environmental impact of their AI models But French AI startup Mistral has disclosed the full environmental footprint of its flagship model, Mistral Large 2 123B parameters. Training the model emitted 20,400 metric...

For years, AI model creators treated the internet like an open buffet - a limitless source of data to train their models. But now, that buffet is closing. Publishers are blocking AI crawlers and demanding payment for access. Why? Wikipe...

For years, AI model creators treated the internet like an open buffet - a limitless source of data to train their models. But now, that buffet is closing. Publishers are blocking AI crawlers and demanding payment for access. Why? Wikipe...