What if I told you, you often lose your next big role to someone much less credible than you? Unjust, yes, but certainly not untrue. Here is the reality: recruiters, founders, and collaborators don’t discover talent through Kaggle notebooks. They discover it through visibility. Visibility on the ...

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models represent items as Semantic IDs (SIDs)—discrete token sequences—and treat retrieval as an autoregressive ...

In this tutorial, we build an advanced multi-agent communication system using a structured message bus architecture powered by LangGraph and Pydantic. We define a strict ACP-style message schema that allows agents to communicate via a shared state rather than calling each other directly, enabling ...

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and artifact store, enabling us to track experiments in a scalable, reproducible manner. We then train ...

As the industry moves from simple Large Language Model (LLM) inference toward autonomous agentic systems, the challenge for devs have shifted. It is no longer just about the model; it is about the environment in which that model operates. A team of researchers from Alibaba released CoPaw, an ...

Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.

Language models generate text one token at a time, reprocessing the entire sequence at each step.

I use AI a lot. But if I’m being honest, most of the time it feels like working with a brilliant intern who never actually touches the keyboard. It tells me what to do, suggests steps, and even drafts the perfect response. Yet I’m still the one switching tabs, filling forms, copying data, and ...

Nano Banana Pro has been my personal favorite tool for creating high-quality social media posts, infographics, project flows, and more. Now, Google has upgraded it with Nano Banana Pro 2, and it’s a serious step up. The new version is not only faster than the previous model but also more ...

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent space, models can scale effectively. However, a fundamental trade-off persists: lower information ...

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an aggregator agent, where each component plays a specialized role in solving complex tasks. We use the ...

Microsoft and OpenAI continue to work closely across research, engineering, and product development, building on years of deep collaboration and shared success.