Deep Dives

algorithms assume you’re working with completely unlabeled data. But in the event you’ve actually worked on these problems, the fact is commonly different. In practice, anomaly detection tasks often include at the very...

I actually have decided to jot down concerning the history of information for several reasons. First, I work in data, and I wish to know the history of my field. Second, I imagine one...

in the sphere of enormous language models (LLM) and their applications is very rapid. Costs are coming down and foundation models have gotten increasingly capable, capable of handle communication in text, images, video....

of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the architecture. In the primary article, I laid the muse by showing how layered, modular design...

a technique to standardise communication between AI applications and external tools or data sources. This standardisation helps to scale back the variety of integrations needed ():  You should use community-built MCP servers whenever you need...

While publicly accessible training data is predicted to expire, there continues to be an abundance of untapped private data. Inside private data, the largest and best opportunity is—I feel—work data: work outputs of information...

in fashion. DeepSeek-R1, Gemini-2.5-Pro, OpenAI’s O-series models, Anthropic’s Claude, Magistral, and Qwen3 — there's a brand new one every month. Once you ask these models a matter, they go right into a ...

the world of monetary services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is of course modelled as a graph problem, where customers, accounts, transactions, IP addresses,...