Agentic AI

that truly work in practice just isn't a simple task. You must consider find out how to orchestrate the multi-step workflow, keep track of the agents’ states, implement essential guardrails, and monitor decision processes...

Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn from them before handling the following input, has proven to be very effective in guiding...

mostly a It’s not essentially the most exciting topic, but an increasing number of firms are being attentive. So it’s price digging into which metrics to trace to really measure that performance. It also helps...

my stuff, then you realize that not too way back, I wrote a chunk concerning the Model Context Protocol (MCP)—explaining what it's, how it really works, and even walking you thru constructing your...

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...

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,...

Surpassing the bounds of practiceWithin the realm of skill development — whether in music, sports, or sales — practitioners often encounter a performance plateau: some extent where progress stalls despite continued effort. This phenomenon,...

By delivering tools online via subscription model, Software as a Service (SaaS) modified the way in which enterprises worked. Still, the capabilities were limiting for some, so vertical SaaS added industry-specific functionality. Then got...