Skip to content TDS Newsletter: How to Make Smarter Business Decisions with AI
AI-related business decisions are common: whether or not to deploy a new model, adopt a new tool, or launch a new ...
Read more Should We Use LLMs As If They Were Swiss Knives?
or so, it has been impossible to deny that there has been an increase in the hype level towards AI, ...
Read more Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals
a lot of thoughts these days with the advent of AI and the conversations around AI. we move into an ...
Read more LangGraph 101: Let’s Build A Deep Research Agent
that actually work in practice is not an easy task. You need to consider how to orchestrate the multi-step workflow, ...
Read more Agentic AI: On Evaluations | Towards Data Science
mostly a It’s not the most exciting topic, but more and more companies are paying attention. So it’s worth digging ...
Read more Finding Golden Examples: A Smarter Approach to In-Context Learning
Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn from ...
Read more The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons
my stuff, then you know that not too long ago, I wrote a piece about the Model Context Protocol (MCP)—explaining ...
Read more Building a Сustom MCP Chatbot | Towards Data Science
a method to standardise communication between AI applications and external tools or data sources. This standardisation helps to reduce the ...
Read more GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations
the world of financial services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is ...
Read more Agentic AI: Implementing Long-Term Memory
, you know they are stateless. If you haven’t, think of them as having no short-term memory. An example of ...
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