Skip to content Water Cooler Small Talk, Ep. 9: What “Thinking” and “Reasoning” Really Mean in AI and LLMs
[ad_1] talk is a special kind of small talk, typically observed in office spaces around a water cooler. There, employees ...
Read more Agentic AI from First Principles: Reflection
[ad_1] says that “any sufficiently advanced technology is indistinguishable from magic”. That’s exactly how a lot of today’s AI frameworks ...
Read more How to Build An AI Agent with Function Calling and GPT-5
[ad_1] and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network such as ...
Read more How to Build Guardrails for Effective Agents
[ad_1] increasingly prevalent in a lot of applications. However, integrating agents into your application is a lot more than just ...
Read more How To Build Effective Technical Guardrails for AI Applications
[ad_1] with a bit of control and assurance of security. Guardrails provide that for AI applications. But how can those ...
Read more How to Perform Effective Agentic Context Engineering
[ad_1] has received serious attention with the rise of LLMs capable of handling complex tasks. Initially, most discussions on this ...
Read more How to Build a Powerful Deep Research System
[ad_1] is a popular feature you can activate in apps such as ChatGPT and Google Gemini. It allows users to ...
Read more TDS Newsletter: To Better Understand AI, Look Under the Hood
[ad_1] Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep ...
Read more 5 Techniques to Prevent Hallucinations in Your RAG Question Answering
[ad_1] problem when working with LLMs. They are a problem for two main reasons. The first apparent reason is that ...
Read more Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output
[ad_1] , the standard “text in, text out” paradigm will only take you so far. Real applications that deliver actual ...
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