A type of AI model trained on large amounts of text that generates likely text from patterns in its input; it powers conversational assistants such as Copilot.
Title graphic: Large language model (LLM) (Concept)
In this episode, Mirko Peters explores one of the most ambitious experiments in enterprise AI: engineering Microsoft Copilot to analyze and reason across more than 35 million pages of highly complex and interconnected information, inspired by the scale and…
Artificial Intelligence is transforming the way organizations manage knowledge, documents, and collaboration. Yet as companies rush to adopt AI assistants and large language models, one question continues to dominate every conversation: how can you benefit…
Retrieval-Augmented Generation (RAG) is one of the most important techniques behind modern AI applications, enabling large language models to answer questions using your own business data instead of relying only on their training knowledge. In this episode of…
In this episode, we unpack two major AI platforms in the Microsoft ecosystem—Copilot Studio and Azure AI Foundry—and help listeners understand when to use each one. Whether you're building conversational AI, custom machine learning models, or enterprise-grade…
Small Language Models (SLMs) are emerging as one of the most important developments in enterprise AI. While Large Language Models (LLMs) power tools like Microsoft Copilot with impressive reasoning and language capabilities, they also introduce challenges…
For years, PowerShell scripts were the foundation of Microsoft 365 automation. IT admins built massive script libraries to onboard users, assign licenses, provision devices, configure Exchange, manage permissions, and automate repetitive operational work…
Everyone wants Copilot and agents, but fragmented data and weak governance undermine trustworthy answers. Mirko Peters talks with Walter Calcagno about Microsoft Fabric, semantic models, ontology layers, metadata and his AI readiness approach. Data…
This episode explores how organizations can connect Microsoft Copilot with the predictive capabilities of Power BI to move beyond simple reporting and toward proactive, data-driven decision-making. The discussion highlights that while Copilot excels at…
Most AI talk targets desk workers, yet the technicians, installers and inspectors in the field still drown in paperwork with little connectivity. Microsoft MVP Fergus Kidd, co-founder and CTO of FieldPal AI, shows builders and IT leaders how agentic AI on…
A machine stops and ERP, MES, maintenance and the PLC each know part of the story, so AI cannot safely optimize the response. This episode shows manufacturing and data leaders how semantic layers, knowledge graphs, digital twins and clear constraints give AI…
This episode explains the real difference between automation and agents, cutting through the confusion created by marketing and buzzwords. Automation is framed as rigid and repetitive, useful for consistent, rule-based tasks but incapable of adapting when…
Azure AI Search is Microsoft's intelligent search and information retrieval service for building modern search experiences and AI-powered applications. It combines traditional keyword search with vector search, semantic ranking, and AI enrichment, making it a…
Timeline of episodes about Large language model (LLM)
Copilot Data Flow Explained From Prompt to Response · Mirko Peters Wondering how your words become actionable results with Microsoft Copilot? This guide lays out the full journey—prompt to response—so you can see what&r…
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