Topic
AI
20 posts tagged “AI”.
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The Filters We Build: Scams, Slop, and the Search for Signal, From Radio Ads to AI
My grandparents' generation learned to tune out the radio pitchman. My parents learned to mute the commercials and hang up on telemarketers. I was…
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Iceberg Variant Type for AI JSON Data
A single LLM response is not a single value. It carries the generated text, a reasoning trace, one or more tool calls with their arguments, source…
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Mapping the Variant Type in Iceberg v3: Standardizing Semi-Structured AI JSON Payloads
AI applications are messy data producers. They create prompts, completions, tool calls, retrieval traces, ranking signals, evaluation scores, safety…
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What AI Is and Isnt: A Laypersons Guide to How LLMs Actually Work
Welcome to "Catching Up with Using AI for All Levels," a five-part series designed to take you from confused observer to confident AI user. This…
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Getting Started with AI for Free: Every Tool Google Gives You at No Cost
Most people think you need to pay $20 or $200 a month to get value from AI. That is not true. If you have a Google account which is free and most…
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ChatGPT and Claude: Which AI Service Should You Pay For
Part 2 of this series covered the extensive free AI tools Google offers through your Gmail account. Now we step up to the paid tier. ChatGPT from…
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A Tour of Specialized AI Tools: Music, Video, Images, and More
The first three parts of this series covered general purpose AI assistants: the chatbots and writing tools that handle text based tasks. But AI in…
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Going Advanced: Open Source Models, Hermes Agent, and Local AI
This is the final installment of "Catching Up with Using AI for All Levels." Parts 1 through 4 covered the fundamentals, free tools, paid services,…
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A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer
Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer
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A Journey from AI to LLMs and MCP - 9 - Tools in MCP – Giving LLMs the Power to Act
Tools in MCP – Giving LLMs the Power to Act
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A Journey from AI to LLMs and MCP - 8 - Resources in MCP – Serving Relevant Data Securely to LLMs
Resources in MCP – Serving Relevant Data Securely to LLMs
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A Journey from AI to LLMs and MCP - 7 - Under the Hood – The Architecture of MCP and Its Core Components
Under the Hood – The Architecture of MCP and Its Core Components
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Journey from AI to LLMs and MCP - 6 - Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents
Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents
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A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations
AI Agent Frameworks – Benefits and Limitations
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A Journey from AI to LLMs and MCP - 4 - What Are AI Agents – And Why They're the Future of LLM Applications
What Are AI Agents – And Why They're the Future of LLM Applications
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A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
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A Journey from AI to LLMs and MCP - 2 - How LLMs Work – Embeddings, Vectors, and Context Windows
How LLMs Work – Embeddings, Vectors, and Context Windows
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A Journey from AI to LLMs and MCP - 1 - What Is AI and How It Evolved Into LLMs
What Is AI and How It Evolved Into LLMs
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Building a Basic MCP Server with Python
The Basics of Building a Basic MCP Server
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Crash Course on Developing AI Applications with LangChain
A guide on building AI applications with LangChain, a framework for developing AI applications powered by Large Language Models (LLMs).