Category: AI and LLMs
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When to Build In-House vs Hire Consultants: A Cost-Benefit Framework
Your VP of Engineering wants to build everything in-house. Your CFO wants to hire consultants for everything. They’re both at your desk arguing their case, and you’re caught in the middle trying to figure out what actually makes sense for your business. They’re both right. And they’re both wrong. The decision to build in-house vs…
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When Companies Actually Need AI Teams (And When They Don’t)
Most companies building AI teams in 2025 are making a $500K mistake. They’re hiring data scientists and ML engineers because their competitors are doing it, or because their board asked about “our AI strategy” or because it feels like the thing you’re supposed to do. Unfortunately, the majority of companies building AI teams don’t actually…
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AI Agentic Frameworks Comparison: End of 2025
Remember 2023? Every week brought three new AI agent frameworks, and everyone promised they were “production-ready.” Most weren’t. Fast forward to December 2025, and the chaos is over. The landscape has consolidated into maybe six AI agentic frameworks that actually work in production, not fifty. I’ve been building AI systems with these frameworks for clients,…
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The Real Cost of Building an AI Team: Budget Reality Check
You’ve got budget approval to build an AI team. The exec team is excited. Your CFO just signed off on $500K for Year 1. Seems like plenty, right? That $500K budget covers maybe 2-3 people if you’re lucky. And that’s before infrastructure costs, recruiting fees, training, and all the hidden expenses that pop up once…
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Fine-Tuning LLMs. On A Mac.
Learn how to fine-tune open source LLMs locally on your Mac using Apple’s MLX framework. No cloud costs, complete privacy, and surprisingly fast results with M-series chips.
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LLM Context Windows: What Actually Matters
Understanding context windows beyond the marketing hype. Real costs, performance trade-offs, and when bigger isn’t better for LLM applications in production.
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What is Agentic AI? Beyond Chatbots to Autonomous Systems
Agentic AI systems can set goals, make decisions, and take actions autonomously. Learn how these autonomous agents differ from chatbots, why 79% of organizations are adopting them, and what it means for your business in 2025.
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Building AI Apps Just Got Way Easier: Microsoft’s AI Toolkit for VS Code
If you’ve been curious about building AI-powered applications but felt intimidated by the complexity of setting up models, managing APIs, and juggling different AI platforms, Microsoft just dropped something that might change your mind. The AI Toolkit for VS Code gets a lot of things out of your way and simplifies the process. What’s All…
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The General-Purpose CrewAI Template: Everything in One File
Update: I had originally posted this before, but decided to make a few changes to the template: namely, adding functions and putting everything into a class. This is the new version. CrewAI enables developers to orchestrate teams of AI agents that work together to solve complex problems. Instead of managing multiple files and complex project…
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CrewAI: Multi-Agent Systems Made Simple
Build multi-agent AI systems with CrewAI’s Python framework. Learn how to orchestrate autonomous agents that collaborate to solve complex tasks and automate workflows.
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Running LLMs on Your Own Machine: A Quick Guide to Ollama
Set up Ollama to run LLMs like Llama and Mistral locally on your machine. Skip API costs and keep your data private with this step-by-step local LLM guide.
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What’s the Deal with Snowflake Cortex AI?
Snowflake Cortex is basically Snowflake’s way of saying, “Hey, we do AI now!” It’s a fully managed service that brings machine learning and generative AI right into your Snowflake environment. So instead of shipping your data out to some other service for analysis, you can just do the smart stuff right there, right where your…
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The Rise of Multimodal AI: Why Future AI Systems Will Process Text, Images, and Audio Together
Remember when you had to choose between texting or calling someone? Or when you couldn’t send a photo in an email without jumping through hoops? Those days feel ancient now, right? Well, AI is having its own “why not both?” moment, and it’s pretty exciting. We’re witnessing the rise of multimodal AI; systems that can…
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The Complete Beginner’s Guide to Understanding Neural Networks
Ever wondered how your phone recognizes your face, or how Netflix knows exactly what show you’ll binge next? The answer is probably neural networks – the brain-inspired technology that’s quietly running a huge chunk of the AI we interact with every day. Don’t worry if the term “neural network” sounds intimidating. By the end of…
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Building a Production-Ready RAG with Databricks Mosaic AI Agent Framework
Ever tried building a chatbot that seemed brilliant in demos but completely fell apart when real users started asking it questions? The gap between “cool AI prototype” and “actually useful enterprise application” is where dreams go to die, and where Databricks Mosaic AI Agent Framework comes to the rescue. (BTW, if you’re working with Databricks…