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The Problem: Lost Context, Lost Thoughts We’ve all been there. You’re deep in a technical discussion with an AI assistant—analyzing code, exploring architecture, or debugging a complex issue. The conversation is rich with insights, and you think: “This would make a great blog post.” But then reality hits: you need to switch to your blog repository, format the content, commit it, push it, and wait for the build. By the time you’re back, the original context is gone, and the momentum is lost. ...

Introduction As a long-time podcaster, I’ve always enjoyed sharing my thoughts and ideas through audio. While the world of video content—and the role of a YouTuber—has its allure, the complexities of video editing have kept me anchored in the realm of podcasting. My journey has involved leveraging platforms like Spotify Creator (formerly Anchor) for hosting and distributing my recordings. This platform offers a wide array of features for free, including audio recording, editing capabilities, and automatic promotion to Spotify. ...

Local Large Language Models (LLMs) have been gaining traction as developers and enthusiasts seek more control over their AI tools without relying solely on cloud-based solutions. In this blog post, I’ll share my experiences with Ollama, a remarkable tool for running local LLMs, along with other tools like llamaindex and Candle. I’ll also discuss various user interfaces (UI) that enhance the local LLM experience. Table of Contents Introduction to Ollama A Popular Choice Ease of Use Built with Golang My Practices with Ollama Preferred Models Llama 3.1 Mistral Phi-3 Qwen-2 Hardware Constraints Exploring UIs for Ollama OpenWebUI Page Assist Enchanted AnythingLLM Dify Diving into llamaindex Experimenting with Candle Conclusion Introduction to Ollama A Popular Choice Ollama has rapidly become a favorite among developers interested in local LLMs. Within a year, it has garnered significant attention on GitHub, reflecting its growing user base and community support. ...