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AI and LLM articles – links to read
Some links and articles i think are worth Your while to read and get Your own opinion. The Top 100 Gen AI Consumer Apps — 6th Edition | Andreessen Horowitz When Small Models Outperform the Giant: A Practical Guide to Picking AI Brains – DEV Community https://builtin.com/data-science/step-step-explanation-principal-component-analysis How to run mcp inspektor modelcontextprotocol/inspector: Visual testing tool for MCP servers And some more for some bed light reading 🙂 https://techtrenches.dev/p/the-great-software-quality-collapse Vertical Slice Architecture PQ4R Method: 6 Steps to Learn Effectively | 1Focus
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97 Things Every Data Engineer Should Know – book review
97 Things Every Data Engineer Should Know review will be a positive one. This style of books is currently my favorite. Might get another one from the series 🙂 It is bits and pieces of knowledge You can digest easily. Scattered across multiple disciplines teachings are of a principle design. Book is technologically agnostic, meaning rules, law, principles and methodologies presented You can use with any framework or system. It is like the design principles. Great read, would recommend. 97 lessons to pick from The book is all about best practices, system design, queues, asynchronouse communication and many more. You can easily read it day by day when You “meditate”…
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What LLM model to choose ? Check Models.dev
What LLM model to choose ? Considering its size, cost in cloud ( average), tokens per input and other parameters You really need to visit Models.dev — An open-source database of AI models. It is a great one stop shop for many many models to compare and figure out what would You like to use or maybe run locally on your graphic cards GPU 🙂 Huge list of models and it`s parameters How to Choose the Right Model When in doubt visit Models.dev that makes it easier to see all this info in one place so you don’t have to dig through a lot of technical stuff or paperwork. On…
