AI
-
First principles methodology in AI by Aristotle – 5 step framework
First principles methodology is the practice of breaking a problem down to its most fundamental truths. What we know to be the absolute truth(s). Then we try reasoning upward to build new solutions with what we know to be the fundament. Instead of copying what’s been done before ( haha, said no developer ever). This methodology goes back to Aristotle, the ancient Greek philosopher who first articulated the idea of reasoning from “first principles.” What Is a First Principle? A first principle is a basic, foundational truth that cannot be deduced from anything else. It’s the bedrock of a problem: In AI, first principles might be: Anything else like framework…
-
Human in the loop (HITL)- best practices for agentic worklows
Human in the loop gives the best of both worlds. Best practice in agentic workflow is testing, verification,quality assurance. You name it. Workflow agents are automatons and can significantly enhance productivity, but their true potential is unlocked when combined with a human-in-the-loop (HITL) approach. This ensures that the agent’s actions are verified and refined by human expertise, leading to better outcomes. In addition it provides a feedback loop for learning and enchancing workflow processes. Why Use Workflow Agents with Human-in-the-Loop? Enhanced accuracy Agents may (or may not 🙂 ) on occasiona misinterpret instructions or context and provider infered data that is not what we wanted it to. Human verification ensures…
-
Kaizen in ai agent plan writing
Kaizen — continuous incremental improvement — is the most underrated mental model for building with AI. Not a big-bang plan. Here's how to apply Plan-Do-Check-Act to LLM workflows.
-
MarkItDown: convert 20+ file types to markdown for AI & LLM Ingestion
MarkItDown can convert different file types into AI / LLmeme friendly markdowns. Tool by Microsoft (microslop? to be less sloppy ? 😉 ). Library provides multiple converters for various files like PDFs, Word docs, spreadsheets, presentations and so on into a clean Markdown format. Aim is to make messy documents readable and structured so the input provided will be of higher quality. MarkItDown is a LLM powered library Traditional converters often fail on complex or scanned documents due to rigid rules and have problems handling edge cases that, simply, weren`t taken into consideration. MarkItDown uses machine learning for semantic parsing (hallucinations ? ) therefore achieving higher accuracy (that is of…
-
Markmap vs Mermaid for Spec-Driven Development (SDD)
Markmap vs Mermaid for Spec-Driven Development You will consider sooner or later. When You have to go “full on AI” documentation stops being a nice-to-have and becomes a must be part of the product. We need to convey a lot of information, with hopefully as little text as possible so we can easily read it and digest the information. Two popular options for Markdown documentation features are Markmap and Mermaid. They solve different problems, and the best choice depends on whether you want fast idea mapping or more structured diagrams for flows. When to use Markmap Markmap turns Markdown headings and bullet points into an interactive mind map. Useful for…
-
Jevons paradox in AI workplace
Jevons paradox in AI workplace Jevons paradox in AI workplace is introduced at work with a simple promise: do more in less time. In practice, the result are messy and stack the work. Jevons paradox is the idea that when something becomes more efficient, people and organizations often end up using more of it. In the AI workplace that can mean faster tools, automated work that do not always reduce workload. They can also expand expectations, volume, and ambition to utilize the improved (AIed ?) processes. Be aware At first glance, this sounds contradictory and just wrong. If a team can draft emails, summarize meetings, and generate reports in minutes,…
-
Need to know old boy. Principle of Minimum Access for LLMs
Principle of Minimum Access for LLMs can be described by Timothy Dalton as James Bond in “The Living daylights”. Bond says the phrase “Sorry old boy, section 26, paragraph 5, need to know.” to a fellow agent and drives off escorting a VIP – very important target. Behind the scene is a practical idea that fits modern AI systems very well: an LLM or agent (as in the movie) should only be given the minimum access it needs to do its job. Not more, not less. Bare minimum. Of course Mythos probably could jailbreak anyway but still… controll is the best form of trust ? This is not just a…
-
Structure for instructions, agents and skills
This all is the provide a nice clean idea on how to store your files so You can make Your AI assistant / LLM network understand what and how to do. Acording to Your more or less strict rules. This should help You to achieve more repeatable results as expected. The problem : generic answer Do not confuse with generic functions, those rock ! Out-of-the-box, any LLM (here copilot) creates generic code. You could call it ‘vanilla’ flavour. It doesn’t know your conventions, library preferences patterns / anti patterns. This results in something that might work but is hard to maintain, totally different then the rest of the lot and…
-
Protect your work with poison ?
Protect your work with poison ? Is there no other way around. Robots.txt ? Nobody cares. Copyrights ? LOL. Fair use policy ? As long as i don`t get caught. Protect your work with poison is the oldest trick in the book, especially by plants. Most of them have to be cooked, to be eaten and digested with benefit for us. Why not doing it with our work ?I am thinking about healthy amount of protecting our work. Does it mean anyone making a rembrandt style photo should pay the author of that style ? For 70 years ? How much and how long ? Why money at all ?…
-
Yet another basic AI glossary part 1
AI & Machine Learning Glossary for Beginners Yet another basic AI glossary part 1. This is base what i need to learn better and understand all that “AI” and “LLMs”. Feel free to go through all of it and dive deeper on those subjects. Defining here ai concepts, ideas, math functions, slang and anything that might be helpful in better understanding “the whole lot”. 1. Logit A logit is the raw output we get from a model before any functions are applied. Before the softmax functions. During classification logit shows the confidence of the model about everypossible output. 2. Logit Definition (Mathematical View) In math logits are real numbers output…
