Michael Wolfrath
@michaelwolfrath
Mathematician & Computer Scientist | Enterprise & Solution Architect | AI Strategist | Technologist in love w/ algorithms, graphs, concepts and strategy
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300 trillion (10^14) high quality tokens exist on the internet. 10^17 internet tokens if you include private data. 10^19 tokens have been spoken by all humans since the dawn of time. Google generates 10^15 tokens a month. It generates high quality internet every week. At…
crazy that it just takes 27 hours to learn machine learning from the Andrew NG’s Stanford course that students pay tens of thousands of dollars for. thank you internet.
7+ main precision formats used in AI ▪️ FP32 ▪️ FP16 ▪️ BF16 ▪️ FP8 (E4M3 / E5M2) ▪️ FP4 ▪️ INT8/INT4 ▪️ 2-bit (ternary/binary quantization) General trend: higher precision for training, lower precision for inference. Save the list and learn more about these formats here:…
Who Invented Transformer Neural Networks (the T in ChatGPT)? Timeline of Transformer evolution people.idsia.ch/~juergen/who-i… ★ 1991. Original tech report on what's now called the unnormalized linear Transformer (ULTRA)[FWP0][ULTRA]. KEY/VALUE was called FROM/TO. ULTRA uses outer…
MCKINSEY JUST DROPPED THEIR 2025 AI REPORT. HERE’S THE TLDR: 1/ 90% of companies “use AI,” but 67% are still stuck in pilot mode. Corporate AI theater is alive and well lol. 2/ 62% of orgs are experimenting with AI agents, 23% are scaling AI agents. Most are in tech and…
Here's a common misconception about RAG! Most people think RAG works like this: index a document → retrieve that same document. But indexing ≠ retrieval. What you index doesn't have to be what you feed the LLM. Once you understand this, you can build RAG systems that…
McKinsey just dropped its 2025 AI report. 1. Everyone’s testing, few are scaling. 88% of companies now use AI somewhere. Only 33% have scaled it beyond pilots. 2. The profit gap is huge. Just 6% see real EBIT impact. Most are still stuck in “experiments,” not execution. 3. The…
Level up your AI skills with the 5-day generative AI intensive course by Google Cloud and @kaggle. Join over 1 million learners for this no-cost online course starting today! Sign up now to build production-ready agents and secure your capstone prize → goo.gle/4nGv1qJ
This is an important one, I think. AI progress and recommendations: openai.com/index/ai-progr…
Kaum jemand hat bemerkt, dass die positive Gewinnentwicklung von Amazon im 3. Quartal ausschließlich auf einer Zuschreibung in Höhe von vielen Milliarden Dollar auf den Wert einer KI-Firma beruht, die selbst Milliardenverluste einfährt. Der um diesen Sondereffekt bereinigte…
💰🔧 TokenCrush for LangGraph (Made by the LangChain Community) TokenCrush extension reduces LangGraph application costs by up to 90% while preserving meaning. Integrates with LangGraph to optimize RAG pipelines and production AI apps with minimal code changes. Discover how to…
RAG - Retrieval Augmented Generation Here’s how it works in practice Knowledge Sources → PDFs, Docs, Databases Embeddings → your data broken into chunks & vectorized Vector Database → stores everything for quick retrieval Retrieval → finds the most relevant context (top-k…
Parse lets you build APIs for any website— 100x cheaper and faster than browser automation. Parse makes deterministic APIs that use direct network requests that cost fractions of a cent and return in milliseconds. ycombinator.com/launches/OnX-p… Congrats on the launch, @alexscraping!
5 Agentic AI design patterns, explained visually! Agentic behaviors allow LLMs to refine their output by incorporating self-evaluation, planning, and collaboration! The visual depicts the 5 most popular design patterns for building AI Agents. 1️⃣ Reflection pattern The AI…
How Agentic AI Works 🤖📘 Ever wondered how AI Agents actually think and act? Here’s a simple breakdown of how Agentic AI works — from Input Sources → AI Processing → Action Layer → Output ⚡ Also I’ve compiled 1000+ Materials — including AI Agents, LLMs, RAG, Prompt…
🧮 Google just published DS-STAR A data science agent that can automate a range of tasks — from statistical analysis to visualization and data wrangling. Reads messy files, plans steps, writes and runs code, and verifies itself, reaching state of the art on tough multi file…
9 MCP, Agents, and RAG projects for AI engineers:
This is the best AI roadmap I’ve seen. It saved me hours. Save this for later.
The most effective AI Agents are built on these core ideas. It's what powers Claude Code. It's referred to as the Claude Agent SDK Loop, which is an agent framework to build all kinds of AI agents. (bookmark it) The loop involves three steps: Gathering Context: Use subagents…
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