New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and taught by @realSharonZhou.
You'll see how transformers generate text one token at a time, how the model decides which earlier words matter most when predicting the next one, and how techniques like quantization speed up inference on GPUs. This is not a video-only course; interactive visualizations throughout let you play with these concepts and build intuition that sticks.
Skills you'll gain:
- Understand why LLMs hallucinate, and RAG and chain-of-thought shape what they generate
- Look inside the model to see how attention and layers combine to predict the next token
- Diagnose inference bottlenecks and learn the techniques that speed up transformers on GPUs
Join and understand what's really happening inside your LLMs: https://t.co/oS6ekeHsIw
Over the past few weeks, I’ve been publishing a growing series of Spring AI Recipes covering agents, MCP, A2A, memory, workflows, tools, and more.
There’s now a central place to find all of the recipes in one spot: https://t.co/VYdJ96wtwe
#SpringAI#Java#AgenticAI#MCP#LLM
I put a lot of heart into my technical writing, I hope it's useful to you all.
📌 Here's a pinned thread of everything I've written.
(much of this will be posted on the Claude blog soon as well)
I created my Claude Code template repo for the Spring Boot app with instructions, skills, and subagents.💡
It is desired to create an app that connects to the DB, is deployed on Kubernetes, and runs tests with Testcontainers, and some others 👉https://t.co/7dLMj8KHGB
this is a useful repo if you’re starting with Claude Code or Codex. it has a list of:
— essential documentations
— best practices and workflows
— videos you might learn from
https://t.co/lzj9fTRa9S
Running OpenClaw locally? Do it safely.
This walkthrough shows how to run it inside Docker Sandboxes with Docker Model Runner:
- Isolated microVM
- No exposed API keys
- Controlled network access
- Fully private, local AI setup
Secure agent workflows in ~2 commands.
Read → https://t.co/RZh2qp7eSi