Yes, they are all mathematically similar. The combined qkv one is interesting as it replaces the 3 separate weight matrices by a single weight matrix multiplication and then splits the result. It's kind of analogous to what the implementation at the end of chapter 3 does with
CODE
-
Prompt Engineering Consulting: Rebuilding Internal Tools with Lovable
By
–
doing some prompt engineering consulting devs are in italy chillin' all weekend re-made their internal tooling with @lovable in 30 minutes unblocked
-
7 Alternative Attention Mechanism Implementations for Chapter 3
By
–
Welcome back, again :). I don't want to ruin your weekend, but based on that chapter, here are 7 more alternative ways to implement the attention mechanism https://
github.com/rasbt/LLMs-fro
m-scratch/blob/main/ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb
…
(It's just for fun, pls don't let it hold you back from Ch 4!) -
MCP Useful Tool But Not Universal Solution
By
–
– argues for MCP
– quote gets taken completely out of context gotta love HN (i think MCP can be useful but not for all use cases, hence the quote taken completely out of context) -
LangGraph Multi-Agent Home Assistant for Household Automation
By
–
Multi-Agent Home Assistant A LangGraph-powered AI system that manages your household through natural language, coordinating specialized agents for scheduling, task management, and home automation. Check out the implementation https://
github.com/benjichat/lang
graph-home-assistant
… -
Build Production-Ready WhatsApp AI Agent with LangGraph
By
–
🤖💬 Build Ava: WhatsApp AI Agent
— LangChain (@LangChain) 8 mars 2025
Create a production-ready AI companion in WhatsApp using LangGraph. This comprehensive course teaches you to build an agent with multi-modal capabilities (text, voice, images) and long-term memory.
🚀 Build your AI companion:… pic.twitter.com/43E3pbFF8eBuild Ava: WhatsApp AI Agent Create a production-ready AI companion in WhatsApp using LangGraph. This comprehensive course teaches you to build an agent with multi-modal capabilities (text, voice, images) and long-term memory. Build your AI companion:
-
Enterprise Java Lock-in: Survey Exposes Unwillingness to Change
By
–
And 100% of those 82% will keep buying from Oracle, anyway. I love meaningless surveys like this (
https://
azul.com/blog/2025-stat
e-of-java-survey-confirms-majority-of-enterprise-apps-are-built-on-java-2/
…) that capture people shaking their fists at The Man™ while refusing to make the tech decisions that would free them from dead-end architectural choices -
LlamaCoder: The Future of Directing Code Over Writing
By
–
While LlamaCoder helps you generate an entire prototype application from prompts. Again, the future of coding might be more about directing than writing code.
-
Together AI Releases Open-Source AI Tools and Specialized Applications
By
–
We wrapped up with open-source AI tools from Together AI. Building specialized capabilities and making them freely available like TurboSeek, BlinkShot, NotesGPT and Llama Coder.
