AI Engineering

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BeamWeaver - LangChain/LangGraph-style agents and workflows for Elixir

 🤖AI Agents
elixirstatus.com·

Intelligent inference scheduling with llm-d on Red Hat AI

 🧠LLMs
developers.redhat.com·

Part 3: Fine-Tuning Gemma 4 on a Mac Mini, and What the Results Taught Me

 🧠LLMs  Content type: Blog
medium.com
·

How to Run an LLM Locally: Ultimate Guide to Local AI 2026

 🧠LLMs  Content type: Blog

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 🧠LLMs

RAG for Agentic AI: Garbage Reasoning In | Garbage Actions Out

 🤖AI Agents  Content type: Blog
medium.com
·

AgentGraph – Graph-Based Context Management

 🤖AI Agents  Content type: News  Content type: Blog

Every AI Coding Harness Is Just a Ralph Loop

 🤖AI Agents  Content type: Blog
medium.com
·

LangChain agents tutorial: build a multi-step workflow in Python

 🤖AI Agents  Content type: Blog
udacity.com·

Making a Vintage LLM from Scratch

 🧠LLMs

vLLM Internalised: The Mechanics of Modern LLM Inference

 🧠LLMs  Content type: Blog
medium.com
·

Prompt Engineering Explained: Why Small Prompt Changes Produce Massive Results

 🧠LLMs  Content type: Blog
medium.com
·

Complete Guide to Chunking in RAG (Retrieval-Augmented Generation)

 🧠LLMs  Content type: Blog
medium.com
·

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🧠LLMs  Content type: News

Production-Grade Multi-Step LLM Orchestration -Moving Beyond Prompt Engineering

 🧠LLMs  Content type: Blog
medium.com
·

How Retrieval-Augmented Generation (RAG) Systems Are Transforming AI Workflows with Speed and…

 🧠LLMs  Content type: Blog
medium.com
·

Release langchain==1.3.8 · langchain-ai/langchain

 🤖AI Agents  Content type: Code
github.com·

Why LLMs (still) lack taste

 🧠LLMs

Part 2: Turning My Writing into a Training Set

 🧠LLMs  Content type: Blog
medium.com
·

12B Gemma 4 QAT Deployment with NVIDIA L4, Cloud Run, MCP, and Antigravity CLI

 🧠LLMs  Content type: Blog
medium.com
·

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