LLM Engineering

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LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🖥️Self-hosted apps  Content type: Blog  Content type: Discussion
tildalice.io·

Parameter-Efficient Fine-Tuning with Learnable Rank

 🔧MLOps  Content type: Academic
arxiv.org·

brunokeymolen/lora: LoRa (Long Range) communication related projects

 🔬Tech & Science  Content type: Code
github.com··Hacker News

If Algorithms Are Your Arsenal, Parameters Are Your Best Weapon

 Systems Performance  Content type: Blog
medium.com
·

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 👨‍💻AI Coding  Content type: Blog
towardsai.net·

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

 ⚙️AI Infrastructure
zozo123.github.io··Hacker News

Philosophy

 🔧MLOps  Content type: Reference
docs.langchain.com·

AI 101: From Prompt Engineering to Skill Engineering

 👨‍💻AI Coding
turingpost.com·

Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...

 👁️Observability  Content type: Discussion

How to Build an Agentic RAG with RubyLLM and Rails

 👨‍💻AI Coding  Content type: Blog
panasiti.me··Hacker News

Fine-tune FLUX.2 [Klein] with a LoRA under 60 minutes

 🤖AI  Content type: Blog

SecLoRA: Secure Aggregation of Low-Rank Matrix Products via Functional Encryption

 🔐Privacy Tech
eprint.iacr.org·

Meshcore and Haiku: a Match Apparently Made in Italy

 🏛️Technical Architecture
hackaday.com·

Fine-tuning vs. RAG vs. Context Engineering vs. Prompt Engineering vs. Distillation:

 👨‍💻AI Coding  Content type: Blog
medium.com
·

Context Engineering Is Eating Prompt Engineering

 👨‍💻AI Coding  Content type: Blog
medium.com
·

Prompt Injection in RAG Agentic Systems

 🛡️AI Security
ulad.net··Hacker News

Agentic AI frameworks compared: LangChain, LangGraph, AutoGen

 👨‍💻AI Coding  Content type: Blog
udacity.com·

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

 ⚙️AI Infrastructure  Content type: News

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

 🏛️Technical Architecture

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

 🔧MLOps  Content type: Academic
arxiv.org·

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