LLMs

large language models, transformers, prompt engineering, RAG

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How LLMs work | Practical Leaders

 🤖Multi-Agent AI

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 BEAM  Content type: Academic
biorxiv.org·

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite

 BEAM  Content type: Academic
arxiv.org·

Why Your LLM Gets Dumber With More Context

 🤖Multi-Agent AI
siliconopera.com·

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🤖Multi-Agent AI  Content type: Blog
blogs.sas.com·

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 BEAM  Content type: Code
github.com··Hacker News, r/LLM

New comment by alroma90 in "Ask HN: Who wants to be hired? (June 2026)"

 🗄️Databases  Content type: Discussion

Google open-sources speedy DiffusionGemma text diffusion model

 BEAM
siliconangle.com·

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 BEAM  Content type: News

Two old GPUs I salvaged are doing more AI work than a brand new $2000 card, and I won't be upgrading anytime soon

 BEAM
xda-developers.com·

Build RAG-powered AI solutions at the edge with AWS Local Zones and Outposts

 🔐Cybersecurity  Content type: Blog
aws.amazon.com·

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

 🤖Multi-Agent AI  Content type: Blog
towardsai.net·

How to Defend Against Prompt Injection in Production

 🗄️Databases  Content type: Reference
leanpub.com··DEV

Configure input guardrails for an OpenShift AI voice agent

 BEAM
developers.redhat.com·

AI 101: From Prompt Engineering to Skill Engineering

 🤖Multi-Agent AI
turingpost.com·

Markov Chains: The Grandparents of LLMs

 🤖Multi-Agent AI
dmanco.dev··Hacker News

Paper: LLM Translation of Compiler Intermediate Representation

 ⚙️Compilers
compilers.iecc.com·

My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 🗄️Databases  Content type: News  Content type: Blog

Everyone Was Searching for Better AI Prompts. Then One Markdown File Changed Everything

 🤖Multi-Agent AI  Content type: Blog
medium.com
·

high-performance classification API (beats GPT-5.4-mini)

 🔀Concurrency  Content type: Discussion
classer.ai··Hacker News

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