Large Language Models

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MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry

 🤖Software Engineering with AI  Content type: Academic
arxiv.org·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 🤖Software Engineering with AI  Content type: Blog

Context windows in AI: why every token is a budget decision

 🤖Software Engineering with AI  Content type: Blog
redis.io·

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

 🤖Software Engineering with AI  Content type: Blog
towardsai.net·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🤖Software Engineering with AI  Content type: Blog  Content type: Discussion
tildalice.io·

SLUUG Talk: Demystifying Large Language Models on Linux

 🤖Software Engineering with AI  Content type: Code
github.com··DEV

How to Build a Deterministic RAG Testing Tool — and Use LLM as an Advisor, Not a Judge

 🤖Software Engineering with AI  Content type: Blog
medium.com
·

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

 🤖Software Engineering with AI  Content type: News  Content type: Blog

Massive AI Storage Demand Creates a New Memory Wall

 🧬Computational Neuroscience  Content type: News
eetimes.com·

Apple WWDC On-Device AI Deep Dive - Google Docs

 🤖Software Engineering with AI
gist.is··Hacker News

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🤖Software Engineering with AI  Content type: Blog
blogs.sas.com·

When Is It Actually a RAG Problem?

 🤖Software Engineering with AI

Audio-first, deep-dive RAG Masterclass on YT it's called "Master RAG while you sleep"

 💭Consciousness Studies  Content type: Video

LLM Observability: What To Instrument and How To Act on It

 🤖Software Engineering with AI  Content type: Blog
blog.n8n.io·

How to Build an Agentic RAG with RubyLLM and Rails

 🤖Software Engineering with AI  Content type: Blog
panasiti.me··Hacker News

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

 🧬Computational Neuroscience  Content type: Academic
biorxiv.org·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🧬Computational Neuroscience
aermia.com··Hacker News

RAG Pipeline Explained: From Query to Answer, Step by Step

 🤖Software Engineering with AI  Content type: Blog
medium.com
·

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