🔎 RAG - autocole · Scour

Show HN: Nano-RAG – Agentic multi-hog retrieval without graph database 📊Vector Databases

news.ycombinator.com·1d·Hacker News

How LLM Inference Works ⚙️Finetuning LLMs faster with less memory

arpitbhayani.me·6d·Hacker News

Causal Video Models Are Data-Efficient Robot Policy Learners 🔄AI Pipeline design and techniques

rhoda.ai·1d·Hacker News

Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention ⚙️Finetuning LLMs faster with less memory

magazine.sebastianraschka.com·4d·Hacker News, Hacker News, Hacker News, r/LocalLLaMA

LLM Tracing with MLflow AI Gateway 🔵LLM frameworks and AI libraries for TypeScript

karnwong.me·2d·Hacker News

Show HN: Agentic simulator for marketing email A/B testing 🔄AI Pipeline design and techniques

inbox-wars.com·1d·Hacker News

receipts for AI context, not another memory store ⚙️Finetuning LLMs faster with less memory

ctxvault.github.io·4d·Hacker News

AI-Mediated Communication Can Steer Collective Opinion 🔄AI Pipeline design and techniques

arxiv.org·2d·Hacker News

Avocado Studio – open-source AI content editor for Next.js sites 🤖Coding Automation

docs.avocadostudio.dev·6d·Hacker News

The Best Open Source and Open-Weight LLM Models to Run Locally in 2026 🦙Simple finetuning LLMs

huggingface.co·1d

Why are we getting worse at software engineering? 🤖Coding Automation

bitlog.com·1d·Hacker News

Tau-knowledge: benchmarking agents on real-world knowledge 🔄AI Pipeline design and techniques

sierra.ai·6d·Hacker News

On the Unreasonable Effectiveness of Property-Based Testing for Validating Formal Specifications 🔵LLM frameworks and AI libraries for TypeScript

proofsandintuitions.net·2d·Lobsters, Hacker News

The Four Horsemen of the LLM Apocalypse 🔵LLM frameworks and AI libraries for TypeScript

anarc.at·4d·Hacker News

Agentically optimizing LLM prompt cache TTLs for fun and profit 🔥Svelte

blog.firetiger.com·1d·Hacker News

Agent Simple Mail Transfer Protocol 🤖Coding Automation

asmtp.net·1d·Hacker News

HWE Bench: A new unbounded Benchmark for LLMs (GPT 5.5 is on top) ⚙️Finetuning LLMs faster with less memory

hwebench.com·4d·Hacker News

brief-hq/dcbench: Benchmark test repo: Next.js project with intentional product-context gotchas for AI agent evaluation 🤖Coding Automation

github.com·22h·Hacker News

Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism ⚙️Finetuning LLMs faster with less memory

mlsys.wuklab.io·1d·Hacker News

New Issue Tracker 📚Monorepo Patterns

lightningtrack.io·4d·Hacker News

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