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Analyzing ReLUfication Limitations: Enhancing LLM Sparsity via Up Projection
Explore the limitations of existing ReLUfication methods, which only improve sparsity from 40% to 67%. Learn why modifying the up...
I Asked 5 LLMs to Write the Same SQL Query. Here's How Wrong They Got It
ChatGPT is an AI-generated database. It can be used to test and improve the quality of data. The author tested 10 real queries and...
Why AI Agents Work in Demos But Fail in Production
At 90% accuracy per step, a 20-step agent succeeds 12% of the time. Your demo didn't show you that. Production will.
Build a Two-Pane Market Brief MVP in Streamlit
Streamlit is a tool-backed market brief copilot app. It uses EODHD tools and a single `run_brief()` function. It has a two-pane la...
Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training
When we want to speed up training, the first instinct is to measure time and start optimizing the slowest kernel. But raw measurem...
The Best AI Agent Frameworks for 2026 (Ranked by Someone Who's Shipped With All...
LangGraph, CrewAI, AutoGen, Pydantic AI, and 8 more. What works, what doesn't, and when to use each.
Getting High-Quality Output from 7B Models: A Production-Grade Prompting Playboo...
A practical guide to making 7B models behave: constrain outputs, inject missing facts, lock formats, and repair loops.
Choosing an LLM in 2026: The Practical Comparison Table (Specs, Cost, Latency, C...
Compare top LLMs by context, cost, latency and tool support—plus a simple decision checklist to match “model + prompt + scenario”.
Small Language Models are Closing the Gap on Large Models
A fine-tuned 3B model outperformed a 70B baseline in production. This isn't an edge case—it's a pattern. Phi-4 beats GPT-4o on mat...
What I've learned building an agent for Renovate config (as a cautious skeptic o...
For those who aren't aware, Mend Renovate (aka Renovate CLI aka Renovate) is an Open Source project for automating dependency upda...
The NVIDIA Nemotron Stack For Production Agents
NVIDIA just dropped a production-ready stack where speech, retrieval, and safety models were actually designed to compose.
