Bagging Vs Boosting Ensemble Methodsd

by Akshat Gupta — Ensemble combines learning from multiple machine learning models to finnaly evaluate and select the best model

Medium·10m ago

Why Your Embeddings Model Upgrade Silently Broke Retrieval

by “The AI Engineer” — The worst retrieval bug I know of throws no error. Latency stays flat. The error rate sits at zero. The index reports healthy, and every…

Medium·1h ago

Same Model, Different Agent

by Nithin Santhanam — What we are learning from testing coding harnesses for our in-house agentic systems

99P Labs·2h ago

Spec-Driven Development — Developer Trust in AI and the Cost of Verification: 2026 Survey, METR…

by Jaroslaw Wasowski — The 2026 survey data fits a simple model: trust grows when checking is cheap. Inside: the verifiability score formula and a mini-spec

Medium·2h ago

Your Model Doesn’t Have to Fit in Your GPU Anymore

by Ali Zahid Raja — A practical guide to hosting LLMs on your own machine: the memory math, quantization, how I use Odysseus to pick models and the MoE trick…

Medium·3h ago

Idol : The AI Model That Turns Any Picture Into a 3D Object

by Mehul Gupta — A single image to a 3D Gaussian splat using AI

Data Science in Your Pocket·3h ago

Trust Is the Product: What Data Governance Can Teach Canada’s Emerging AI Governance Teams

by Ogbonnaya Nzie Ezichi — A practitioner’s reflection on why “data is guilty until proven innocent” and what that means once the thing you are governing is a model…

Medium·1h ago

Your Model Passed Safety Evals. Then You Quantized the KV Cache.

by Vedant Pandhare — You compressed your way into a vulnerability nobody was checking for.15 min read · LLM Infrastructure · AI Safety · Production MLHere is a scenario that should make any ML engineer uncomfortable.You...

Towards AI·2h ago

Palette: teaching a small model to build decks in your design language

Hugging Face·2h ago

Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?

Hugging Face·3h ago

A 125B model at 50+ tok/s on a 12 GB gaming card: what I changed in Strata

by sumitssodhi88 — I run Qwen3.8-Flash-Next, a 125-billion-parameter mixture-of-experts model, on one RTX 3060 with 12 GB of video memory and 30 GB of RAM…

Medium·4h ago

The End of the Language Model: The Day AI Learned to See

by Cordero Core — How We Got Here: Episode 21 of ~26. We are walking the AI timeline one contribution at a time.

Medium·1h ago

Meituan Unveils LongCat-2.5: What a 1.6T Agent Model Built on Chinese Chips Means for Developers

by dk.websolutions — A Food Delivery Giant Ships a Long-Horizon Coding Model at $0.30 Per Million Input Tokens, With Open Weights Still to Come

Medium·1h ago

Weight-Space Programming: A New Paradigm or LLM-Guided Model Debugging?

by Vishnu Mohan M S — GPT-6 Astra improved Qwen3.5–0.8B’s math accuracy by editing just 0.016%

Medium·2h ago

Vastu Is About Wisdom, Not Fear: Ancient Indian Architecture and the Future of Judgement

by Safder Machilakath — As machines learn to draw, model and calculate almost anything we ask of them, the hard part of building is shifting from making to…

Medium·3h ago

RAG, Tools, MCP and Agents: How AI Connects to Real Work

by Maks Khomutskyi — Local Context, Part 3 — a practical guide to supplying facts, calling tools and changing a model.

Medium·3h ago

llama.cpp AI LLM Engine — How It Works

by Roman Kryvolapov — How inference works inside llama.cpp: loading a GGUF model, tokenization, building the compute graph, the KV-cache, and token sampling.

Medium·4h ago