#instruction-tuned LLM

17 related articles

Jul 29, 2026·3 min

Local LLM Agent Lagging? Lowering num_gpu Is the Key

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

Jul 28, 2026·3 min

Preparation Guide for NLP Research Scientist Internships: Key Focus Areas and Common Pitfalls

A comprehensive guide to preparing for NLP Research Scientist Intern roles, covering evaluation criteria, foundational knowledge, paper reading strategies, hands-on skills, and common pitfalls.

Jul 20, 2026·3 min

lx: 72 Local CLI Tools That Bring Ollama Models Into Your Terminal

lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.

Jul 16, 2026·2 min

Local AI Coding in Android Studio: Running Gemma Models Offline

Google demoed running Gemma local LLMs directly in Android Studio at I/O Connect, enabling offline AI coding with full privacy — no code leaves your machine.

Jul 16, 2026·2 min

How Large a Local LLM Can You Run on a Laptop with 8GB VRAM? A Configuration Guide

Complete guide to running local LLMs on a laptop with 8GB VRAM: real usable memory, quantization estimation, Q4 7B/8B model recommendations, Ollama setup, GPU offloading, and agent development tips.

Jul 15, 2026·4 min

Six Layers of Defense: Engineering Reliable Structured Output from LLMs

LLM JSON output unstable in your Agent? This guide covers 6 engineering layers: constrained decoding, validation retry, fake tool calls, Logit Masking, Schema contracts, and anti-pattern locking.

Structured Information Extraction with…

Jul 14, 2026·3 min

Structured Information Extraction with Local 7B Quantized Models: Root Cause Analysis and Engineering Optimization

Using Qwen 2.5 7B quantized locally to extract 60+ fields from insurance/financial contracts? Learn why it struggles and how task splitting, RAG, GBNF, and smarter chunking can fix it.

Jul 11, 2026·5 min

Practical Guide to Deploying Invoice Analysis AI: Model Selection and Architecture Pitfalls

How can enterprises process 50+ invoice formats with AI? This article analyzes visual document understanding approaches—multimodal LLMs, OCR+LLM, and hybrid architecture—with key decision advice for non-technical AI leads.

Jul 9, 2026·7 min

Andrew Ng's Prompt Engineering Course Essentials: Core Methodology Every Developer Must Learn

An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.

The Complete Guide to Local LLM Deploy…

Jul 7, 2026·2 min

The Complete Guide to Local LLM Deployment: Tools, Hardware, and Model Selection

A complete guide to locally deploying open-source LLMs: covering VRAM requirements, quantization, tools like Ollama and LM Studio, and model selection tips for Llama, Qwen, and more.

Jul 6, 2026·5 min

Building RAG from Scratch: Creating a Domain Expert System with Local Small Models

Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.

Jul 6, 2026·3 min

Andrew Ng's Prompt Engineering Course: How Developers Call LLMs via API

A systematic overview of Andrew Ng's ChatGPT Prompt Engineering for Developers course: base vs. instruction-tuned models, API best practices, and two core prompting principles.

Jun 13, 2026·3 min

Key Takeaways from Andrew Ng × OpenAI's Prompt Engineering Course: Two Core Principles Explained

Deep dive into Andrew Ng & OpenAI's ChatGPT Prompt Engineering course: Base LLM vs instruction-tuned models, two core prompting principles, and API-first development thinking for developers.

Jun 6, 2026·2 min

KeyType: A Free, Open-Source System-Level AI Autocomplete Tool for macOS

KeyType is a free, MIT-licensed macOS tool for system-level AI text completion. It runs local LLMs, supports custom models, and keeps all data on your device.

Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference

Tutorials

May 27, 2026·3 min

Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference

Decode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.

DeepSeek Local Deployment Tutorial: One-Click Install & Run with Ollama

Tutorials

May 21, 2026·2 min

DeepSeek Local Deployment Tutorial: One-Click Install & Run with Ollama

Learn how to deploy DeepSeek R1 locally using Ollama with this step-by-step guide covering installation, model selection, hardware requirements, and advanced features like GUI and knowledge bases.

Deep Dive into MYLLM: One Developer's Journey Through the Full LLM Tech Stack with a 0.5B Model

Tutorials

May 4, 2026·3 min

Deep Dive into MYLLM: One Developer's Journey Through the Full LLM Tech Stack with a 0.5B Model

Deep dive into MYLLM, an open-source project using Qwen2.5-0.5B to cover full-stack LLM techniques including training, LoRA, SFT, distillation, RLHF, multimodal, and Agent.