Inference & Cost
Can You Run an LLM on 8GB, 12GB or 16GB VRAM?
Learn how VRAM limits LLM inference: model weights, KV-cache, quantization, and what fits in 8GB, 12GB, or 16GB GPUs for local use.
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Guides
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Inference & Cost
Best GPU for Running LLMs Locally in 2026 (By Budget)
Compare the best GPUs for local LLM inference in 2026 across every budget, from 8GB to 48GB VRAM, with VRAM, bandwidth, and KV-cache guidance.
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Inference & Cost
How Much VRAM for Llama 3 70B, 8B and Popular Models
Estimate VRAM needs for Llama 3 70B, 8B and other models. Learn how weights, KV-cache, quantization, and context length affect GPU memory.
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LLM Internals
Best Open-Source LLMs in 2026: A Practical Guide
Explore the best open-source LLMs in 2026, compare architectures, licensing, and inference costs, and learn how each fits the ML lifecycle.
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Inference & Cost
RAG Chunking Strategies and Embedding Cost
Learn how chunking choices in RAG pipelines affect retrieval quality and embedding costs, and how to balance context, overlap, and token budgets.
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Training & Fine-tuning
LoRA vs QLoRA: Efficient Fine-Tuning Explained
Compare LoRA and QLoRA for parameter-efficient fine-tuning: how each works, memory trade-offs, and when to choose one over the other.
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Inference & Cost
Understanding AI Agent Cost Across the LLM Lifecycle
Learn where AI agent costs come from, from tokens and embeddings to KV-cache and inference, and how to estimate and reduce them.
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LLM Internals
Context Engineering vs Prompt Engineering Explained
Learn how context engineering differs from prompt engineering, why it matters for LLM apps, and how to structure context across the model lifecycle.
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LLM Internals
Counting Chat Tokens with Multiple Messages
Learn how chat formatting, speaker labels, and per-message overhead add tokens beyond raw text, with a worked manual counting method and estimation checklist.
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Fundamentals
Prompt Engineering Guide: Zero-Shot, Few-Shot, Chain-of-Thought
Learn how zero-shot, few-shot and chain-of-thought prompting work, when to use each, and how prompt design changes model accuracy and cost.
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Fundamentals
Claude AI Explained: Features, Pricing and Models
A practical guide to Claude AI: its models, features, pricing tiers and how it compares to ChatGPT, mapped to the LLM lifecycle you learn at MasterAInow.
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Inference & Cost
Estimate Token Count per Request for LLM API Budgeting
Walk through estimating prompt and completion tokens from character counts, then turn them into monthly LLM API costs with simple arithmetic and sample numbers.
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