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LLM Tutorials

Keep up to date with the latest news, techniques, and resources for Large Language Models. Our tutorials are full of practical walk throughs & use cases you can use to upskill.
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GPT-Realtime-2 API Tutorial: Three Tests, Three Verdicts

Learn how OpenAI's gpt-realtime-2, gpt-realtime-translate, and gpt-realtime-whisper differ, then test each one with working Python WebSocket code.
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Khalid Abdelaty

May 12, 2026

How to Run DeepSeek V4 Flash Locally

Learn how to run the full DeepSeek V4 Flash model on a single GPU using a modified llama.cpp build and a compatible GGUF file in this hands-on tutorial.
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Abid Ali Awan

May 5, 2026

DeepSeek V4 API Tutorial: Building a Thinking Mode Arena

Learn how DeepSeek V4's three reasoning modes work, and build a Streamlit comparison app that shows when each mode actually wins on quality, speed, and cost.
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Aashi Dutt

April 30, 2026

Fine-Tuning NVIDIA Nemotron-3-Nano On Psychology Q&A Data

Learn to fine-tune NVIDIA Nemotron-3-Nano-4B on a psychology Q&A dataset using an RTX 3090 GPU using LoRA and TRL after downloading the model from Hugging Face.
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Abid Ali Awan

April 29, 2026

Qwen 3.6 Plus API Tutorial: Building an Invoice Processing Pipeline in Python

Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.
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Bex Tuychiev

April 27, 2026

Fine-Tuning Qwen3.6 On a Medical Q&A Dataset

Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.
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Abid Ali Awan

April 21, 2026

LLM As a Judge: A Complete Guide With Hands-On RAG Example

Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.
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Josep Ferrer

April 20, 2026

Claude Opus 4.7 API Tutorial: Building a Chart Digitizer

Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.
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François Aubry

April 20, 2026

Running MiniMax M2.7 Locally for Agentic Coding

In this guide, we will rent an H200 GPU and install llama.cpp, download MiniMax M2.7 GGUF, run it locally, test it in the WebUI, and connect it to OpenCode.
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Abid Ali Awan

April 17, 2026

Ollama Python Library: Getting Started with LLMs Locally

Master the Ollama Python SDK for local LLM development. Learn to generate text, handle multi-turn chats, use vision models, and build AI apps securely.
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Austin Chia

April 17, 2026

Bonsai AI Tutorial: Run a 1-Bit LLM Locally On an Old Laptop

Learn how to run PrismML's fast and efficient 1-bit Bonsai model locally on Windows, from download and setup to WebUI testing, reaching 88.6 tokens per second.
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Abid Ali Awan

April 13, 2026