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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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NVIDIA Nemotron 3 Nano Tutorial: Grounded Q&A with Ollama

Learn how to build a citation-grounded Streamlit document Q&A assistant with Nemotron 3 Nano, using lightweight keyword retrieval and either local Ollama runs or Ollama Cloud inference.

Aashi Dutt

January 5, 2026

Google Workspace Studio Tutorial: Build an AI Agent Using Natural Language

Learn how Google Workspace Studio lets you create AI agents to automate workflows in Gmail, Drive, and Sheets with an easy, hands-on beginner tutorial.
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Aryan Irani

December 24, 2025

Runway Gen 4.5: The Best Text-to-Video Model Yet?

Learn the capabilities of Runway Gen 4.5 and find out whether it really is the best text-to-video AI out there.
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François Aubry

December 22, 2025

Docker Model Runner: Run AI Models Locally With Ease

Discover how Docker Model Runner simplifies local LLM execution, enhances privacy, reduces costs, and integrates seamlessly with existing Docker tools.
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Benito Martin

December 14, 2025

Fine-Tuning Ministral 3: A Step-by-Step Guide to Training a Vision-Language Model for X-Ray Classification

Learn how to fine-tune the Ministral 3 vision-language model for X-ray image classification using LoRA, Hugging Face tools, custom prompts, and TRL.
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Abid Ali Awan

December 10, 2025

Claude Opus 4.5 Tutorial: Build a GitHub Wiki Agent

Build a wiki agent with Claude Opus 4.5 and Claude Code to analyze repos, auto-generate multi-file GitHub wiki docs, and publish them to your repository.
Abid Ali Awan's photo

Abid Ali Awan

December 8, 2025

Mistral Large 3 Tutorial: Build a Multimodal Intelligence Evaluation Hub

Learn how to use Mistral Large 3 and Streamlit to turn charts and PDFs into structured tables, insights, and multilingual summaries.
Aashi Dutt's photo

Aashi Dutt

December 8, 2025

Tinker Tutorial: Fine-Tuning LLMs With Thinking Machines Lab

A practical guide to implementing LoRA via Tinker AI to train Qwen3-8B on Chain-of-Thought (CoT) financial data, optimizing for generalization.
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Bex Tuychiev

December 5, 2025

DeepSeek-V3.2-Speciale Tutorial: Build a Data Analyst Agent

Learn how to use DeepSeek V3.2 Speciale and Streamlit to turn any CSV into an interactive analytics assistant.
Aashi Dutt's photo

Aashi Dutt

December 5, 2025

LangSmith Agent Builder Tutorial (No-Code): Build an Email Triage Assistant

Learn how to use LangSmith Agent Builder to create an agent that reads Gmail, drafts replies, and logs actions, all without writing code.
Aashi Dutt's photo

Aashi Dutt

December 4, 2025