Link to the Colab Notebook here: https://
colab.research.google.com/github/unsloth
ai/notebooks/blob/main/nb/Meta_Synthetic_Data_Llama3_2_(3B).ipynb
… Synthetic Data kit from Meta:
@sumanth_077
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Meta’s Synthetic Data Kit for Llama 3.2 on Google Colab
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Weekly AI Engineering Tutorials: ML, LLMs, and AI Agents
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If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free):
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GitDiagram: Transform GitHub Repos Into Interactive Visual Diagrams
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Turn any GitHub repository into interactive diagrams!
— Sumanth (@Sumanth_077) 11 mai 2025
Introducing GitDiagram, Simply replace "hub" with "diagram" in a GitHub URL and instantly visualize the code base with interactive diagrams. pic.twitter.com/Gta8KUXBZKTurn any GitHub repository into interactive diagrams! Introducing GitDiagram, Simply replace "hub" with "diagram" in a GitHub URL and instantly visualize the code base with interactive diagrams.
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Subscribe to Weekly ML, LLMs, and AI Agents Tutorials
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If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): http://
aiengineering.beehiiv.com Github Repo: -
Unsloth AI: Fine-tune LLMs 2x Faster with 80% Less VRAM
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Fine-tune Qwen3, LLaMA 4, and Gemma 2x faster with 80% less VRAM! Unsloth AI is an open-source Python framework that accelerates and simplifies the fine-tuning of LLMs. 100% Open Source
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Subscribe to AI Engineering Weekly Tutorials on ML and LLMs
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If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): http://
aiengineering.beehiiv.com Github Repo to Docling: -
Transform Documents into LLM Ready Data with Python
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Transform any document into LLM ready data in just a few lines of python code! Supports PDF, DOCX, PPTX, XLSX, Images, HTML, AsciiDoc, Markdown and more. Compatible with macOS, Linux and Windows environments. Both x86_64 and arm64 architectures. 100% Open Source
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Stanford CME 295 Transformers and LLMs Cheatsheets
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Link to the cheatsheets: https://
github.com/afshinea/stanf
ord-cme-295-transformers-large-language-models
… If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): -
Stanford Releases Free LLM and Transformers Cheatsheets
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Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge 100% Free and Open Source -
LLMs Long Context Window Leverage Discussion
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This one particularly leverages the long context window of llms!