Build a Large Language Model from scratch, step by step! This repository contains the code for developing, pretraining, and finetuning a GPT-like large language model.
@sumanth_077
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Appreciation for Akshay’s MCP Implementation Across Data Tasks
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This is great, Akshay. Love how you're using MCP to handle data generation, evaluation, and visualization!
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Firecrawl Templates: Scrape Web Data for LLM Projects Easily
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Turn any website into LLM-ready data with just a few clicks!
— Sumanth (@Sumanth_077) 15 mai 2025
Firecrawl just released Templates, a collection of ready-to-use playground setups, code snippets, and full repositories to scrape and structure web data for your projects.
Getting web data just got a lot easier. pic.twitter.com/rdelfEpYhlTurn any website into LLM-ready data with just a few clicks! Firecrawl just released Templates, a collection of ready-to-use playground setups, code snippets, and full repositories to scrape and structure web data for your projects. Getting web data just got a lot easier.
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GitHub MCP Server Connected to Terminal AI Agent for Testing
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I connected the GitHub MCP server to my terminal AI agent, analyzed the code, and generated tests, right inside my terminal!@Warpdotdev just dropped MCP support, and you can now connect external data sources to your terminal's AI agent.
— Sumanth (@Sumanth_077) 14 mai 2025
It’s free and super easy to set up pic.twitter.com/CG2MN9Kxq3I connected the GitHub MCP server to my terminal AI agent, analyzed the code, and generated tests, right inside my terminal! @Warpdotdev just dropped MCP support, and you can now connect external data sources to your terminal's AI agent. It’s free and super easy to set up
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Transform Documents into High-Quality Synthetic Datasets with Llama
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Turn any document into a high-quality synthetic dataset using Llama! Unsloth AI and Meta released a free notebook that transforms your documents into high-quality synthetic datasets, and then finetuning them using Llama. 100% Open Source
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Meta’s Synthetic Data Kit for Llama 3.2 on Google Colab
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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: -
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