Scrape, crawl and search the web with just a few lines of Python code with the new /v2 endpoint. Below is the code snippet to get started and turn websites into LLM-ready data.
@sumanth_077
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Firecrawl v2 Enables 10x Faster Web Scraping
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Web scraping will never be the same! Firecrawl just released the new v2 endpoint with 10x faster scraping and semantic crawling. Firecrawl lets you input a URL, crawl it, and convert it into clean LLM-ready data.
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Google Releases Gemma-3-270M Lightweight Open Model
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Google just dropped a new light-weight 270M model! Gemma-3-270M is a lightweight, open-weight LLM that's perfect for task-specific fine-tuning with strong instruction-following. This notebook explains how to build Gemma-3-270M from scratch using PyTorch, step by step.
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Axolotl: YAML-based LLM fine-tuning and LoRA optimization framework
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4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows
• Includes kernel optimizations for memory-efficient training GitHub repo: -
DeepSpeed: Distributed Fine-Tuning Framework for Large Language Models
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3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP
• Optimized for multi-GPU and multi-node training with advanced memory management
• Trusted in production environments for scalable LLM training GitHub repo: -
LLaMA Factory: Fine-tune 100+ Models with Simple CLI
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2. LLaMA Factory • Fine-tune over 100 models (LLaMA, Mistral, Gemma, etc.) using a simple CLI or WebUI
• Supports LoRA, QLoRA, full or frozen fine-tuning across 2–8‑bit precision GitHub repo: -
Unsloth AI: Fast LLM Fine-tuning with 70% Less VRAM
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1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM
• Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo: -
Four Open Source Libraries Accelerate LLM Fine-tuning
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Fine-tuning massive LLMs used to be painfully slow, but not anymore! Here are 4 libraries that accelerates fine-tuning of Large Language Models 100% Open Source
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PandasAI: Generative AI Library Adds Natural Language to Pandas
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Python library that adds Generative AI capabilities to Pandas! PandasAI analyzes complex data frames and plot visualizations just by using natural language. 100% Open Source
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Google Releases LangExtract Python Library for Data Extraction
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Google just released a python library for data extraction! LangExtract is a python library that extracts structured information from unstructured text documents with precise source grounding and interactive visualization. 100% Open Source