Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
OPEN SOURCE
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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ScrapeCraft: AI-Powered Web Scraping with LangGraph
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ScrapeCraft: AI Web Scraping Editor Uses AI and LangGraph to power intelligent web scraping with automated code generation and real-time data streaming. Simplifies complex scraping workflows through bulk URL support. Check it out! https://
github.com/ScrapeGraphAI/
scrapecraft
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Apache Spark 4.0 transformWithState API for Operational Monitoring
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Learn to build operational monitoring pipelines using Apache Spark™ 4.0's new transformWithState API This blog walks through how to use the new transformWithState API to:
-Track, alert on, and analyze sensor data with ValueState, ListState, and MapState
-Set up time-based state -
AI IPO Analyst: Automated Indian IPO Document Analysis Tool
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AI IPO Analyst Automates Indian IPO document analysis by transforming complex financial documents into structured reports with real-time market data, financial ratios, and automated processing. Check out this powerful financial analysis tool https://
github.com/AKMessi/AI-IPO
-Analyst
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Hugging Face releases AI sheets for dataset building without code
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Hugging Face just dropped AI sheets to build and enrich datasets without writing a single line of code.
— Shubham Saboo (@Saboo_Shubham_) 16 août 2025
Works with Qwen, Kimi, Llama 3 and other opensource LLMs.
100% Free, local and Opensource.pic.twitter.com/onvrgg5hqRHugging Face just dropped AI sheets to build and enrich datasets without writing a single line of code. Works with Qwen, Kimi, Llama 3 and other opensource LLMs. 100% Free, local and Opensource.
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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: