2. AI Agents for Begineers Beginner friendly course on AI Agents This Free 11-lesson course will teach you everything you need to get started with building AI agents. Check this out:
@sumanth_077
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Hands on Large Language Models: Complete Notebook Guide
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1. Hands on Large Language Models This repository contains notebook examples that cover everything from the introduction to language models to fine-tuning them. Check this out:
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10 Essential GitHub Repositories for AI Engineers
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10 GitHub Repositories you should definitely check as an AI Engineer:
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OpenHands: Open Source AI Developer Agent for Faster Coding
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AI developer agent that helps you code, debug, and ship faster! OpenHands is an AI Agent that can modify code, run commands, browse the web, read documentation, call APIs, and even copy code snippets from StackOverflow. 100% Open Source
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Docling: Open-Source Document and Audio Parsing Tool
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Transform any document into LLM-ready data! Docling is an open-source Python package that makes document parsing effortless. Docling also supports audio. Just drop in a .mp3 or .wav file and get clean, structured text using Automatic Speech Recognition. 100% Open Source
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Firecrawl open source GitHub repository by Mendable AI
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Github Repo: https://
github.com/mendableai/fir
ecrawl
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Firecrawl: Open-Source Web Scraping Framework Converts URLs to Markdown
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Web scraping will never be the same! Firecrawl is an open-source framework that takes a URL, crawls it, and converts it into a clean markdown or structured format. 100% Open Source
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Music Recommendation Systems Benefits and Applications
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Indeed, great for music recommendation systems!
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Yandex Releases Yambda 5B: Largest Open-Source Multi-Modal Dataset
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Incredible!!! An open-source, large-scale multi-modal dataset for ranking and retrieval. Yandex just released Yambda 5B, the largest open-source dataset with 4.79B anonymized user-item interactions. This is a major milestone for recommender system research.
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4.79B User-Music Interactions Dataset with Temporal Ordering
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Key Features: – 4.79B user-music interactions (listens, likes, dislikes, unlikes, undislikes)
– Timestamps with global temporal ordering
– Organic and recommendation-driven interactions Read the Paper: https://
arxiv.org/abs/2505.22238 Check out the dataset: https://
bit.ly/4k6bLAR