Best learning resources for AI
An AI-powered video generation platform by MiniMax that transforms text descriptions or images into short, dynamic AI videos.
Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows on a large number of websites, replacing brittle or unreliable automation solutions.
The most powerful AI software development platform with the industry-leading context engine.
Amazing AI models from the Black Forest.
Claude Quickstarts is a collection of projects by Anthropic to help developers quickly build deployable applications using the Claude API. It includes quickstarts for a customer support agent, financial data analyst, computer use demo, and autonomous coding agent, demonstrating Claude's capabilities in natural language processing, data analysis, computer control, and automated coding.
Cognee is an open-source tool that provides persistent and dynamic AI memory for agents by combining vector search with graph databases, replacing traditional RAG systems with scalable ECL pipelines.
Model Context Protocol (MCP) server that lets language agents drive real browsers through Playwright’s automation APIs.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A free, open-source Python library that offers a unified API for classical machine-learning algorithms, data-pre-processing, model selection and evaluation.
NocoBase is the most extensible AI-powered no-code/low-code platform for building business applications and enterprise solutions.
MiniMind is an open-source GitHub project that enables users to train a 26M-parameter tiny LLM from scratch in just 2 hours with a cost of 3 RMB. It provides native PyTorch implementations for Tokenizer training, pretraining, supervised fine-tuning (SFT), LoRA, DPO, PPO/GRPO reinforcement learning, and MoE architecture with vision multimodal extensions. It includes high-quality open datasets, supports single-GPU training, and is compatible with Transformers, llama.cpp, and other frameworks, ideal for LLM beginners.
Call Center AI is an AI-powered call center solution developed by Microsoft using Azure and OpenAI GPT. It allows sending phone calls from AI agents via API or direct calls to the bot's configured phone number, ideal for insurance, IT support, customer service, and more. Key features include real-time streaming conversations to minimize delays, multi-language and voice tone support, SMS integration, nuanced comprehension with GPT-4o and GPT-4o-mini models, secure handling of sensitive data via RAG best practices, domain-specific understanding, structured claim schemas, automated to-do lists, content filtering, and jailbreak detection. It offers customizable prompts, human fallback, call recording, brand-specific voices, and cloud-native Azure deployment for scalable, low-maintenance automation.
