A powerful framework that provides a unified interface for multiple LLM providers, allowing developers to seamlessly switch between different AI models while maintaining consistent API interactions.
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A modern chat application for interacting with multiple AI models from different providers. Available as both a web app and desktop application.
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A minimal agentic LLM web app built with Next.js 15 (App Router), featuring a chat interface and a visual workflow editor for AI agent flows.
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This is a template for building a modern company website using Next.js (App Router), TypeScript, Tailwind CSS, and shadcn/ui. It includes features for managing content like blogs and news articles via Markdown files.
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SimpleLM is a minimal, CPU-friendly language model based on a Transformer decoder architecture. It supports both supervised fine-tuning (SFT) with prompt/response pairs and PPO-based RL training with a neural reward model (RLHF-style) for human/AI feedback (RLHF) using PPO. The project is designed for educational purposes and easy experimentation on small hardware.
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Instructor: Joseph Konan Team: Jingsi Chen,Junxiao Guo, Shuhao Ren ,Luo Yu (ordered by last name initials)
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A comprehensive CLI-based agent for web browsing, automation, and deep research with LLM integration.
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