Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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How to use Subject-Emu-5259/NeuralAI with PEFT:
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| # NeuralAI — Social Preview | |
| ## GitHub Bio | |
| Custom AI assistant fine-tuned from SmolLM2-360M-Instruct. QLoRA training, RAG document search, integrated terminal, Neural Uplink agent network. | |
| ## Repository Description | |
| NeuralAI is a production-ready AI assistant with a full-stack web UI, RAG document intelligence, integrated terminal, and Neural Uplink multi-agent routing. Built with SmolLM2-360M-Instruct + QLoRA fine-tuning. | |
| ## Social Tags | |
| **Title:** NeuralAI — Custom LLM with RAG + Terminal + Neural Uplink | |
| **Description:** Production AI assistant with local LLM inference, document RAG (PDF/DOCX/TXT/MD), integrated terminal, and multi-agent Neural Uplink network. 360M parameters, CPU-ready. | |
| **Keywords:** neuralai, llm, fine-tuning, qlora, smollm2, pytorch, transformers, rag, vector-database, chromadb, terminal, agentic-ai, custom-ai, language-model, chat-assistant, local-ai | |
| ## Repository Topics | |
| ```markdown | |
| neuralai llm fine-tuning qlora smollm2 pytorch transformers rag chromadb terminal agentic-ai custom-ai language-model chat-assistant local-ai | |
| ``` | |
| ## Sample Tweet | |
| > Built my own AI assistant from scratch 🤖\ | |
| > Features: RAG docs, integrated terminal, Neural Uplink agents.\ | |
| > Fine-tuned SmolLM2-360M with QLoRA — all running locally on CPU. | |
| > | |
| > #AI #LLM #FineTuning #NeuralAI #Python #RAG | |
| ## Sample LinkedIn Post | |
| > **I just built my own production AI assistant.** | |
| > | |
| > NeuralAI v2.4 is live with: | |
| > | |
| > - Local LLM: SmolLM2-360M-Instruct, fine-tuned with QLoRA | |
| > - RAG: PDF/DOCX/TXT/MD semantic search with ChromaDB | |
| > - Integrated Terminal: Persistent PTY shell with custom AI commands | |
| > - Neural Uplink: Baltimore node with 4 specialized AI agents | |
| > | |
| > 360M params, CPU-ready, runs anywhere. | |
| > | |
| > #MachineLearning #AI #Python #LLM #RAG | |
| ## Thumbnail / Banner Concept | |
| - **Left side:** Neural network + terminal + document icons arranged as connected nodes | |
| - **Right side:** "NeuralAI" in bold, "RAG • Terminal • Neural Uplink" below | |
| - **Accent color:** Electric purple (#7c3aed) / cyan (#22d3ee) on dark background | |
| - **Tagline:** "Your AI. On your hardware. In your browser." |