Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 2,112 Bytes
38b4eff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | # 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." |