uses reflected, non-emitted light (i.e., E-Ink rather than LED or OLED) to display content
ideally consists of multiple pages that can be read on both sides and are bound together using special binding techniques,
is equipped with both internal and external content encoding on the front and back covers and can include an additional layer of protection (e.g., a protective cover),
has a standardized format (e.g., A5) that allows it to be easily carried in existing wearables (e.g., school bags) and stored or archived in existing furniture (e.g., bookshelves)
Linux
open-source voice identification (Speechbrain), speech-to-text (DeepSpeech 2, whisper), speech-to-text (XTTS2, bark) and text-to-image (Stable Diffusion)
small language models (Llama-3-SauerkrautLM-8b-Instruct, udkai/Turdus, Ministral...)
ChromaDB vector database (embeddings through NV-Embed-v1)
on-demand loading of LoRA adapter through LoRAx (loraexchange.ai)
Kastalia Knowledge Management System for lesson & learning graph management
https://github.com/hromi/personal_Primer https://github.com/hromi/primer-backend
form-factor: A5 size
computational core: NVIDIA Orin
main input modalities: microphone, gesture sensors,
main output modalities: speakers, electrophoretic (e-ink) display(s)
other peripherals attachable through standard USB-C and 40-pin GPIO connectors
NVMe disk, WLAN cards (both fully operational)
power-related: solar-panel positive
our current main challenge: thermal regulation