better nextcloud

README.md

@@ -1,5 +1,7 @@
 # Raspberry Pi and IoT 101
 
+[![image](https://img.shields.io/badge/YouTube-Channel-red)](https://youtube.com/@JAlcocerTech)
+
 Start your journey with Raspberry Pi and explore its role in IoT, embedded computing, and data analytics, all on one compact board. 
 
 You can also [get started with Linux](https://jalcocert.github.io/Linux/) with a RPi.

Z_OtherProjects/2024-12-31-rpi-llm-local.md

@@ -18,4 +18,35 @@ https://github.com/tensorchord/Awesome-LLMOps?tab=readme-ov-file#llmops
 
 * Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
 
-https://github.com/hegelai/prompttools
+https://github.com/hegelai/prompttools
+
+---
+
+## FAQ
+
+### How to Enhance a Raspberry Pi for AI
+
+* Edge TPU on RPi - Coral Edge TPU (Tensor Processing Unit - an USB acccelerator )
+
+TPU (Tensor Processing Unit):
+
+Focus: TPUs are specifically **designed for running Google's TensorFlow** machine learning framework. They are optimized for high-performance matrix multiplication, a fundamental operation in many deep learning algorithms.
+Architecture: TPUs are custom-designed by Google with a focus on maximizing performance for TensorFlow workloads. They prioritize speed and efficiency for specific tasks within the TensorFlow ecosystem.
+
+> You will hear more and more about NPU - Neural Processing Units
+
+
+While both are designed to **handle AI workloads**, they have distinct differences in their focus, architecture, and availability.
+
+NPUs are designed to mimic the structure and function of the human brain, excelling at tasks that involve large-scale parallel processing.
+
+They are particularly well-suited for **various AI applications**, including:
+
+- 🖼️ Image recognition
+- 💬 Natural language processing
+- 🗣️ Speech recognition
+
+
+NPUs typically utilize a manycore architecture with specialized instructions and data formats optimized for AI algorithms. This allows them to handle complex neural networks efficiently.
+
+NPUs are often integrated into mobile processors from companies like Apple, Huawei, and Samsung. They are also available as standalone chips from some manufacturers.

Z_OtherProjects/DRON.md

@@ -0,0 +1,16 @@
+* Haga un PEQUEÑO dron Arduino con cámara FPV: ¿volará?
+
+https://www.youtube.com/watch?v=Sa6EslOHsI0
+
+* Haga un avión de papel FPV RC que vuele | ESP32
+
+
+https://www.youtube.com/watch?v=hDjBi0ErDdw
+
+* Open Source Motion Capture for Autonomous Drones
+
+https://www.youtube.com/watch?v=0ql20JKrscQ
+https://github.com/jyjblrd/Low-Cost-Mocap
+https://github.com/jyjblrd/Low-Cost-Mocap?tab=MIT-1-ov-file#readme
+> Low cost motion capture system for room scale tracking
+

_posts/2022-09-01-selfhosting-nextcloud.md

@@ -42,7 +42,7 @@ services:
 #    networks: ["nginx_nginx_network"] #optional 
 
   app:
-    image: nextcloud #latest
+    image: nextcloud #latest #27.0.0
     container_name: nextcloud
     restart: always
     ports:
@@ -99,4 +99,41 @@ davs://nextcloud.yourgreatname.duckdns.org/nextcloud/remote.php/dav/files/USERNA
 
 > If your server connection is not HTTPS-secured, use dav:// instead of davs://.
 
-Alternatively - you can [try FileBrowser](https://fossengineer.com/selfhosting-filebrowser-docker/)
+Alternatively - you can [try FileBrowser](https://fossengineer.com/selfhosting-filebrowser-docker/)
+
+### How to use a External Drive with NextCloud
+
+```sh
+lsblk
+lsblk -a
+lsblk -f
+sudo fdisk -l
+
+```
+
+Once you have identify the drive, format it (for example) with NTFS:
+
+```sh
+#sudo mkfs.ntfs /dev/sda1 #make sure it is /dev/sda1 as well for you
+#sudo mkfs.ntfs -Q /dev/sda1 #quick version
+```
+
+```sh
+sudo mkdir /usbdrive
+sudo mount /dev/sda1 /usbdrive
+```
+
+If you `df -h` - you will see the drive mounted.
+
+And you can always copy the data with:
+
+```sh
+#sudo cp -R ./files/* /mnt/mydrive/
+sudo rsync -avh --progress ./files/* /mnt/mydrive/ #with progress
+```
+
+And you can check the full size of the copied folder
+
+```sh
+du -sh ./files
+```