Add Generative AI Vision Example Guide

source/amebapro2/Example_Guides/Neural Network/Generative AI Vision.rst

@@ -0,0 +1,90 @@
+Generative AI Vision
+====================
+
+.. contents::
+  :local:
+  :depth: 2
+
+Materials
+---------
+
+- `AMB82-mini <https://www.amebaiot.com/en/where-to-buy-link/#buy_amb82_mini>`_ x 1
+
+Example 
+-------
+
+In this example, we will be using Ameba Pro2 development board to capture and send image to various LLM servers for visual analysis and understanding.
+
+Open Generative AI Vision example in "File" -> "Examples" -> "AmebaNN" -> "GenAIVision".
+
+|image01|
+
+In the highlighted code snippet, fill in the "wifi_ssid" with your WiFi network SSID and "wifi_pass" with the network password.
+
+|image02|
+
+In this documentation, we will be using Gemini API for demeonstration. 
+
+Create your own Gemini API key in `Google AI Studio <https://aistudio.google.com/apikey>`_.
+
+Copy your API key and paste in ``Gemini_key`` section.
+
+|image03|
+
+Uncomment the function of gemini vision prompt for execution.
+
+|image04|
+
+Compile and upload the firmware to AMB82-mini. Open a serial monitor to view the response.
+
+You may also modify the ``prompt_msg`` to suit your application needs.
+
+Online LLM Models
+-----------------
+Various online servers and LLM models featured in the SDK:
+
++--------------------------------------+---------------------------------------+-----------------------------+---------------------------------+
+| **Server**                           | **Model**                             | **Rate Limit**              | **Pricing**                     |
++======================================+=======================================+=============================+=================================+
+| openAI platform                      | gpt-4o-mini                           | 500 RPM                     | Chargeable (Tier 1)             |
++--------------------------------------+---------------------------------------+-----------------------------+---------------------------------+
+| Google AI Studio                     | gemini-1.5-flash                      | 15 RPM                      | Free of charge                  |
++--------------------------------------+---------------------------------------+-----------------------------+---------------------------------+
+| GroqCloud                            | llama-3.2-90b-vision-preview          | 15 RPM                      | Free of charge                  |
++--------------------------------------+---------------------------------------+-----------------------------+---------------------------------+
+
+**Rate Limit References**
+
+openAI: https://platform.openai.com/docs/guides/rate-limits?context=tier-one#usage-tiers
+
+Google AI Studio: https://ai.google.dev/pricing#1_5flash
+
+GroqCloud: https://console.groq.com/settings/limits
+
+Resources
+---------
+
+| openAI platform - openAI vision
+| https://platform.openai.com/docs/guides/vision
+
+| Google AI Studio - Gemini vision
+| https://ai.google.dev/gemini-api/docs/vision
+
+| GroqCloud - Llama vision
+| https://console.groq.com/docs/overview
+
+.. |image01| image:: ../../../_static/amebapro2/Example_Guides/Neural_Network/Neural_Network_-_Generative_AI_Vision/image01.png
+   :width:  874 px
+   :height:  865 px
+
+.. |image02| image:: ../../../_static/amebapro2/Example_Guides/Neural_Network/Neural_Network_-_Generative_AI_Vision/image02.png
+   :width:  765 px
+   :height:  538 px
+
+.. |image03| image:: ../../../_static/amebapro2/Example_Guides/Neural_Network/Neural_Network_-_Generative_AI_Vision/image03.png
+   :width:  644 px
+   :height:  318 px
+
+.. |image04| image:: ../../../_static/amebapro2/Example_Guides/Neural_Network/Neural_Network_-_Generative_AI_Vision/image04.png
+   :width:  589 px
+   :height:  503 px

source/amebapro2/Example_Guides/Neural Network/index.rst

@@ -9,6 +9,7 @@ Neural Network
    Door Unlock with Face Recognition
    Face Detection
    Face Recognition
+   Generative AI Vision
    Image Classification
    Object Detection
    UVCD Object Detection