Extending battery life in Linux

Extending battery life in Linux:

So, you want to extend your laptop battery life as much as possible.
One way is to avoid 100% charging of the battery.

We can easily configure this in Linux(my default OS) using tlp.

In case of RedHat distributions(Fedora, CentOS, RHEL):
sudo dnf install tlp tlp-rdw

Install tlp package:  (for Debian/Ubuntu distributions)
sudo apt install tlp tlp-rdw)

Enable and start it:
sudo systemctl enable tlp --now

Edit the config:
sudo vi /etc/tlp.conf

Find and set these values (ensure it is uncommented):
START_CHARGE_THRESH_BAT0=75
STOP_CHARGE_THRESH_BAT0=80

(This means charging will stop at 80%, and only resume if it drops below 75%.)

Restart tlp
sudo systemctl restart tlp

Verify the new values:
sudo tlp-stat -b
(This should display updated values).

Now, you can check how the discharge/recharge changes in your laptop battery.

Use Settings -> Power and enable % value for battery to check the values.

Microsoft Gen AI course for beginners

https://microsoft.github.io/generative-ai-for-beginners/#/

https://github.com/microsoft/generative-ai-for-beginners/tree/main?tab=readme-ov-file#%EF%B8%8F-lessons

 

 

 

 

 

 

Google doc's tabs

 

I've just come across this new feature from google docs's tabs. 
This is something similar to tabs we use in browser.

 So we create a document which is aligned towards single topic.
In the same document we can have sub-topics under the single topic.
We can also have sub-sub topic inside :) 

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Tabs in Google Docs let you create sections within a single document, similar to tabs in a web browser or spreadsheet. Each tab can contain separate content, allowing you to organize related information without switching between different Docs files.

Think of it like this:

• Instead of having 5 separate Docs files for different aspects of a project, you can have 1 Google Doc with 5 tabs, each dedicated to a topic.

   

   Example:

  Let's say we have a AI project with main document name as "AI Assistant for Customer Support"



  We can have tabs as below:
  

  Tab Name	What to Include
  1. Problem Statement	Define the problem you're solving, pain points, target users, and project goals.
  2. Data Collection & Cleaning	Sources of data (chat logs, support tickets), privacy considerations, preprocessing steps.
  3. Model Selection & Training	ML/DL models considered (e.g., BERT, LLMs, custom models), training setups, experiments.
  4. Evaluation & Metrics	Accuracy, F1 score, confusion matrix, user feedback — how you’ll judge model quality.
  5. Deployment Plan	Architecture, inference setup (e.g., REST API), infrastructure (AWS/GCP), latency goals.
  6. UI/UX Design	Interface mockups, chatbot UX, conversation flows.
  7. Risks & Ethical Concerns	Bias, hallucinations, GDPR issues, response safety.
  8. Timeline & Milestones	Sprint plans, deadlines, deliverables.
  9. Team & Roles	Who’s doing what: ML engineer, designer, backend, QA, PM, etc.
  10. References & Tools	Research papers, tech stack, tools used (e.g., Hugging Face, PyTorch, LangChain).

  
  

  This is awesome way to have a organized info.  Thanks Google.
  
  Thanks to ChatGPT for fetching an example.
  

Determine your graphical platform - X11/wayland

 

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Open a terminal and run the command echo $XDG_SESSION_TYPE.

If the output is "x11", then your system is using X11.
If the output is "wayland", then your system is using Wayland.

Most modern systems make use of wayland.
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Wayland:
A newer, more secure, and potentially more performant display protocol, especially for modern graphics hardware.

X11:
The traditional display server protocol used by many Linux systems, including Ubuntu.

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Education - simulation of concepts

 

Kids education:

https://phet.colorado.edu/

It covers the following:
Physics
Maths and statistics
Chemistry
Earth & Space
Biology

Simulations of concepts.