This Week I Learned - Week #46 2024

This Week I Learned -  

* According to YouTube, over 500 hours of video content is uploaded every minute, and approximately 694,000 hours of video content are streamed per minute.

High-level design of a YouTube-like system - Educative.io

* yt-dlp is an open-source and free command-line utility that facilitates downloading videos from a variety of platforms, including Twitter.

* With the JavaScript Web Share API, web apps can use the same system-provided share capabilities as platform-specific apps.

* Docs as code is a method for creating software documentation with largely the same tools that are used in software development, including:

  • Issue Trackers
  • Version Control (Git)
  • Plain Text Markup (Markdown, reStructuredText, Asciidoc)
  • Code Reviews
  • Automated Tests
Microsoft, AWS, Open Food Facts are some organizations that use this technique.

* Prometheus was first used in-house at SoundCloud, where it was developed, for monitoring their systems.

* Claude switches from Claude 3.5 Sonnet to Claude Haiku for free plans when there is increased traffic. 

* Infosys co-founder NR Narayana Murthy is skeptical about efforts to develop LLMs in India as he feels that the Indian mindset is not geared towards problem solving. He thinks India should focus on building solutions atop existing LLMs, a viewpoint shared by Nandan Nilekani and even sections within the government.

* Swiggy’s Rs 11,327 crore IPO is the second biggest payout for a consumer internet company after the Paytm IPO in 2021. Merchant bankers will earn as much as Rs 275 crore in merchant banker fees from Swiggy. The IPO is likely to make at least 500 crorepatis, with as many as 5,000 employees set to earn Rs 9,000 crore in total. As many as 70 former and current employees at Swiggy stand to pocket more than Rs 8.5 crore each ($1 million) – making them dollar millionaires.

* UAE is now home to over 10 million people — a third of them from India, with the biggest portion hailing from Kerala. 

* ISRO’s heavy lifter LVM-3 can lift satellites up to four tonnes into geostationary transfer orbit (GTO). American space company, SpaceX's Falcon-9 rocket can launch payloads of up to 8300kg to GTO.

* Risdiplam, a drug to treat spinal muscular atrophy (SMA), costs Rs 72 lakh per patient per year when it could be produced for just Rs 3,000 per year according to Dr Melissa Barber, a drug costing expert at Yale University.

* Despite the expenditure of a colossal Rs 7,000 crore on the Yamuna's clean-up since 2017, water quality data reveals that the Biochemical Oxygen Demand levels—a marker of pollution—were 42 times greater at Asgarpur, the point where the river leaves Delhi, in comparison to Palla, where it enters the city.

* At 104 million, elderly in India are a little over 10% of the population.

* 76% of income tax collected is from those earning above Rs 50 lakh a year.

Comments

Post a Comment

Popular posts from this blog

Maven Crash Course - Learn Power Query, Power Pivot & DAX in 15 Minutes

Image
In the Maven Crash Course " Learn Power Query, Power Pivot & DAX in 15 Minutes ", Chris Dutton walks through a hypothetical business case while showcasing the power of modern Excel tools like Power Query, Power Pivot and DAX. Power Query is used to extract, transform, and load data from external sources like SQL databases, PDF and CSV files. A relational model is created to join the tables without writing a single formula. Exploratory analysis is done using Power Pivot and Data Analysis Expressions (DAX). Data Analysis Expressions is the language that we can use to define new calculated columns and measures to enhance our Data Model instead of the traditional cell formulas that we'd typically use if our data was stored in worksheets. Pivot Charts and slicers are used to design a simple interactive report that the sales managers can use to analyze revenue trends and product performance.
Read more

"Data Prep & Exploratory Data Analysis" course by Maven Analytics

Image
The Maven Analytics course on " Data Prep & Exploratory Data Analysis " by Alice Zhao is a beginner-friendly introduction to machine learning with Python. It covers the key steps of the data science workflow, including: Gathering Data Scoping a Project Modeling Data Sharing Insights Cleaning Data Exploring Data Modeling Data  Sharing Insights The presentation deck which is available as a download crisply summarizes the essential details and is a great reference to keep going back to. The course is well-suited for aspiring data scientists looking to get hands-on experience with the data prep and EDA stages of the machine learning workflow using Python and Jupyter Notebook. 
Read more

Oracle Cloud Infrastructure 2024 Generative AI Professional Course & Certification Exam (1Z0-1127-24)

Image
I was happy to learn about the Oracle Cloud Infrastructure 2024 Generative AI Professional Course with video tutorials and the Certification Exam (1Z0-1127-24) from their newsletter. I found it extremely useful, timely, and relevant. The course, with about 6 hours of videos, provided me with a comprehensive view of what it takes to build a Generative AI application. Although some parts reference OCI services, much of the course remains vendor neutral. Rohit Rahi and his team at Oracle have done a great job of structuring the beginner-friendly yet comprehensive course so well, covering all the essentials across four modules. The curriculum strikes an excellent balance between depth and accessibility.  While Gen AI output is typically non-deterministic, I was surprised to learn that they can be made completely deterministic under certain conditions. Specifically, in the OCI Gen AI service, setting the temperature parameter to 0 produces consistent, deterministic output for a g...
Read more