Rahul Kumar

Senior Software Engineer | FP | Scala | Big Data | Distributed and Reactive Systems Designer

[Rahul Kumar @rahul_kumar_aws]

I just published Part 1: Demystifying AI Agents - Build One From Scratch in Python https://t.co/qC2aX0qhUK

[Michael Pyrcz🌻 @GeostatsGuy]

I am committed to producing reproducible #educational content for my students and all! I have been hunting down every schematic & borrowed figure in my course notes and...

replacing them with well-documented #Python demonstrations with great plots, links to the codes that produce the results, and the data!

All data and codes are open and available to all. All my content is real and realistic! I'm stoked!

[Kirk Borne @KirkDBorne]

This repository contains everything you need to become proficient in #PyTorch, with 15 implemented projects — compiled by @NainaChaturved8
+
See this book: https://t.co/FRdSLS50hp
——
#DataScience #DataScientists #AI #MachineLearning #Python #DeepLearning
https://t.co/WVhlED8teb

[Rahul Kumar @rahul_kumar_aws]

Just got a new MIT Professional Education credential via @Accredible for https://t.co/XiCRG0XKSC via @mitprofessional

[Yann LeCun @ylecun]

This is huge: Llama-v2 is open source, with a license that authorizes commercial use!

This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers

Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.

Llama-2 website: https://t.co/PKrrXgHdem
Llama-2 paper: https://t.co/aINNrXNhMb

A number of personalities from industry and academia have endorsed our open source approach: https://t.co/N7HwgW9Suh

[Matei Zaharia @matei_zaharia]

One of my favorite features in the upcoming #ApacheSpark 3.0 is Adaptive Query Execution (AQE), which tunes number of reduce tasks, join algorithms and skew joins automatically. Learn how it works and how it speeds up TPC-DS queries by up to 8x: https://t.co/40DHKHieWU

[Akka @akka_io_]

🌀New video by our #Akka team lead, @patriknw. This video illustrates how to implement #CQRS with #Akka 2.6 by reading tagged events. The video continues from where the #EventSourcing video left off.

https://t.co/Eklj5WlfxX

[Rahul Kumar @rahul_kumar_aws]

#MonsterJam nice show 😃

[Akka @akka_io_]

✏️📙#Akka Streams is a #ReactiveStreams implementation that provides backpressure to streaming workloads, avoiding overloading producers or consumers. Learn how it works:

https://t.co/CopDEYIju7

[Robot&AIWorld @RobotAndAIWorld]

Here's more footage of MIT's Mini Cheetahs cavorting, frolicking, back-flipping, playing soccer and generally acting fun and cute, courtesy of the Biomimetic Robotics Lab @MITMechE #robots #robotics

[Akka @akka_io_]

💙📘Architects love #AkkaCluster because it lets them run their applications like a single system across multiple JVMs, nodes, and even data centers. Learn how it works in this white paper:
https://t.co/CopDEYIju7

[Triplequote @triple_quote]

Using @PlayFramework or #Slick in your #Scala projects?

Here is a great read from @Yoco_ZA touching on their technical challenges and covering how #Hydra has helped defusing the eng team's frustration due to long #Scala compile times: https://t.co/1w7zGdPex8 #WeekendRead

[Databricks @databricks]

Data engineers can sleep easier knowing that human errors like unintentionally dropped rows or miscalculated columns are reversible using time travel. https://t.co/kZgqJwPhGg

#DeltaLake

[Akka @akka_io_]

In this webinar with Fabio Tiriticco, we will explore how #Akka is the perfect companion to #Kubernetes, providing the application-level requirements needed to successfully deploy and manage your cloud-native services:
https://t.co/meEmz3ljoB

[Kirk Borne @KirkDBorne]

This 10-page [PDF] reference covers a semester's worth of introductory probability —⭐️The best #Probability Cheat Sheet that you may ever need: https://t.co/Jmgjkb6nT9 by @wzchen and @stat110 📊📈
—————
#abdsc #BigData #DataScience #Statistics #StatisticalLiteracy

[Akka @akka_io_]

🎮Did you know that #Fortnite is powered by #Akka? So if you’re building online gaming for huge scale, check out how #Akka Cluster can help in this white paper:
https://t.co/CopDEYIju7

[Suzana Ilić @suzatweet]

This is so cool. + open source. @netflix 👏

"Polynote: a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more." 🤯

https://t.co/Oihzp1PL5p

[Matei Zaharia @matei_zaharia]

Cool work by my student @sppalkia. Many groups are building compilers for data & ML apps, but this is time-consuming and complex. @sppalkia shows you can get most of the speedup with existing library functions (NumPy, pandas etc) by managing data movement: https://t.co/qGV3MNXMZQ

[Databricks @databricks]

Data engineers can sleep easier knowing that human errors like unintentionally dropped rows or miscalculated columns are reversible using time travel. https://t.co/kZgqJwPhGg

#DeltaLake

[PyImageSearch @PyImageSearch]

New tutorial!🚀#Keras vs. tf.keras: What's the difference in #TensorFlow 2.0?🤔Covers:
- History of Keras & TF
- Eager execution
- Model subclassing
- Best practices, tips, & suggestions
Full tutorial w/ #Python code here: https://t.co/8EsrMZG0eH 👍
#DeepLearning #MachineLearning