Alina Petrakova
  • Female
Share on Facebook MySpace
  • Blog Posts
  • Discussions
  • Events
  • Groups (3)
  • Photos
  • Photo Albums
  • Videos

Alina Petrakova's Friends

  • Michael Levin

Alina Petrakova's Groups

Gifts Received

Gift

Alina Petrakova has not received any gifts yet

Give a Gift

 

Alina Petrakova's Page

Profile Information

How did you hear about Codetown?
OJUG
What are your main interests in software development?
Everything there is!!!

Comment Wall (1 comment)

You need to be a member of Codetown to add comments!

Join Codetown

At 11:41am on September 27, 2009, Michael Levin said…
Hi Alla and welcome to Codetown! You might want to look around and join some groups that interest you. Enjoy! All the best, Mike
 
 
 

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Apple's Illusion of Thinking Paper Explores Limits of Large Reasoning Models

Apple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs encounter a "collapse" threshold where the models reduce their reasoning effort, indicating a limit to the models' scalability.

By Anthony Alford

Presentation: A Framework for Building Micro Metrics for LLM System Evaluation

Denys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.

By Denys Linkov

Google DeepMind Unveils AlphaGenome: A Unified AI Model for High-Resolution Genome Interpretation

Google DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.

By Robert Krzaczyński

Jakarta EE 11 Delivers One New Specification, 16 Updated Specifications and Modernized TCK

What was originally planned for a full GA release of Jakarta EE 11 in July 2024, only the Core Profile and the Web Profile were delivered in December 2024 and April 2025, respectively. And now, the Jakarta EE 11 Platform has been delivered featuring one new specification and a new TCK. Ed Burns, Release Coordinator for Jakarta EE 11, spoke to InfoQ about the release of Jakarta EE 11.

By Michael Redlich

Logz.io and Dynatrace Innovations Shift Observability Into the AI Age

Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.

By Matt Saunders