Codetown
Codetown ::: a software developer's community
Gifts Received
Alex Buckles has not received any gifts yet
Alex Buckles's Page
Profile Information
- How did you hear about Codetown?
- What are your main interests in software development?
- It's something i've been around for a long time but haven't taken the time to learn. Now i'm investing the time to learn and I've selected Java as the language i'd like to learn first.
- Do you have a website?
- http://www.thebondhub.com
- Anything else you'd like to add? Where do you live? (optional!)
- Married. Three children. Live in Lake Mary.
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.
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.
InfoQ Reading List
Presentation: The Time is Now: Delight Your Developers with User-Centric Platforms & Practices
Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.
By Ana PetkovskaDeepSeek Open-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM
DeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a range of LLM benchmarks, including MMLU, MMLU-Pro, and GPQA.
By Anthony AlfordArticle: A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezGoogle Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
By Sergio De Simone
© 2025 Created by Michael Levin.
Powered by
Comment Wall (2 comments)
You need to be a member of Codetown to add comments!
Join Codetown
Hi Alex and welcome to Codetown. It's nice to have another finance guy here. Maybe you can come to our next OJUG meeting on the 24th. The presenter, Eric, is a finance guy. I bet you'll enjoy it. You may want to join the OrlandoJUG group here, too. That way, you'll get an email when I post discussions that let you know about upcoming meetings.