[Dev Catch Up #48] - DeepSeek Mania dominates OpenAI Operator, Realistic Tabular data with CGANs, Llama.vim, Expressions in Rust, Implementing Server-Side Rendering in React.js, and much more.
Bringing devs up to speed on the latest dev news from the trends including, a bunch of exciting developments and articles.
Welcome to the 48th edition of DevShorts, Dev Catch Up!
For those who joined newly or are reading, Dev catch up for the first time. I write about developer stories and open source, partly from my work and experience interacting with people all over the globe.
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How to use Postgres as a Vector Database with BGE Embedding model
Apollo video LLM, Gemini 2.0, lla file explorer, Database migration
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Must Read
Are you also in shock with the recent performances from DeepSeek? Well, experts believed that it was bound to happen and the only thing to lookout for was the timing. They also predicted that the obvious choices will be some startup or organization outside the US ecosystem. Steven Sinofsky penned all of this down by means of this x.com article.
Last week, the tech community rejoiced with the announcement of the Stargate project. Now, OpenAI hit the headlines again because they came up with the introduction of their first AI agent named Operator that can use its own browser to perform your intended tasks. It can do all of these because of the Computer-Using Agent (CUA) model. The operator product page tells you more about the agent and if you are based in US, you can also try it out.
While checking out new papers on AI, found out something that will be really helpful for developers planning on training their model with open datasets. Training a model on public datasets comes with a lot of challenges and you should know the best practices for mitigating those challenges. This paper outlines the challenges and provides practical recommendations for sourcing, processing, governing, and releasing of these datasets.
OSS Highlight of the Week
Llama.vim, an open-source tool that provides automatic text completion with the help of local LLM. This one is on the verge of getting its first 1000 stars on GitHub. So, check it out from the official GitHub page and give it a try.
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Good to know
Have you tried server-side rendering with React? It enhances the SEO, the link preview, and rendering speed. Implementing it via React-Relay and Vite is a complex and crucial process and devs at Aqora shows you the entire process with the help of this detailed article.
While interacting with LLMs are a lot common today, I am pretty sure you must have thought about data privacy. From the haystack of numerous papers revolutionizing AI development, I found a paper on Trusted Capable Model Environments. It can be described as an alternative approach for scaling secure computation. Learn more about it from here.
I am sure a lot of data enthusiastic devs read our issues but do you guys have any idea about CGANS? Conditional Generative Adversarial Networks (CGANs) are a powerful extension of GANs that allow data generation conditioned on specific attributes or features. This tutorial gives you a detailed guide to generate realistic tabular data.
Rust is one language that has particularly caught my attention since the start of 2024. An underrated aspect of the language is its focus on expressions, which made the feeling of code composing more natural. But how is it different from other programming languages? Learn all about expressions in Rust from this amazing article.
A lot of devs handle data-intensive workloads in PostgreSQL on a day-to-day basis and for you all, I just found one perfect extension. pg_incremental is an open source PostgreSQL extension for automated, incremental, reliable batch processing. Learn all about this extension from this detailed article.
Notable FYIs
DeepSeek has taken all the attentions of developers in a storm. This Latent.Space podcast brings you discussion on DeepSeek V3 quantization, pricing strategies, SG Lang, open source AI, and the three pillars of Mission Critical Inference.
As a developer, you would love an AI-coding assistant for your day-to-day tasks. Here is a deep-dive discussion with Ty Dunn, co-founder of Continue on the future of developer tools.
Sharding is the distribution of data across enough machines to avoid resource constraints impacting operations. If you are an SRE, you possibly have an idea about this. But there is something by the name of hot shard problem. Know all about this problem and the handling of it from this article.
Here is an observability collector that might still be unknown to a lot of you. MetricsHub can detect and predict issues in your servers, networks, and storage infrastructure before they impact the availability of your services. This article tells you all about it.
Designing IOS applications with React Native comes with a challenge. There is a common Swift modular header error in React Native library installations. This detailed article explains the issue's cause and offers favourable solutions.
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