38 blog articles
Paolo Pecis · October 5, 2026
Paolo Pecis explores fully offline speech-to-text and LLM summarization on iOS and Android with React Native, whisper.rn, llama.rn, and the SoloAI app.
Matheus Dias · September 22, 2026
Authentication and authorization for AI agents on AWS. Who is allowed to call your agent, and how your agent proves itself to everything it calls.
João Correia, Telmo Felgueira, Tiago Gonçalves, Bojan Jakimovski, Jim Burtoft, Louise Ping · August 18, 2026
A native PyTorch benchmark showing EvolutionaryScale ESMC-300M running on AWS Trainium2: 490.8 variants per second on a single trn2.3xlarge — approximately 42.4 million protein variants scored per day at approximately $1.26 per million, 60% below H100 in this fixed-shape D2Deep benchmark.
Ana Marković · August 4, 2026
Everything is buildable now. Every team I meet lives in the same climate: more ideas than quarters to test them in, more tools than problems, roadmaps that read like wish lists because nothing on them is technically…
Nina Cvetkovska, Bojan Jakimovski · July 10, 2026
The main post covers what we found: Grok 4.3 lands in the same 96–97% accuracy band on GSM8K whether you reach it through Amazon Bedrock Mantle or the first-party xAI API, and low reasoning effort captures most of the…
Nina Cvetkovska, Bojan Jakimovski · July 10, 2026
A public-facing benchmark story on Grok 4.3 through Amazon Bedrock Mantle and the xAI API, focused on accuracy, latency, cost, reliability, and enterprise deployment tradeoffs.
Andres Florian, Daniel Sabogal · July 9, 2026
If you work anywhere near data-heavy science — genomics, metagenomics, proteomics — you’ve probably hit the same wall: building reliable, reproducible data pipelines is hard. Nextflow is an open-source workflow engine…
Jelena Pejovic, Jorge Moura Sampaio · July 8, 2026
Modern computational drug discovery depends on complex workflows that connect AI models, structural biology tools, databases, and quality-control steps into reproducible pipelines. While many organizations have access…
Didier · July 6, 2026
Training a vision model on millions of images is, more than anything, a data problem wearing an ML costume. The architecture can many times be the least interesting part. Everything around it is usually more fun: how we…
Ervin Shaqiri, Alexandre Domingues · July 2, 2026
In the digital audio subset of AI, the questions currently on everyone’s mind are
Guilherme Ribeiro · July 1, 2026
When building AI agents with AWS Bedrock, guardrails are your first line of defense for keeping conversations on topic. A common requirement is to restrict an agent to a pre-defined strict allowlist, blocking everything…
Ervin Shaqiri, Alexandre Domingues · July 1, 2026
Fourteen open-source text-to-speech models across six emotion-control paradigms, benchmarked against AWS Nova Sonic v2 on naturalness, expressiveness, latency, and licensing.
Julián F. Fernández, Andres Florian, Daniel Sabogal · June 30, 2026
What to know before you scale cofolding jobs from five structures to ten thousand.
João Afonso Pereira · June 26, 2026
How we built an agent that ports Python ML code to edge hardware for space.
Petar Kalinovski, Bojan Jakimovski · June 15, 2026
The main post covers what we found: GPT-5.5 on Amazon Bedrock matches OpenAI API accuracy and comes out faster on every latency and throughput dimension we measured. This post covers how we ran it. If you want to…
Petar Kalinovski, Bojan Jakimovski · June 15, 2026
A comparison of GPT-5.5 through Amazon Bedrock and the OpenAI API across answer quality, latency, throughput, and reliability, followed by two production-shaped copilot builds.
Bojan Jakimovski, Loka Applied Research · May 21, 2026
A practical benchmark showing Hugging Face Bio Carbon running on AWS Trainium2 with NxD Inference, covering what worked, what we measured, and why it matters for bio and HCLS teams moving open models into production.
Bojan Jakimovski · May 21, 2026
Hugging Face Bio’s Carbon release is interesting for two reasons at once. First, it is a biology model. Second, it is not an infrastructure outlier. Many genomic models come with custom architectures, specialized…
Crhistian Cardona · April 22, 2026
How to turn scattered guidelines into adaptive workflows that score, explain, and improve content at scale
Andreia Pereira · March 25, 2026
A Portuguese playwright wanted to push AI beyond the assistant role and onto the theatre stage. Here’s how LOKA built a live system that brings a cast of AI actors to perform alongside humans.
Mario Petkoski, Bojan Jakimovski, Zafir Stojanovski · March 2, 2026
Productionizing Agentic Use Cases in Weeks, Not Months
Bojan Jakimovski, Petar Kalinovski · February 23, 2026
If you work in regulated domains (Healthcare, Life Sciences, Finance) you routinely hit constraints that break the default “just call a hosted API” approach:
Bojan Jakimovski, Petar Kalinovski · February 23, 2026
An ablation-driven study of GRPO-style reinforcement learning with LoRA on Trinity Mini for biomedical relation extraction, covering the training choices that materially changed performance.
Stefanija Zdraveska · January 27, 2026
When building stable and maintainable software, one of the biggest challenges developers face is that modern applications often need to support multiple versions of a feature—different algorithms or formats that can…
Romulo Pagnozzi, Crhistian Cardona · January 20, 2026
A practical benchmark of RAG ingestion and search performance across AWS Lambda and EC2
Sara Oquendo · January 5, 2026
Solving the Challenges of Traditional Pipelines
Nina Cvetkovska, Petar Kalinovski, Bojan Jakimovski · September 2, 2025
After exploring the foundations of Agentic Patterns in Part 1, where we looked at more structured workflows like Sequential and Parallel workflows, LLM Routing, and Reflection, this time we are going to push further…
Nina Cvetkovska, Petar Kalinovski, Bojan Jakimovski · August 27, 2025
These days, Agents are everywhere in daily conversation and it seems everyone wants one. We read or hear about AI Agents, Agentic AI, Agentic Architectures, and Agentic Patterns almost every day. But what do these terms…
Jelena Pejovic, José Ribón, Andrés Sacre, Federico Rueda, Nicolás Franco, Javier Dominguez, Juliana Silva · June 28, 2025
Loka’s participation in the recent nf-core hackathon in Medellín, Colombia, culminated in the successful development of MITNANEX, a pipeline designed to extract and assemble mitochondrial genomes, identify and annotate…
Gabriel Menezes da Silva · June 23, 2025
Moving from XML to Jetpack Compose helps developers write cleaner, faster and more modern UI code — essential for staying up to date with Android’s best practices.
Dragan Savevski · June 17, 2025
Simple interface for data stored in S3
Crhistian Cardona, Bojan Jakimovski · April 10, 2025
A DeepSeek benchmark on AWS that compares cost, performance, and deployment choices for business workloads using open-weight models.
Crhistian Cardona, Bojan Jakimovski · February 20, 2025
A deployment walkthrough for serving distilled DeepSeek-R1 models with Amazon SageMaker AI, including the AWS setup for open-weight reasoning models.
Crhistian Cardona, Bojan Jakimovski · February 20, 2025
Engineering notes on deploying DeepSeek-R1 models to AWS-designed silicon instances and serving open-weight reasoning models on AWS.
Crhistian Cardona, Bojan Jakimovski · February 17, 2025
Deploy distilled DeepSeek-R1 open-weight models through Amazon Bedrock, with a hands-on AWS setup from the Loka engineering team.
Crhistian Cardona, Bojan Jakimovski · February 12, 2025
How the open-recipe LLM is transforming GenAI
Daniel Pereira · January 20, 2025
You probably have heard the history of how HTTP was created and you might even know about the new HTTP/3 version. In this article, I want to focus on some of the lesser-known details of HTTP and why we need a new…
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