Training, fine-tuning, reinforcement learning, and adaptation techniques for language models.
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…
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.
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