Darkstalker articles - 19 total
Building Nexa Research Agent: An AI-Powered Deep Research Platform from Scratch
If you've been following the explosion of research agents sparked by open-source powerhouses like...
NEXAPod: The Discovery Engine That Could Change the Future of Science Forever
“The story of humanity is not one of war or trade. It is the story of discovery.” We discovered...
Scientific AI with NEXA's Stacked Adapter Fine-Tuning Strategy
Revolutionizing Scientific AI with NEXA's Stacked Adapter Fine-Tuning Strategy In the...
Why Science Must Be Decentralized, Permissionless, and Widely Available
"Progress is born not in ivory towers, but in garages, basements, and open forums." In a world...
Nexa Auto: Your Go-To for Easy, Secure LLM Fine-Tuning
Imagine you’re a developer itching to fine-tune a language model but dreading the setup...
Fine-Tuning Mistral-7B for Scientific Research: A Step-by-Step Guide
A Step-by-Step Guide Fine-tuning large language models (LLMs) like Mistral-7B for...
How I Shipped 95,000 Proteins in Under 5 Minutes: Building a Scalable Inference Engine for Scientific ML
Scientific machine learning is one of the most important fields of the next decade — but its tooling...
From Pixels to Predictions: Building Your First ML Classifier A dev-friendly intro to image classification using deep learning.
"Machine learning isn’t magic. It’s just math applied with care." If you've ever wondered how an...
Building a Scalable Scientific LLM Pipeline: From Raw Data to Hugging Face
In the fast-evolving world of AI, domain-specific language models are unlocking new possibilities for...
How I Build: Stateless Engineering for Deep Work and Rapid Progress
This post isn’t about an app or a product. It’s about how I work — the structure, mindset, and...
Reconsidering DSA in Tech Hiring: A Builder’s Perspective
Have you ever spent hours grinding LeetCode, only to wonder: Is this what software engineering is...
NEXA-MOE: A Lean, Powerful AI for Scientific Discovery Under Tight Constraints
Models with billions of parameters, trained on sprawling GPU clusters, dominate headlines. But what...
Comparing Optimization Algorithms: Lessons from the Himmelblau Function
Which Optimization Algorithm Wins? Lessons from the Himmelblau Function Optimization algorithms are...
Solving the Navier-Stokes Equation with Physics-Informed Neural Networks: A New Frontier in CFD
The Navier-Stokes equations are the backbone of fluid dynamics, describing how liquids and gases...
Revolutionizing Particle Track Reconstruction with a Hybrid Ensemble Approach
High-energy physics (HEP) is a field that pushes the boundaries of our understanding of the universe,...
Celebrating World Quantum Day: Advancing Quantum State Tomography with Physics-Informed Neural Networks
Today, on World Quantum Day, I’m excited to share a breakthrough in quantum state tomography (QST)...
Predicting Band Gaps for Next-Gen Lithium-Ion Batteries with Machine Learning
Imagine designing the next breakthrough in lithium-ion battery technology—faster-charging phones,...
Training a Stellar Classification Model with Ensemble Machine Learning
Training a Stellar Classification Model with Ensemble Machine Learning Hey there, fellow...
Predicting Protein Secondary Structures with Machine Learning
Introduction Protein secondary structure prediction is a fundamental task in bioinformatics, helping...