Optimizing Token Generation in PyTorch Decoder Models
Hiding host-device synchronization via CUDA stream interleaving
The post Optimizing Token Generation in PyTorch Decoder Models appeared first on Towards Data Science.
A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of modern deep learning models
The post Optimizing Deep Learning Models with SAM appeared first on Towards Data Science.
Inside the research that shows algorithmic price-fixing isn't a bug in the code. It's a feature of the math.
The post AI Bots Formed a Cartel. No One Told Them To. appeared first on Towards Data Science.
Use Claude Code to quickly build completely personalized applications
The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science.
The Reality of Vibe Coding: AI Agents and the Security Debt Crisis
Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it.
The post The Reality of Vibe Coding: AI Agents and the Security Debt Crisis appeared first on Towards Data Science.
Multi-tenancy, scheduling, and cost modeling on Kubernetes
The post Architecting GPUaaS for Enterprise AI On-Prem appeared first on Towards Data Science.
The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents
AI can write the code, but you have to steer the ship. Master the knowledge to keep you relevant in the age of AI.
The post The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents appeared first on Towards Data Science.
AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving
All you need to know about Chain of Causation reasoning and the current state of Autonomous Driving!
The post AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving appeared first on Towards Data Science.
When your warehouse and transportation teams blame each other for late deliveries, who's right? We can ask an agent connected to the data settle the debate.
The post Can AI Solve Failures in Your Supply Chain? appeared first on Towards Data Science.
Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables
Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance trade-offs
The post Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables appeared first on Towards Data Science.
Agentic AI for Modern Deep Learning Experimentation
Stop babysitting training runs. Start shipping research. Autonomous experiment management built for/by deep learning engineers.
The post Agentic AI for Modern Deep Learning Experimentation appeared first on Towards Data Science.
Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development
Conceptual overview and practical guidance
The post Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development appeared first on Towards Data Science.
A practical onboarding checklist for building trust, business fluency, and data intuition
The post Your First 90 Days as a Data Scientist appeared first on Towards Data Science.
Stephanie Kirmer on the $200 billion investment bubble, how AI companies can rebuild trust, and how her day-to-day work changed with the rise of LLMs.
The post The Evolving Role of the ML Engineer appeared first on Towards Data Science.
Building an AI Agent to Detect and Handle Anomalies in Time-Series Data
Combining statistical detection with agentic decision-making
The post Building an AI Agent to Detect and Handle Anomalies in Time-Series Data appeared first on Towards Data Science.
An easy step-by-step guide to building the snake game from scratch
The post Implementing the Snake Game in Python appeared first on Towards Data Science.
The Death of the “Everything Prompt”: Google’s Move Toward Structured AI
How the new Interactions API enables deep-reasoning, stateful, agentic workflows.
The post The Death of the “Everything Prompt”: Google’s Move Toward Structured AI appeared first on Towards Data Science.
Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes
How much of your AI agent's output is real data versus confident guesswork?
The post Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes appeared first on Towards Data Science.
Mechanistic Interpretability: Peeking Inside an LLM
Are the human-like cognitive abilities of LLMs real or fake? How does information travel through the neural network? Is there hidden knowledge inside an LLM?
The post Mechanistic Interpretability: Peeking Inside an LLM appeared first on Towards Data Science.
Plan–Code–Execute: Designing Agents That Create Their Own Tools
The case against pre-built tools in Agentic Architectures
The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science.