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NewsMachine Learningvia Towards Data Science

TDS Newsletter: Vibe Coding Is Great. Until It’s Not.

Sorting through the good, bad, and ambiguous aspects of vibe coding The post TDS Newsletter: Vibe Coding Is Great. Until It’s Not. appeared first on T...

TDS Editors1w ago
NewsMachine Learningvia 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...

Julian Mendel1w ago
LLM routing in production: Choosing the right model for every request
How-ToMachine Learningvia LogRocket Blog

LLM routing in production: Choosing the right model for every request

Learn how LLM routing works in production, when it’s worth the complexity, and how teams choose the right model for each request. The post LLM routing...

Alexander Godwin1w ago
How-ToMachine Learningvia Towards Data Science

Why Is My Code So Slow? A Guide to Py-Spy Python Profiling

Stop guessing and start diagnosing performance issues using Py-Spy The post Why Is My Code So Slow? A Guide to Py-Spy Python Profiling appeared first...

Kenneth McCarthy1w ago
What is the NVIDIA B300?
How-ToMachine Learningvia DigitalOcean Tutorials

What is the NVIDIA B300?

'In this article, we look at the NVIDIA B300 GPU at a high level, and discuss what makes it such a powerful GPU for AI inference and training in 2026'

James Skelton1w ago
How-ToMachine Learningvia Towards Data Science

The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas

A simple mental model to remember when each one works (with examples that finally click). The post The Rule Everyone Misses: How to Stop Confusing loc...

Ibrahim Salami1w ago
Make Video Chats with characters on character.ai and LTX-2
How-ToMachine Learningvia DigitalOcean Tutorials

Make Video Chats with characters on character.ai and LTX-2

'Create interactive, talking video characters by combining character.ai chats with Qwen3-TTS voice cloning and LTX-2’s unified audiovisual generation...

James Skelton1w ago
How-ToMachine Learningvia Towards Data Science

AWS vs. Azure: A Deep Dive into Model Training – Part 2

This article covers how Azure ML's persistent, workspace-centric compute resources differ from AWS SageMaker's on-demand, job-specific approach. Addit...

Destin Gong1w ago
How-ToMachine Learningvia Towards Data Science

How to Work Effectively with Frontend and Backend Code

Learn how to be an effective full-stack engineer with Claude Code The post How to Work Effectively with Frontend and Backend Code appeared first on To...

Eivind Kjosbakken1w ago
How-ToMachine Learningvia Towards Data Science

How to Build Your Own Custom LLM Memory Layer from Scratch

Step-by-step guide to building autonomous memory retrieval systems The post How to Build Your Own Custom LLM Memory Layer from Scratch appeared first...

Avishek Biswas1w ago
How-ToMachine Learningvia 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 T...

Partha Sarkar1w ago
Self-Learning AI Agents: A High-Level Overview
How-ToMachine Learningvia DigitalOcean Tutorials

Self-Learning AI Agents: A High-Level Overview

'Learn what self-learning AI agents are, how they work, and why they matter. This overview explains core concepts, architecture, and tools in simple t...

Shaoni Mukherjee1w ago
A Comprehensive Overview of Vision-Language-Action Models
NewsMachine Learningvia DigitalOcean Tutorials

A Comprehensive Overview of Vision-Language-Action Models

'Explore Vision-Language-Action (VLA) model advancements like Robotic Transformer-1 and \-2, OpenVLA, and π0 (Pi-zero).'

Melani Maheswaran1w ago
How-ToMachine Learningvia DigitalOcean Tutorials

A Guide to the DataLoader Class and Abstractions in PyTorch

We will explore one of the biggest problems in the fields of Machine Learning and Deep Learning: the struggle of loading and handling different types...

Vihar Kurama1w ago
NewsMachine Learningvia Changelog

The tech monoculture is finally breaking

Jason Willems believes the tech monoculture is finally breaking, Don Ho shares some bad Notepad++ news, Tailscale's Avery Pennarun pens a great downti...

1w ago
I replaced a $120/year micro-SaaS in 20 minutes with LLM-generated code
NewsMachine Learningvia The Pragmatic Engineer

I replaced a $120/year micro-SaaS in 20 minutes with LLM-generated code

I used to pay $120/year for a SaaS that hasn’t added new features in four years, and didn’t fix its broken billing system for three years. Using an LL...

Gergely Orosz2w ago
My Journey to Airbnb: Peter Coles
NewsMachine Learningvia Airbnb Engineering

My Journey to Airbnb: Peter Coles

Public school to PhD The story of Airbnb’s Head Economist for Policy and Director of Data Science involves geology, co-teaching with a Nobel Prize win...

Lauren Mackevich2w ago
How-ToMachine Learningvia Martin Fowler

Bliki: Excessive Bold

I'm increasingly seeing a lot of technical and business writing make heavy use of bold font weights, in an attempt to emphasize what the writers think...

2w ago
How-ToMachine Learningvia DigitalOcean Tutorials

The Practical Guide to Advanced PyTorch

Master advanced PyTorch concepts. Learn efficient training, optimization techniques, custom models, and performance best practices.

Adrien Payong2w ago
Introduction to Topic Modelling in NLP
How-ToMachine Learningvia DigitalOcean Tutorials

Introduction to Topic Modelling in NLP

'Understand topic modelling in NLP and how algorithms like LDA uncover hidden themes in large text datasets using probability and word patterns.'

Shaoni Mukherjee2w ago
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