Chi Programming Tutorials & Engineering Articles

The article discusses the introduction of NVIDIA TensorRT Edge-LLM, an open-source C++ framework designed for high-performance inference of Large Language Models (LLMs) and Vision Language Models (...

The article discusses advancements in robot manipulation through the integration of simulation and language models, focusing on three key research efforts: ThinkAct, sim-and-real policy co-training...

The article highlights Alexey's favorite features introduced in ClickHouse throughout 2025, including lightweight updates, data lake support, and advancements in text and vector indexing.

The article discusses the deployment of on-device generative AI (GenAI) using LiteRT-LM in Chrome, Chromebook Plus, and Pixel Watch.

ClickHouse version 25. 8 introduces 45 new features, 47 performance optimizations, and 119 bug fixes, enhancing its capabilities as a high-performance analytical database.

The article discusses emergent misalignment in large language models, particularly focusing on how misaligned persona features can lead to generalized misalignment.

The article discusses the modernization of Pinterest's home feed pre-ranking stage, focusing on the introduction of a sophisticated pre-ranking layer known as Lightweight Scoring.

This article discusses the redesign of Pinterest's ad serving systems, focusing on achieving zero downtime during the transition.

This article provides a comprehensive guide on customizing NVIDIA's Llama 3 8B NIM for domain-specific applications, particularly in the biomedical field using the PubMedQA dataset.

Model Explorer is a powerful graph visualization tool designed to simplify the development and optimization of machine learning models for edge devices.

This article discusses the complete redesign of Pinterest's ad serving system, known as Mohawk, which was rewritten to eliminate technical debt and improve performance, enabling the company to meet...

The article discusses the open sourcing of FlyteInteractive, a tool developed by LinkedIn to enhance machine learning (ML) development productivity.

QHack 2023 showcased the intersection of quantum computing and machine learning, featuring 2,850 participants from 105 countries competing to develop innovative solutions using NVIDIA's quantum tec...

The article discusses the implementation and deployment of MySQL Raft at Meta, focusing on how it aims to replace semisynchronous databases with a more reliable and simpler distributed system.

The article discusses Pinterest's implementation of a unified lightweight scoring system for its home feed recommendations using a two-tower architecture.

The article discusses how Pinterest employs machine learning techniques to deliver relevant ads to users by utilizing unique first-party signals.

The article discusses the integration of Elastic Distributed Training with XGBoost on Ray, highlighting how this approach addresses challenges in distributed machine learning at scale.

The article provides a personal account of Knit Con, an annual event at Pinterest where employees engage in creative activities and classes.

This article discusses LinkedIn's approach to A/B testing, specifically focusing on the efficient assignment of variants at scale.

The article discusses the evaluation of COPA, a tunable delay-based congestion control algorithm designed to optimize video performance over the internet.

The article highlights the essential role of the IT Engineering team at Uber, detailing how they support the company's operations through various technologies and services.

The article introduces Divyakumar Menghani, a Data Science Manager at LinkedIn, detailing his journey from intern to manager and the impactful projects he leads within the Hiring Marketplace Data S...

The article discusses how LinkedIn leverages data science and machine learning to drive business decisions, focusing on the importance of defining KPIs, conducting A/B testing, and following a stru...

The article discusses the evolution and applications of VMAF (Video Multi-method Assessment Fusion), a video quality metric developed by Netflix that combines human vision modeling with machine lea...

The article discusses the importance of maintaining an accurate calendar for Airbnb hosts and how contextual calendar reminders can enhance booking reliability.

The article discusses a Machine Learning Platform meetup hosted by Netflix, featuring talks from industry leaders at Google, Twitter, Uber, Facebook, and Netflix.

The article introduces Qingbo Hu, a Senior Business Analytics Associate at LinkedIn, highlighting his background, projects, and interests.

The article discusses the internship experience with LinkedIn's Analytics team, focusing on their hiring strategy for 2017 and the meaningful work interns engage in.

The article discusses how Pinterest utilized machine learning to enhance user engagement globally, particularly through improvements in the home feed experience.

The article discusses 'Voices', a text analytics platform developed by LinkedIn to analyze member feedback effectively.

The article discusses Netflix's development of the Video Multimethod Assessment Fusion (VMAF), a perceptual video quality metric designed to accurately measure video quality at scale.

The article discusses leveraging GPU acceleration in R through the Teraproc Cluster-as-a-Service, significantly reducing computation times for statistical algorithms.