Prototyping a Live Product Recommender With Python
The article shows how to build a real-time product recommender prototype in Python using Contextual Multi-Armed Bandits to simulate user behavior and validate online learning algorithms like LinUCB. It explains why bandits handle cold-start and context better than traditional models, walks through data generation, feature engineering, offline evaluation, and sets up a live simulation as ...
https://jaehyeon.me/blog/2026-01-29-prototype-recommender-with-python/
The article shows how to build a real-time product recommender prototype in Python using Contextual Multi-Armed Bandits to simulate user behavior and validate online learning algorithms like LinUCB. It explains why bandits handle cold-start and context better than traditional models, walks through data generation, feature engineering, offline evaluation, and sets up a live simulation as ...
https://jaehyeon.me/blog/2026-01-29-prototype-recommender-with-python/
jaehyeon.me
Prototyping a Live Product Recommender with Python
Traditional recommenders struggle with cold-start users and short-term context. Contextual Multi-Armed Bandits (CMAB) continuously learns online, balancing exploitation and exploration based on real-time context. In Part 1, we build a Python prototype to…
earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
https://github.com/NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
https://github.com/NVIDIA/earth2studio
GitHub
GitHub - NVIDIA/earth2studio: Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows. - NVIDIA/earth2studio
4 Pyrefly Type Narrowing Patterns that make Type Checking more Intuitive
Learn about 4 ways Pyrefly narrows types, reducing the need to explicitly cast in your code.
https://pyrefly.org/blog/type-narrowing/
Learn about 4 ways Pyrefly narrows types, reducing the need to explicitly cast in your code.
https://pyrefly.org/blog/type-narrowing/
pyrefly.org
4 Pyrefly Type Narrowing Patterns that make Type Checking more Intuitive | Pyrefly
Learn about 4 ways Pyrefly narrows types, reducing the need to explicitly cast in your code.
redress
redress is a failure-policy library for Python services. It treats retries, circuit breakers, and stop conditions as coordinated responses to classified failure, rather than independent wrappers.
https://github.com/aponysus/redress
redress is a failure-policy library for Python services. It treats retries, circuit breakers, and stop conditions as coordinated responses to classified failure, rather than independent wrappers.
https://github.com/aponysus/redress
GitHub
GitHub - aponysus/redress: Composable, low-overhead retry policies with pluggable classification, per-class backoff strategies…
Composable, low-overhead retry policies with pluggable classification, per-class backoff strategies, and structured observability hooks. Designed for services that need predictable retry behavior a...
Learn Matplotlib in 30 Minutes
In this video, you'll learn how to use the Matplotlib library in Python. If you're interested at all in data science, AI, machine learning, or scientific computing, then Matplotlib is a must learn.
https://www.youtube.com/watch?v=7Lc2AxiM17o
In this video, you'll learn how to use the Matplotlib library in Python. If you're interested at all in data science, AI, machine learning, or scientific computing, then Matplotlib is a must learn.
https://www.youtube.com/watch?v=7Lc2AxiM17o
YouTube
Learn Matplotlib in 30 Minutes - Python Matplotlib Tutorial
👉 To learn for free on Brilliant, go to https://brilliant.org/techwithtim . Brilliant’s also given our viewers 20% off an annual Premium subnoscription, which gives you unlimited daily access to everything on Brilliant.
In this video, you'll learn how to…
In this video, you'll learn how to…
kimi-cli
Kimi Code CLI is an AI agent that runs in the terminal, helping you complete software development tasks and terminal operations. It can read and edit code, execute shell commands, search and fetch web pages, and autonomously plan and adjust actions during execution.
https://github.com/MoonshotAI/kimi-cli
Kimi Code CLI is an AI agent that runs in the terminal, helping you complete software development tasks and terminal operations. It can read and edit code, execute shell commands, search and fetch web pages, and autonomously plan and adjust actions during execution.
https://github.com/MoonshotAI/kimi-cli
GitHub
GitHub - MoonshotAI/kimi-cli: Kimi Code CLI is your next CLI agent.
Kimi Code CLI is your next CLI agent. Contribute to MoonshotAI/kimi-cli development by creating an account on GitHub.
RAG for Legacy Systems: 7,432 Pages to 3s Answers
Production RAG for legacy systems: model-agnostic reranking validated across four LLM families. Real metrics, no vendor lock-in, 7,432 pages to 3s queries.
https://clouatre.ca/posts/rag-legacy-systems/
Production RAG for legacy systems: model-agnostic reranking validated across four LLM families. Real metrics, no vendor lock-in, 7,432 pages to 3s queries.
https://clouatre.ca/posts/rag-legacy-systems/
clouatre.ca
RAG for Legacy Systems: 7,432 Pages to 3s Answers | Hugues Clouâtre
Production RAG for legacy systems: model-agnostic reranking validated across four LLM families. Real metrics, no vendor lock-in, 7,432 pages to 3s queries.
Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash
Dropbox’s VP of Engineering explains how the company built Dropbox Dash, an AI-driven cross-app search and knowledge system that uses indexing, knowledge graphs, and contextual reasoning to unify work content from many tools into a single, context-aware platform. The piece highlights engineering decisions about when to use indexed retrieval over federated approaches, how MCP tool calls a...
https://dropbox.tech/machine-learning/vp-josh-clemm-knowledge-graphs-mcp-and-dspy-dash
Dropbox’s VP of Engineering explains how the company built Dropbox Dash, an AI-driven cross-app search and knowledge system that uses indexing, knowledge graphs, and contextual reasoning to unify work content from many tools into a single, context-aware platform. The piece highlights engineering decisions about when to use indexed retrieval over federated approaches, how MCP tool calls a...
https://dropbox.tech/machine-learning/vp-josh-clemm-knowledge-graphs-mcp-and-dspy-dash
dropbox.tech
Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash
Engineering VP Josh Clemm deep-dives into how we think about knowledge graphs, indexes, MCP, and prompt optimization using tools like DSPy.
bzfs
bzfs is a reliable near real-time, parallel replication and backup command-line tool for ZFS.
https://github.com/whoschek/bzfs
bzfs is a reliable near real-time, parallel replication and backup command-line tool for ZFS.
https://github.com/whoschek/bzfs
GitHub
GitHub - whoschek/bzfs: bzfs is a reliable near real-time, parallel replication and backup command-line tool for ZFS. It replicates…
bzfs is a reliable near real-time, parallel replication and backup command-line tool for ZFS. It replicates snapshots from many local or remote source ZFS datasets (and their descendants) to local ...