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 subscription, 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.