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Top 10 Python Libraries for Generative AI You Need to Master in 2025 (The tools behind document agents, intelligent assistants, and next-gen interfaces.) Everything you need to know: 🧵
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Introducing Pepper🌶️! An open-source, real-time, event-driven architecture to power the next generation of proactive agents. Tired of static reactive chatbots? Pepper enables agents that anticipate your needs, actively engage, and work continuously in the background (think…
Exciting news! Join our AI Dev Tools Zoomcamp starting November 18, 2025! Learn how to use AI assistants, agents, and automation in real development work. It's free, online, and hands-on - just like all our Zoomcamps! 1/3
Transform Python code into beautiful math formulas with latexify 🚀 It is not ideal to present mathematical formulas written in Python code to executives and stakeholders, as they are often not familiar with Python code. However, writing LaTeX manually to show the formulas is…
Unpopular opinion: Software engineering is the only job where the interview is harder than the actual job Interview: Design a distributed system for 10M users Job: The login button moved 2 pixels, please fix
Microsoft Authenticator just asked me to sign in with Microsoft Authenticator
Preserve semantic meaning in RAG document chunks with LangChain's RecursiveCharacterTextSplitter! RAG (Retrieval-Augmented Generation) applications require splitting documents into smaller chunks for processing. However, basic text splitting breaks semantic meaning, making your…
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I'm giving away free spots to my new paid course: AI Bootcamp: From RAG to Agents Winners will be selected on Wednesday, Sept 17 Check this form for more details: forms.gle/nBC8kyGPeekYxK…
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🚨🚨🚨 We've been tracking what appears to be the largest npm compromise in history over the past 24 hours, and it's still unfolding. Our monitoring infrastructure just detected that @DuckDB has also been compromised. Malicious packages including @duckdb/[email protected],…
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Gold Production by Region: Visualized 🥇 elements.visualcapitalist.com/gold-productio…
According to Ray Dalio, the easiest way to adjust for risk is to seek uncorrelated returns. Ray's made billions from a simple idea. Here's how to do it in a few lines of Python code:
Embeddings & Positional Encoding in LLMs. Embeddings → Definition Convert discrete tokens (words, subwords, characters) into dense vectors in continuous space. → Process Text → Tokenization → Embedding Matrix Lookup → Vector Representation → Purpose ✓ Captures…
I prefer this format
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