Talk Data to Me @talkdatatomee
#DataScience, #Statistics, #R, #Python #DataViz #MachineLearning #DeepLearning even #MLOps Joined January 2016-
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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…
when you implement an ERP system but still need excel
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],…
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
Now you can use the entrypoint syntax with the FastAPI CLI 🚀 (fastapi-cli version 0.0.11) Thanks @patrick91! 🙌
ML Zoomcamp starts September 15, in less than one week. And it has already gathered 8,500 registrations! Here's what signing up for this cohort gives you:
Is your RAG system a paperweight? It is if it can't handle a simple follow-up question. Building basic RAG is easy. The real challenge is engineering systems that go beyond simple retrieval and actually do more with your data. This is how you build a RAG pipeline that can…
Extract custom entities instantly with GLiNER (zero-shot NER)! While spaCy provides excellent NER capabilities, its models need retraining for new entity types, which requires collecting training data, labeling examples, and running expensive model fine-tuning. This means weeks…
Python Clean Code Tip: When your module becomes too big you can restructure it to a package while keeping all the imports from the module as they were. Example 👇
Microservices vs Monoliths What is a Monolith? A monolithic architecture is a single, unified application where all components (UI, business logic, database access) are tightly coupled and run as one unit. Characteristics of Monoliths → Single codebase and deployment. → All…

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