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πŸ“Œ How to Query a Knowledge Graph with LLMs Using gRAG

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 28 min read

Google, Microsoft, LinkedIn, and many more tech companies are using Graph RAG. Why? Let’s understand…
πŸ“Œ Operational and Analytical Data

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

What is the difference and how should we treat data in the enterprise?
πŸ“Œ Rethinking LLM Benchmarks: Measuring True Reasoning Beyond Training Data

πŸ—‚ Category: APPLE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 6 min read

Apple’s New LLM Benchmark, GSM-Symbolic
πŸ“Œ Watermarking for AI Text and Synthetic Proteins: Fighting Misinformation and Bioterrorism

πŸ—‚ Category:

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

Understanding AI applications in bio for machine learning engineers
πŸ“Œ An Illusion of Life

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

Could existing AI possibly be sentient? If not, what’s missing?
πŸ“Œ Beyond Math and Python: The Other Key Data Science Skills You Should Develop

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Optimizing the Data Processing Performance in PySpark

πŸ—‚ Category:

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 10 min read

PySpark techniques and strategies to tackle common performance challenges: A practical walkthrough
πŸ“Œ Random Forest, Explained: A Visual Guide with Code Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 15 min read

Making tree-mendous predictions with random trees
πŸ“Œ Tracing the Transformer in Diagrams

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 17 min read

What exactly do you put in, what exactly do you get out, and how do…
πŸ“Œ Adopting Spark Connect

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 19 min read

How we use a shared Spark server to make our Spark infrastructure more efficient
πŸ“Œ MIT Battlecode Reflections: A First-Time Finalist’s Takeaways

πŸ—‚ Category: GAMING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 18 min read

Key Takeaways from a First-Time Contestant
✨ Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration ✨

πŸ“– Table of Contents Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration Why vLLM for Multimodal Inference The Challenges of Serving Image + Text Prompts at Scale Why Vanilla Approaches Fall Short How vLLM Solves Real-World Production Workloads Configuring Your…...

🏷️ #DeepLearning #ModelDeployment #Tutorial #vLLM
πŸ“Œ An Introduction to VLMs: The Future of Computer Vision Models

πŸ—‚ Category:

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 13 min read

Building a 28% more accurate multimodal image search engine with VLMs.
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πŸ“Œ Kickstart Your Data Science Journey – A Guide for Aspiring Data Scientists

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 19 min read

Key Technical Skills You Need to Kick-start Your Career in Data Science
πŸ“Œ Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 8 min read

Can ML models learn to construct optimal customer journeys?
πŸ“Œ The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-22 | ⏱️ Read time: 25 min read

Is it possible to build a perfect induction machine?
πŸ“Œ Predict Housing Price using Linear Regression in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 16 min read

A walk-through of cost computation, gradient descent, and regularization using Boston Housing dataset
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πŸ“Œ Easy Hurricane Tracking with Tropycal

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 8 min read

A great Python package for storm analysis
πŸ“Œ User Studies for Enterprise Tools: HCI in the Industry

πŸ—‚ Category:

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 8 min read

Insights as an HCI research scientist in an industry catered to building tooling for enterprises
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πŸ“Œ Forecasting the Future: How Can We Predict Tomorrow’s Demand Using Yesterday’s Insights?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-05 | ⏱️ Read time: 13 min read

Demand planners and other company stakeholders use forecasts to anticipate future needs and adjust supply…