Machine Learning
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Machine Learning
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Machine Learning
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LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions
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Category: AGENTIC AI
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Date: 2025-08-11 |
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Read time: 11 min read
Stop guessing your statistical test. Let this AI do it for you.
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How to Write Insightful Technical Articles
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Category: WRITING
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Date: 2025-08-08 |
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Read time: 9 min read
Learn how to write informative technical articles
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Generating Structured Outputs from LLMs
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-08 |
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Read time: 13 min read
An overview of popular techniques to confine LLMsβ output to a predefined schema
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Demystifying Cosine Similarity
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Category: DATA SCIENCE
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Date: 2025-08-08 |
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Read time: 8 min read
Mathematical intuition and practical considerations for NLP scenarios
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Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing
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Category: DATA SCIENCE
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Date: 2025-08-07 |
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Read time: 6 min read
Explore how STL uses LOESS smoothing to extract trend and seasonal components.
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Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails
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Category: AGENTIC AI
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Date: 2025-09-06 |
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Read time: 18 min read
A practical exploration of how guardrails safeguard multi-agent systems in Python using OpenAI Agents SDK,β¦
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Agentic AI: On Evaluations
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-07 |
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Read time: 16 min read
Metrics to track for RAG and agents, plus the frameworks that help
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Finding Golden Examples: A Smarter Approach to In-Context Learning
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Category: LLM APPLICATIONS
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Date: 2025-08-07 |
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Read time: 7 min read
From random example selection to systematic AuPair generationβ β how to make your LLM prompts actuallyβ¦
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The Channel-Wise Attention | Squeeze and Excitation
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Category: DEEP LEARNING
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Date: 2025-08-07 |
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Read time: 22 min read
Applying the Squeeze and Excitation module on ResNeXt using PyTorch
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The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-06 |
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Read time: 30 min read
Unless youβre someone who lives and breathes cybersecurity, chances are you didnβt think much aboutβ¦
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How I Won the βMostly AIβ Synthetic Data Challenge
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Category: MACHINE LEARNING
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Date: 2025-08-06 |
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Read time: 8 min read
A deep dive into how post-processing can supercharge synthetic data generation
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The Machine, the Expert, and the Common Folks
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Category: DATA SCIENCE
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Date: 2025-08-06 |
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Read time: 15 min read
A look at noise, consistency and broken legs
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InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI
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Category: LARGE DATA MODELS
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Date: 2025-08-06 |
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Read time: 8 min read
Learn how InfiniBand and RoCEv2 enable high-speed GPU communication
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Context Engineering β A Comprehensive Hands-On Tutorial with DSPy
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-05 |
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Read time: 18 min read
Letβs dissect the art and science of context engineering, one module at a time!
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Things I Wish I Had Known Before Starting ML
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Category: MACHINE LEARNING
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Date: 2025-08-05 |
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Read time: 6 min read
Part 2: Guardrails, research code, reading
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How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-05 |
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Read time: 10 min read
Welcome to the 21st century by the hand of large language models and reasoning AIβ¦
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Stellar Flare Detection and Prediction Using Clustering and Machine Learning
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Category: MACHINE LEARNING
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Date: 2025-08-05 |
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Read time: 11 min read
Combining unsupervised clustering with supervised learning to detect and predict stellar flares
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Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)
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Category: DATA SCIENCE
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Date: 2025-08-05 |
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Read time: 17 min read
Letβs observe the matter on the atomic level
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Mechanistic View of Transformers: Patterns, Messages, Residual Stream⦠and LSTMs
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-05 |
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Read time: 7 min read
What happens when you stop concatenating and start decomposing: a new way to think aboutβ¦
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From Data Scientist IC to Manager: One Year In
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Category: DATA SCIENCE
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Date: 2025-08-04 |
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Read time: 9 min read
Three pillars that shaped my first year in data science managementβ-βprioritization, empowerment, and recognition
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