A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding.
The post Kimi K3βs 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality appeared first on Towards Data Science.
Conceptual overview and walkthrough of a solution approach in Python
The post Jigsaw Jeeves: Building a Puzzle Assistant using Computer Vision appeared first on Towards Data Science.
A small experiment in remote SQL execution
The post Running SQL Concurrently Across Three Remote DuckDB Servers withΒ Quack appeared first on Towards Data Science.
A preprocessing pipeline let my car price model peek at the test set before the exam, and the twelve points of R squared it cheated its way to
The post My Model Was Cheating on Its Own Test appeared first on Towards Data Science.
Can a language model do live adversarial level design? Yes, emphasis on the adversarial part
The post I Made an LLM Lay Siege to My Minecraft House appeared first on Towards Data Science.
A reproducible Lagos case study with population data, transport access, and airspace constraints
The post How to Place Vertiport Locations in Any City Using Geospatial Machine Learning appeared first on Towards Data Science.
Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media processing, and remote operations. A system may capture several cameras, decode network streams, run AI inference or conventional vision processing, draw results, and encode video for storage or delivery. The individual calls areβ¦
Not all Python data libraries are created equal!
The post Should AI Developers Make the Switch from Polars to Pandas? appeared first on Towards Data Science.
Building a production-ready web interface for a stateful LangGraph agent
The post Building a Streamlit UI for My LangGraph AI Agent appeared first on Towards Data Science.
From Static Plots to Interactive Data Exploration
The post Matplotlib vs Plotly: Which Python Chart Tool Should YouΒ Choose? appeared first on Towards Data Science.
Faster dataframe engines are nice, but they don't reduce the amount of syntax an analyst has to hold in their head.
The post The Problem with pandas Isnβt Performance. Itβs Cognitive Overhead. appeared first on Towards Data Science.
A practical guide to Bronze, Silver and Gold, with a working Python and DuckDB example
The post The Medallion Data Architecture: An Introduction appeared first on Towards Data Science.
Create a local CLI Agent from scratch completely for free
The post How to Build CLI Agents with Python & Ollama appeared first on Towards Data Science.
NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users...NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users access to CUDA-X performance for common math operations without disrupting existing workflows. Depending on the API, operations can run on a CPU, CUDA-enabled GPU, or distributed multi-GPU, multi-node systems.
Building an ALNS heuristic in Python for vehicle routing, time windows, capacity constraints, and mandatory driver breaks.
The post Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search appeared first on Towards Data Science.
You "vibe coded" the import. Understand Adam's optimization dynamics, why it fails spectacularly, and how to fix it.
The post Donβt Just βThrow Adam at Itβ: Misunderstanding Adam Will Cost You appeared first on Towards Data Science.
Using mathematical optimization to solve a pickup-and-delivery problem with time windows.
The post βLos Movimientosβ: The Routing Problem That Nearly Broke My Spirit appeared first on Towards Data Science.
In a world where human time is expensive, learn how to use it only when really necessary
The post Reducing Human Annotation with ML Active Learning appeared first on Towards Data Science.
Building a great AI agent isnβt just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes...Building a great AI agent isnβt just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes actions, manages state, and decides when a task is done shapes outcomes just as much as the model itself. Harness design alone can account for double-digit swings in benchmark results and significant differences in token costβ¦
Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a...Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a few challenges. It requires infrastructure, technical expertise, and software specific to the workflow, as well as resources such as GPUs and the ability to use them effectively. It also depends on specialized domain knowledge: Whatβ¦
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