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dev.to > scorder > i-made-an-llm-visibility-tool-5il

I made an LLM visibility tool

30+ min ago  (237+ words) LLM Eagle is an AI visibility optimization tool for SaaS, built for developers and indie hackers. I took on this project not just because: But it's also because I am genuinely excited for this under-explored opportunity. It started with a…...

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dev.to > alexmercedcoder > conceptual-logical-and-physical-data-models-explained-h10

Conceptual, Logical, and Physical Data Models Explained

1+ hour, 22+ min ago  (639+ words) Most data teams jump straight from a stakeholder request to creating database tables. They skip the planning steps that prevent misalignment, redundancy, and rework. The result: tables that make sense to the engineer who built them but confuse everyone else....

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dev.to > gwynnemichele > i-did-my-first-small-data-analysis-project-last-night-im-hooked-2cg6

I Did My First Small Data Analysis Project Last Night: I'm Hooked

1+ hour, 32+ min ago  (353+ words) I got a smart watch the other day. And it occurred to me it would be useful to have access to that data as I progress along my coding learning path, which includes learning some data analysis. What better data…...

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dev.to > buildsyncinc > i-built-a-rag-system-where-hallucinations-arent-acceptable-heres-what-actually-worked-b2e

I built a RAG system where hallucinations aren't acceptable. Here's what actually worked.

1+ hour, 38+ min ago  (737+ words) I work in construction during the day. At night, I build software. Five weeks ago, I started building Gibs " an API that answers questions about EU regulations (DORA, AI Act, GDPR) and returns the answer with a direct citation to…...

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dev.to > rijultp > understanding-rnns-part-3-unrolling-a-recurrent-neural-network-3ngd

Understanding RNNs – Part 3: Unrolling a Recurrent Neural Network

3+ hour, 51+ min ago  (197+ words) In the previous article, we passed some values to the RNN and obtained the output. Now, to make it easier to understand as we include more inputs, we need to unroll the neural network. When unrolled, it looks like this....

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dev.to > brittany_37606c0775530a57 > machine-learning-starts-with-a-where-clause-52da

Machine Learning Starts With a WHERE Clause

1+ day, 18+ hour ago  (338+ words) " Intro (Systems-Level Tone) Most people think machine learning starts with a model. It starts with a query. Someone writes a WHERE clause. And that clause quietly decides what the model is allowed to learn. " SQL Is Architectural " Not Just Operational…...

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dev.to > paulojr_r > d3js-nao-deveria-saber-de-onde-vem-os-dados-39ao

D3.js não deveria saber de onde vêm os dados

4+ day, 10+ min ago  (542+ words) Quando come'amos a trabalhar com visualiza'o de dados, " comum pensar que o maior desafio est" no front-end, especialmente na escolha da biblioteca ou na constru'o dos gr"ficos. Esse problema apareceu numa reunio de trabalho onde a normaliza'o no front-end…...

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dev.to > javadinteger > advanced-gpu-optimization-metal-vulkan-compute-from-zero-to-hero-part-2-1inn

Advanced GPU Optimization: Metal & Vulkan Compute from zero to hero - Part 2

4+ day, 1+ hour ago  (995+ words) Welcome back, GPU programming experts! You've mastered the fundamentals of Metal and Vulkan compute. Now it's time to explore the advanced features that truly unlock the power of modern GPUs. In this comprehensive guide, we'll dive deep into: By the…...

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dev.to > javadinteger > advanced-gpu-optimization-metal-vulkan-compute-from-zero-to-hero-4cfg

Advanced GPU Optimization: Metal & Vulkan Compute from zero to hero

4+ day, 1+ hour ago  (1068+ words) Whether you're a macOS/iOS developer wanting to leverage the Neural Engine and GPU on Apple Silicon, or a cross'platform developer aiming for maximum performance on Windows, Linux, or Android, this tutorial has you covered. Metal is Apple's graphics and…...

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dev.to > javadinteger > advanced-gpu-optimization-cuda-hip-from-zero-to-hero-1dle

Advanced GPU Optimization: CUDA & HIP from zero to hero

4+ day, 2+ hour ago  (1252+ words) Before we write any code, we need a working CUDA development environment. You should see the CUDA version. Also run nvidia-smi to check driver and GPU status. Now you're ready to compile CUDA code with nvcc. A GPU contains hundreds…...