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Synthetic Data : Faking it until Making it

As shown above, GDPR and most regulations don't apply to each anonymized and artificial data.Nevertheless, all types of ML models fare higher on synthetic data than anonymized data making this the natural alternative for...

Contextual AI: Making Enterprise-Ready LLMs Available For All

Announcing Lightspeed’s latest investment within the AI spaceLarge language models (LLMs) have taken the world by storm in recent months, and for good reason — LLMs are uniquely suited to understand and extract insights...

Contextual AI: Making Enterprise-Ready LLMs Available For All

Announcing Lightspeed’s latest investment within the AI spaceLarge language models (LLMs) have taken the world by storm in recent months, and for good reason — LLMs are uniquely suited to grasp and extract insights...

6 Embarrassing Sklearn Mistakes You May Be Making And The right way to Avoid Them

2️⃣. Judging Model Performance Only By Test ScoresYou bought a test rating over 0.85 — do you have to be celebrating? Big, fat NO!Regardless that high test scores generally mean robust performance, there are...

Deploy ML Models with AWS Lambda & Ephemeral Storage Prerequisites 1. ML Model 2. Lambda Function 3. Docker Image 4. Infrastructure Limitations and making the Solution scalable

It's important to offer enough memory_size to the Lambda in addition to a big enough ephemeral_storage_size. Furthermore, we want to point the PYTORCH_TRANSFORMERS_CACHE directory to the /tmp directory to permit the Transformers library to...

Making property assessments so simple as snapping an image

Property assessments sit at the middle of home appraisals, insurance claims, renovation...

Making Music-Tagging AI Explainable through Source Separation

Let’s open the black boxWhy do We Need This?AI systems for music tagging have been around for quite some time. Ever because the mid-2010s, music streaming services have been competing for essentially the most...

Unlocking the Power of p-values: Making Data-Driven Decisions with Statistical Significance But what does this mean within the context of business? Let’s explore some examples...

“If the statistics are boring, you’ve got the improper numbers.” — Edward TufteIf you have got ever taken a statistics class or worked with data in a business setting, you have got likely come...

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