GoSquared

Is natural capital boring and obsolete, or an under-served and under-appreciated asset class that will explode in relevance in the future, just as NFTs have?

Natural Capital in the Digital Economy: Green Squared 

At a recent Berkshire Hathaway annual conference, superstar investors Warren Buffett and Charlie Munger came out and doubled down on their claims that cryptocurrencies, specifically Bitcoin, are “rat poison squared.” They even went so far as to compare cryptocurrencies to animal droppings.

Warren Buffet Calls Bitcoin “Rat Poison Squared” — Don’t Believe Him

Embedding is a crucial and fundamental step towards building a Retrieval Augmented Generation(RAG) pipeline. BERT & SBERT are state-of-the-art embedding models.

Embeddings for RAG - A Complete Overview

Discover gradient descent and its variants, including Adam optimizer. Learn how Adam simplifies machine learning optimization with efficiency and adaptability!

Extending Stochastic Gradient Optimization with ADAM

This paper evaluates ADA's performance on in-distribution generalization tasks, comparing it to C-Mixup, Mixup, and other strategies.

ADA Outperforms ERM and Competes with C-Mixup in In-Distribution Generalization Tasks

Pattern matching allows for more intuitive and readable conditional logic by enabling the matching of complex data structures with minimal code.

Leveraging Python's Pattern Matching and Comprehensions for Data Analytics

Scoutlabs is addressing the intersection of food insecurity, climate change, and sustainable farming with the worlds densest digital insect trap network.

Meet Scoutlabs, Startups of the Year 2024 Nominee

Explore innovations in Automated Essay Scoring (AES), using models like Longformer and multi-task learning to address challenges in cohesion, grammar, and more.

Automated Essay Scoring Using Large Language Models

GoSquared makes elegant software to help anyone start and grow a SaaS business

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GOSQUARED

gosquared.com

employees

Since n.d.

COMPANY RANKING

GOSQUARED

EVERGREEN INDEX #5764

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