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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy. Create a dataset through data mining.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy. Create a dataset through data mining.

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article thumbnail

Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy. Create a dataset through data mining.

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10 takeaways from 10 years of data science for social good

DrivenData Labs

The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution. Deep learning - It is hard to overstate how deep learning has transformed data science. Data science processes are canonically illustrated as iterative processes.