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Our picks
Building better enterprise AI: incorporating expert feedback in system development
Enterprises that aim to build valuable GenAI applications must view them from a systems-level. LLMs are just one part of an ecosystem.
January 30, 2024
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All articles on Data development
How to tackle advanced classification challenges using Snorkel Flow
When done right, advanced classification applications cultivate business value and automation, unlock new business lines, and reduce costs.
December 14, 2023
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How to scale chatbot development with Google Dialogflow and Snorkel Flow
A brief guide on how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking
December 12, 2023
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How predictive AI + generative AI build amazing document understanding
A proof-of-concept project that combines predictive AI + generative AI to minimize LLM’s risks while keeping their advantages.
December 5, 2023
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Enterprise LLM challenges and how to overcome them
Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key.
November 16, 2023
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How to fine-tune large language models for enterprise use cases
LLMs have a broad but shallow knowledge, but fall short on specialized tasks. For best performance, enterprises must fine tune their LLMs.
November 2, 2023
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Two approaches to distill LLMs for better enterprise value
Distillation techniques allow enterprises to access the full predictive power of large language models at a tiny fraction of their cost.
October 31, 2023
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Data labeling: a practical guide (2024)
Data labeling remains a core requirement for machine learning projects—especially in the age of genAI and LLMs. Here’s a handy guide.
September 29, 2023
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