"Databricks' $10M Investment in DBRX AI Model Falls Short Against GPT-4"

TL;DR Summary
Databricks spent $10 million and two months training its new generative AI model, DBRX, which is optimized for English but capable of translating into multiple languages. However, the model's hardware requirements make it difficult for non-Databricks customers to use, and it falls short of OpenAI's GPT-4 in most areas. DBRX also has limitations in accuracy and multimodal capabilities, and its training data sources and potential biases are not fully disclosed. Despite Databricks' promises to refine DBRX, it faces tough competition from other generative AI models and may be a tough sell to anyone but current or potential Databricks customers.
- Databricks spent $10M on new DBRX generative AI model, but it can’t beat GPT-4 TechCrunch
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- Why the AI Hyperrealists at Databricks Spent $10 Million to Beat Meta's LLM The Information
- Databricks Unveils An AI Model That Helps Businesses Build Their Own Models Forbes
- Databricks open-sources its own large language model, DBRX SiliconANGLE News
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