Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling platform Datasaur today unveiled a new feature that ...
Startup Zyphra Technologies Inc. today debuted Zyda, an artificial intelligence training dataset designed to help researchers build large language models. The startup, which is backed by an ...
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Lisa Cohen, Google’s Director of Data Science and ...
The world of open-source software continues to let companies distinguish themselves from generative AI giants like OpenAI and Google. On Wednesday, data warehousing cloud vendor Snowflake announced an ...
Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...
A large language model (LLM), no matter its inherent architectural sophistication, is only as brilliant as the information it is fed. Businesses looking to take advantage of the potential of LLMs need ...
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
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