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A bottleneck in fine-tuning large language models for software engineering is building a dataset that can show them how to edit code, search for subroutines, write test scripts, control a terminal, manage a file system, and so on. Researchers built a pipeline that produces such data automatically.
Generated video clips are capturing eyeballs in viral videos, ad campaigns, and a Netflix show.
India, which has limited funding and large numbers of languages and dialects, is redoubling its efforts to build native large language models.
OpenAI launched GPT-5, the highly anticipated successor to its groundbreaking series of large language models, but glitches in the rollout left many early users disappointed and frustrated.
Just as many businesses are transforming to become more capable by using AI, universities are too.
The Batch AI News and Insights: Just as many businesses are transforming to become more capable by using AI, universities are too.
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