Emerging technologies in LLMOps
The following technologies are being iterated and perfected to address the technological advancements that come with LLM developments.
Automated Machine Learning (AutoML)
Automated Machine Learning (AutoML) is improving the development and tuning of LLMs by streamlining model selection, composition, and parameterization. This technology significantly accelerates the development cycle of LLMs, allowing developers to reduce the time spent on iterative tuning and focus more on strategic aspects of model deployment. AutoML enables even those without deep expertise in data science to develop competitive models, effectively democratizing advanced AI capabilities across various sectors.
Integration of AutoGPT and Distilabel in AutoML
Recent advancements such as AutoGPT extend the capabilities of AutoML specifically within the field of generative pre-trained transformers. AutoGPT automates the process of generating LLMs tailored for specific use...
