The article discusses the importance of maintaining and optimizing AI models, drawing parallels to the upkeep of a vehicle. With the increasing use of generative Artificial Intelligence (gen-AI) and Large Language Models (LLMs), it is crucial to ensure that these models are operating at peak performance. The concept of Model Cascade with Mixture of Thought (MoT) is introduced as a novel approach to testing the roadworthiness of AI models.
The Model Cascade approach involves using multiple LLMs in sequence, routing queries based on complexity and cost. By leveraging different LLMs for varying levels of questions, organizations can save costs and improve performance. The study by researchers from George Mason University, Microsoft, and Virginia Tech demonstrates a method to assess LLM responses efficiently, reducing costs significantly.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.