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Developing AI-powered predictive models for real-world data typically requires expertise in data science, familiarity with machine learning (ML) algorithms, and a solid understanding of the model’s...
Code generation — automatically translating natural-language specifications into computer code — is one of the most promising applications of large language models (LLMs). But the more...
The 2024 Conference on Neural Information Processing Systems (NeurIPS) — the premier conference in the field of AI — begins today, and the Amazon papers accepted...
One of the ways that Amazon Web Services (AWS) helps customers maintain the security of their cloud environments is with AWS Security Hub, which aggregates, organizes,...
Large language models (LLMs) have come to dominate the field of natural-language processing, so it’s no surprise that they also dominate the research that Amazon scientists...
Large language models for code are models pretrained on source code rather than natural-language texts. They’re remarkably good at completing the code for arbitrary program functions...
This post is an adaptation of a keynote address that Leo de Moura delivered at the International Conference on Computer Aided Verification (CAV), in July 2024....
The documents used to train a large language model (LLM) are typically concatenated to form a single “superdocument”, which is then divided into sequences that match...
At this year’s International Conference on Learning Representations (ICLR), Amazon CodeWhisperer — the automatic-code-generation service from Amazon Web Services — is sponsoring the second Workshop on...