Amazon’s papers on International Conference on Machine Learning (ICML) Lean – as the conference as a whole – against the theoretical. Although some papers deal with important applications for Amazon, such as anomaly detection and automatic speech recognition, they are most concerned with more-general items related to machine learning, such as responsible AI and transfer … Read more
The documents used to train a large language model (LLM) are typically linked to forming a single “super document”, which is then divided into sequences, as the model’s context length. This improves exercise efficiency, but often results in unnecessary trunkings where individual documents are divided across successive sequences. Related content Coherent parameter handling and prior … Read more
Until the recent, astonishing success of large language models (LLMS), research into dialogue-based AI systems pursued two main strikes: chatbots or agents capable of open conversation, and task-oriented dialogue models whose goal was to extract arguments for APIs and Complete tasks on behalf of the user. LLMS has enabled huge progress with the first challenge, … Read more
Amazon is looking for a passionate, talented and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide Amazon customers with a delightful experience by pushing the boundaries of Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning … Read more