In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including…
Machine Learning
In the rapidly evolving world of AI, the ability to customize language models for specific industries has become more important.…
The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host…
In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale…
Natural Language to SQL (NL2SQL) technology has emerged as a transformative aspect of natural language processing (NLP), enabling users to…
The machine learning community faces a significant challenge in audio and music applications: the lack of a diverse, open, and…
We present Recurrent Drafter (ReDrafter), an advanced speculative decoding approach that achieves state-of-the-art speedup for large language models (LLMs) inference.…
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Large Language Models…
Understanding biomolecular interactions is crucial for fields like drug discovery and protein design. Traditionally, determining the three-dimensional structure of proteins…
Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for…
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks.…
Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still,…
In recent times, Retrieval-augmented generation (RAG) has become popular due to its ability to solve challenges using Large Language Models,…
Identifying gene deletion strategies for growth-coupled production in genome-scale metabolic models presents significant computational challenges. Growth-coupled production, which links cell…
Recommender systems have been widely applied for studying user preferences; however, they face significant challenges in accurately capturing user preferences,…
This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that…
Recent enhancements in the field of generative AI, such as media generation technologies, are rapidly transforming the way businesses create…
The field of artificial intelligence is advancing rapidly, yet significant challenges remain in developing and applying AI systems, particularly in…
Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making…
This post is co-written with Vladimir Turzhitsky, Varun Kumar Nomula and Yezhou Sun from MSD. Generative AI is transforming the…