Tag: ai/ml

Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning, and vision. However, these networks often use large architectures that require lots of computational resources. This can make it impractical to serve such …

Read more “Neural network pruning with combinatorial optimization”

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker, a fully managed ML service, with requirements to develop features offline in a code …

Read more “Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift”

MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve multiple complex steps. Therefore, it’s important …

Read more “Unlocking efficiency: Harnessing the power of Selective Execution in Amazon SageMaker Pipelines”

How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development Recently, numerous open-source large language models (LLMs) have been launched. These powerful models hold great potential for a wide range of applications. However, one major challenge that arises is the limitation of resources when it comes to testing these …

Read more “How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot…”

Posted by Eltayeb Ahmed, Research Engineer, and Subhrajit Roy, Senior Research Scientist, Google Research Reading has many benefits for young students, such as better linguistic and life skills, and reading for pleasure has been shown to correlate with academic success. Furthermore students have reported improved emotional wellbeing from reading, as well as better general knowledge …

Read more “STUDY: Socially aware temporally causal decoder recommender systems”