Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Amazon SageMaker Feature Store is a fully managed repository designed specifically for storing, sharing, and managing ML model features. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain, which offers modules for... See more
Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services
Incorporate checklist to ensure external accountability. They help people Safe cognitive resources for unexpected aspects.
Andrew Huberman • Understand & Improve Memory Using Science-Based Tools
Build & Deployments
Our build process starts by pushing changes to a repository on GitHub. When code is pushed to a repository through a pull request, it triggers a job to build the changes made to the branch and deploy them in isolation. This worklow happens interactively within the pull request, where the author has visibility of all steps.
Some... See more
Our build process starts by pushing changes to a repository on GitHub. When code is pushed to a repository through a pull request, it triggers a job to build the changes made to the branch and deploy them in isolation. This worklow happens interactively within the pull request, where the author has visibility of all steps.
Some... See more
How we approach CI/CD · Resend
Exon is an analysis toolkit for life-science applications. It features:
- Support for many file formats from bioinformatics, proteomics, and others
- Local filesystem and object storage support
- Arrow FFI primitives for multi-language support
- SQL based access to bioinformatics data -- general DML and some DDL support
wheretrue • GitHub - wheretrue/exon: Exon is an OLAP query engine specifically for biology and life science applications.
Why did we start training daily? As far as I’m aware, we wanted to start simple—we could just have a single batch job that processes new data and we wouldn’t need to worry about separate retraining schedules. You don’t really need to worry about if your model has gone stale if you’re retraining it every day.
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
Optimize Your Learning & Creativity with Science-based Tools
hubermanlab.com
4. Introducing Stable LM 3B: Bringing Sustainable, High-Performance Language Models to Smart Devices
Stability AI introduced Stable LM 3B, a high-performing language model designed for smart devices. With 3 billion parameters, it outperforms state-of-the-art 3B models and reduces operating costs and power consumption. The model enables a broader... See more
Stability AI introduced Stable LM 3B, a high-performing language model designed for smart devices. With 3 billion parameters, it outperforms state-of-the-art 3B models and reduces operating costs and power consumption. The model enables a broader... See more
This AI newsletter is all you need #68
Go to a few weird, niche conferences a year outside of your expertise.
Shaan Puri • My First Million on Apple Podcasts
Jack Dorsey: great ability to sit back and listen, not inflicting opinions and judgments, questions to lead towards the key mission and values of the company.