Nicolay Gerold

“Writing shows up within a company in two primary ways: paper trails and curations.

Paper trails are documented accounts of what happened, typically produced in the run of work while it’s happening. Meeting notes are the most obvious example.

Curations are artifacts of work produced to contribute to the system of shared knowledge. These are typically... See more

Setting up the necessary machine learning infrastructure to run these big models is another challenge. We need a dedicated model server for running model inference (using frameworks like Triton oder vLLM), powerful GPUs to run everything robustly, and configurability in our servers to make sure they're high throughput and low latency. Tuning the... See more

The LLM doesn’t call the tool directly (yet), but it does pass back to the application what functions should be called — and with which parameters. And, now, OpenAI lets multiple function calls be “invoked” at once.

But, this idea is not just about GPT. The open source world is moving towards this model as well.

This Is The Future…It’s Just Not Here... See more

The best vertical AI solutions will be like a functional worker who is also a team player: expert in their core task (summarization, for instance), but also diligent in updating the horizontal systems of record that the broader organization relies on

The what and why of Dagster#

Welcome to Dagster! If you’re here, you probably have questions about data, orchestration, Dagster, and how everything fits together.

Let’s start with the basics: What’s an orchestrator?

Orchestrators allow you to automatically execute a series of steps and track the results. They not only enable you and your team to see... See more

Bombesin: Stress liberates bombesin, which reduces eating.

Who will this data model serve? These are the stakeholders and users of the data model.

Why does this data model need to be built? What is the purpose and objective of the data model?

What are the data model’s core entities, attributes, and relationships? This is where you learn to see the business through the lens of data.

When is the timeframe for... See more

LLMs augment software products in two fundamental ways – they enable:

i) better understanding and processing of unstructured data;

ii) more scalable creation of content and work product.

RedPajama-V2 is an open dataset for training large language models. The dataset includes over 100B text

documents coming from 84 CommonCrawl snapshots and processed using

the CCNet pipeline. Out of these, there are 30B documents in the corpus

that additionally come with quality signals. In addition, we also provide the ids of duplicated documents... See more