Nicolay Gerold

1. Streamlining data exploration and analysis:

• Context-Aware Suggestions: Receive AI-powered suggestions for relevant tools, functions, and libraries based on your specific dataset and analysis goals.


• Contextual search for functions and libraries: Quickly find relevant functions and libraries from various programming languages, such as Python and R,

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Going back to Excel and shifting my metaphor up a level, today ChatGPT sometimes seems more like the original PCs than like Excel (or VisiCalc). It’s a general purpose technology, there’s a command line, and some stuff that’s theoretically magic, and a few things that are extremely useful to a few people, but we don’t yet have the richness of all... See more

🐂 What is Oxen?

Oxen is a lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

The interface mirrors git, but shines in many areas that git or git-lfs fall short. Oxen is built from the ground up for data, and is optimized to handle large... See more

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.

The core features of SGLang include:

• A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple

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Temperature is the signal by which the circadian clock entrails all cells and tissue to be on the same schedule.

Hiring developers is a lot like building an NFL team.

You can draft fresh college graduates for a very low cost.

Not every college grad will make it to the big leagues.

Some will be superstars in the first week.

Your team needs to be a balance of college grads and veterans.

You can't afford a team of nothing but veterans.

You also don't need... See more

Learning: what aspect of my nervous system (emotion, perception, sensations) am I trying and are available to change? How to structure the change?

𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗼𝗳 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝗮𝗻 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠 𝗲𝘅𝗶𝘀t ↓

- 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘦𝘥 𝘱𝘳𝘦-𝘵𝘳𝘢𝘪𝘯𝘪𝘯𝘨: utilize domain-specific data to apply the same pre-training process (next token prediction) on the pre-trained (base) model

- 𝘐𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘪𝘰𝘯 𝘧𝘪𝘯𝘦-𝘵𝘶𝘯𝘪𝘯𝘨: the pre-trained (base) model is fine-tuned on a Q&A dataset to learn to answer questions

- 𝘚𝘪𝘯𝘨𝘭𝘦-𝘵𝘢𝘴𝘬 𝘧𝘪𝘯𝘦-𝘵𝘶𝘯𝘪𝘯𝘨: the... See more

Better living through chemistry still requires better living.