Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Things we readily use
There are a few types of k8s resources we use without hesitation. I’m only listing resources here that we create explicitly; most of these resources implicitly create other resources (like Pods) that I will not mention but which we of course (indirectly) use.
There are a few types of k8s resources we use without hesitation. I’m only listing resources here that we create explicitly; most of these resources implicitly create other resources (like Pods) that I will not mention but which we of course (indirectly) use.
- Deployments : Most of our pods are created through deployments.
The hater’s guide to Kubernetes
dasel
Dasel (short for data-selector) allows you to query and modify data structures using selector strings.
Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.
One tool to rule them all
Say good bye to learning new tools just to work with a different data format.
Dasel uses a standard selector syntax no... See more
Dasel (short for data-selector) allows you to query and modify data structures using selector strings.
Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.
One tool to rule them all
Say good bye to learning new tools just to work with a different data format.
Dasel uses a standard selector syntax no... See more
Tom Wright • GitHub - TomWright/dasel: Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a...
- Scalability is crucial - systems need to be designed with the assumption that query volume, document corpus size, indexing complexity etc. could increase by 10x. What works at one scale may completely break at a higher scale.
- Sharding the index, either by document or by word, is important to distribute the indexing and querying load across machines.
Claude
Puter
Puter is an advanced open-source desktop environment in the browser, designed to be feature-rich, exceptionally fast, and highly extensible. It can be used to build remote desktop environments or serve as an interface for cloud storage services, remote servers, web hosting platforms, and more.
Getting Started
git clone... See more
Puter is an advanced open-source desktop environment in the browser, designed to be feature-rich, exceptionally fast, and highly extensible. It can be used to build remote desktop environments or serve as an interface for cloud storage services, remote servers, web hosting platforms, and more.
Getting Started
git clone... See more
HeyPuter • GitHub - HeyPuter/puter: The Internet OS!
What’s the best way for an end user to organize and explore millions of latent space features?
I’ve found tens of thousands of interpretable features in my experiments, and frontier labs have demonstrated results with a thousand times more features in production-scale models. No doubt, as interpretability techniques advance, we’ll see feature maps... See more
I’ve found tens of thousands of interpretable features in my experiments, and frontier labs have demonstrated results with a thousand times more features in production-scale models. No doubt, as interpretability techniques advance, we’ll see feature maps... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Connect external data
to LLMs , no matter the source.
The universal retrieval engine for LLMs to access unstructured data from any source.
to LLMs , no matter the source.
The universal retrieval engine for LLMs to access unstructured data from any source.
Carbon | Data Connectors for LLMs
Neuro modulators bias which neurons are likely to be active and which are not active (kind of like a playlist that plays only particular „moods“ or genres). It makes certain circuits more or less active. Chemical systems like neuro-modulators have a lot of receptors, which behave like parking spots. Once the chemical attaches to the receptor it... See more
Andrew Huberman • How Your Brain Works & Changes
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:
The core features of SGLang include:
- A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple
sgl-project • GitHub - sgl-project/sglang: SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.
Prompting and Controllable Generation
They have a fast jsond ecoding feature with a finite state machine.
GPT-4 Turbo can accept images as inputs in the Chat Completions API, enabling use cases such as generating captions, analyzing real world images in detail, and reading documents with figures. For example, BeMyEyes uses this technology to help people who are blind or have low vision with daily tasks like identifying a product or navigating a store.... See more