Nicolay Gerold

Glutamine also reduces sugar craving by increasing blood sugar levels. Emulsifiers strip away the mucosal lining of the blood and cause the neurons to retract deeper into the tract. This stops the triggering of CCK signals. They also increase the neurons measuring sugar and trigger dopamine in the brain. This can lead to an overcompensation effect... See more

Indexify is a reactive structured extraction engine for un-structured data.

Applications leveraging LLMs for autonomous planning or queries necessitate timely index updates aligned with data changes or new extraction methods. Indexify enables both, by applying feature extractors on data in real-time and updating one or many indexes.

Why use Indexify... See more

How can we make interacting with conversational models feel more natural?

Every conversational interface to a language model adopts the same pattern:

A chat history sidebar, with each conversation lasting just a few turns

New sessions always begin in a brand-new thread

Every user query must always elicit exactly one response

None of these assumptions... See more

Welcome to Papertube! 🎥➡️📖

Turn any YouTube podcast, TED Talk, or chat into easy-to-read text with real speaker names. Read it here or send it to your Kindle!

SQLite Studio

Single binary, single command SQLite database explorer.

sqlite-studio <sqlite_db>

Features

• Overview page with common metadata.


• Tables page with each table's metadata, including the disk size being used by each table.


• Infinite scroll rows view.


• A custom query page that gives you more access to your db.

More features available on the r... See more

Fine-Tuning for LLM Research by AI Hero

This repo contains the code that will be run inside the container. Alternatively, this code can also be run natively. The container is built and pushed to the repo using Github actions (see below). You can launch the fine tuning job using the examples in the https://github.com/ai-hero/llm-research-examples... See more

1. 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.


2. Sharding the index, either by document or by word, is important to distribute the indexing and querying load across machines.

... See more

Our Goals

We made it lightweight and kept the efficiency in mind:

• Self-contained
  
  We ship a single dependency-free binary that runs on all Linux distributions


• Fast to deploy, safe to operate
  
  We are sysadmins, we know the value of operator-friendly software


• Deploy everywhere on every machine
  
  We do not have a dedicated backbone, and neither do you,
  
  so

... See more