Nicolay Gerold

All the recommendation systems you see at Twitter, Facebook, TikTok, YouTube, etc. have a similar high-level architecture.

They have a layered architecture that looks something like the following

1. Retrieval - Narrow down the candidates of what to show a user to thousands of potential items


2. First Stage Ranking - Apply a low-level ranking system to

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First order effects of inventions are easy to predict but secondary, tertiary, and n+1 effects are very hard. That’s almost laughable to say about a sector like AI where new research / startups / demos / regulations / firings / resignations / fundings are happening at light speed. Like literally there’s something mind-blowing that happens every... See more

The microbiome can be steered through the ingestion of certain foods.

There is often a notable gap between state of the art research and what practitioners can reasonably use. However, I'm glad to say that attention sinks can be added to any pretrained LLM at near to no additional effort.

I have released the attention_sinks Python module, which acts as a drop-in replacement for the transformers API. This Python module... See more

Towhee is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It is uniquely positioned to extract invaluable insights from diverse unstructured data types, including lengthy text, images, audio and video files. Leveraging the capabilities of... See more

• UUID Version 1 (v1) is generated from timestamp, monotonic counter, and a MAC address.


• UUID Version 2 (v2) is reserved for security IDs with no known details2.


• UUID Version 3 (v3) is generated from MD5 hashes of some data you provide. The RFC suggests DNS and URLs among the candidates for data.


• UUID Version 4 (v4) is generated from entirely random

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Fast full-text search engine library written in Rust

If you are looking for an alternative to Elasticsearch or Apache Solr, check out Quickwit, our distributed search engine built on top of Tantivy.

Tantivy is closer to Apache Lucene than to Elasticsearch or Apache Solr in the sense it is not an off-the-shelf search engine server, but rather a... See more

The No-Code Generative AI Platform

Deploy custom AI Assistants, Chatbots, and Workflow Automations to make your company 10x more efficient.

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

📖 Table of contents

• 📖 Table of contents


• 🌳 Features


• 🏠 Models


• 🏃‍♂️ Getting started with Docker
  
  
  • Launch LoRAX Server
  
  
  • Prompt via REST API
  
  
  • Prompt via Python

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