Nicolay Gerold

HoneyHive is a collaboration platform to test and evaluate, monitor and debug your LLM apps, from prototype to production. It enables you to continuously improve LLM apps in production with human feedback, quantitative rigour and safety best-practices.

Why is Discord such a good GTM for AI applications?

Text interface. Most users are just generating images, videos, and audio in these Discord servers. Prompts are easily expressible in simple text commands. It’s why we’ve seen image generation strategies like Midjourney (all-in-one) flourish in Discord while more raw diffusion models haven’t grown... See more

Dopamine finished each time you reach the goal.

FlashText

This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm.

Installation

$ pip install flashtext

API doc

Documentation can be found at FlashText Read the Docs.

“ The agent runs in a loop of Thought, Action, Observation, Thought, ... The Thought and Action (with the Action Input to the action) are the parts which are generated by an LLM The Observation is generated by using a tool (for example the print outputs of Python or the text result of a Google search)”

Really neat to see the parallels to OODA loops,... See more

Depending on your use case, batching may help . If you are sending multiple requests to the same endpoint, you can batch the prompts to be sent in the same request. This will reduce the number of requests you need to make. The prompt parameter can hold up to 20 unique prompts. We advise you to test out this method and see if it helps. In some... See more

Hono - [炎] means flame🔥 in Japanese - is a small, simple, and ultrafast web framework for the Edges. It works on any JavaScript runtime: Cloudflare Workers, Fastly Compute@Edge, Deno, Bun, Vercel, Lagon, AWS Lambda, Lambda@Edge, and Node.js.

Fast, but not only fast.

import { Hono } from 'hono'

const app = new Hono()

app.get('/', (c) =>... See more

(1) Tasks (a) Data collection, cleaning & labeling: human annotators , exploratory data analysis (b) Embeddings & feature engineering: normalization , bucketing / binning , word2vec (c) Data modeling & experimentation: accuracy , F1-score , precision , recall (d) Testing: scenario testing , AB testing , adaptive test-data (2) Biz/Org Management (a)... See more

Zerox OCR

A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!

The general logic:

• Pass in a PDF (URL or file buffer)


• Turn the PDF into a series of images


• Pass each image to GPT and ask nicely for Markdown


• Aggregat

... See more