Home - Docling
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AI/ML
Docling
MIT licensed document extraction Python library from the Deep Search team at IBM, who released [Docling v2](https://ds4sd.github.io/docling/v2/#changes-in-docling-v2) on October 16th. Here's the [Docling Technical Report](https://arxiv.org/abs/2408.09869) paper from August, which provides …
Creating a LLM-as-a-Judge That Drives Business Results –
A step-by-step guide with my learnings from 30+ AI implementations.
Creating a LLM-as-a-Judge that drives business results
Hamel Husain's sequel to [Your AI product needs evals](https://hamel.dev/blog/posts/evals/). This is _packed_ with hard-won actionable advice. Hamel warns against using scores on a 1-5 scale, instead promoting an alternative he …
Our Story - OmniBridge
Find out how it all started and connect with our vision BEGINNINGS The idea for OmniBridge was seeded in 2014 when co-founder Adam Munder, a profoundly deaf software engineer at Intel, began developing a system to track information informally passed between fellow engineers. A few years later, Adam began working with a small team of […]
In TED Talk, Deaf engineer debuts AI model that transcribes sign language to text in seconds
Adam Munder is a software engineer. Since 2015, he’s been working to bridge the gap between sign language and spoken word. Now, a decade later, he brought it to the TED stage.
PromptQL: Agentic data access for your AI
Build powerful AI that you can trust with agentic data access for your LLMs.
Infinite AI Artboard - Recraft
Premium image generation and editing tool. Store and share your own styles, create, fine-tune, upscale, and perfect your visuals.
microsoft/OmniParser · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A return to hand-written notes by learning to read & write
Run a prompt to generate and execute jq programs using llm-jq
llm-jq is a brand new plugin for LLM which lets you pipe JSON directly into the llm jq command along with a human-language description of how you’d like to manipulate …
Notes on Anthropic's Computer Use Ability
This article takes a deep dive into Claude Computer Use. How it works, the use cases, and what the future holds for AI agents.
GitHub - Skyvern-AI/skyvern: Automate browser-based workflows with LLMs and Computer Vision
Automate browser-based workflows with LLMs and Computer Vision - Skyvern-AI/skyvern
Introducing the analysis tool in Claude.ai \ Anthropic
We’re introducing a new built-in feature for Claude.ai, the analysis tool, that enables Claude to write and run code. With the analysis tool, Claude can process data, conduct analysis, and produce real-time insights.
You Should Probably Pay Attention to Tokenizers
Last week I was helping a friend of mine to get one of his new apps off the ground. I can’t speak much about it at the moment,
other than like most apps nowadays it has some AI sprinkled over …
When you give a Claude a mouse
Some quick impressions of an actual agent
Claude's agentic future and the current state of the frontier models
How computer use works. Where OpenAI, Anthropic, and Google all have a lead on eachother.
Initial explorations of Anthropic’s new Computer Use capability
Two big announcements from Anthropic today: a new Claude 3.5 Sonnet model and a new API mode that they are calling computer use. (They also pre-announced 3.5 Haiku, but that’s …
How I Use Claude
I now use Claude every day, multiple times a day, both in my work and personal life. This is a relatively new phenomenon: I basically never used Claude until 3.5 Sonnet came out. I had tried Claude before that, mostly out of a sense of duty, but I hadn't found him [1] particularly helpful. But 3.5 was a tipping point where Claude finally became smart enough to be worth the trouble of using. So what do I use Claude for?
Playnode
AI for your automation workflow
Thinking Like an AI
A little intuition can help
files-to-prompt 0.4
New release of my [files-to-prompt tool](https://simonwillison.net/2024/Apr/8/files-to-prompt/) adding an option for filtering just for files with a specific extension. The following command will output Claude XML-style markup for all Python and …
AI for the rest of us
Apple Intelligence makes a lot of sense when you get out of the AI bubble. Plus, the cool technical details Apple shared about their language models "thinking different."
GitHub - lifeiteng/OmniSenseVoice: Omni SenseVoice: High-Speed Speech Recognition with words timestamps 🗣️🎯
Omni SenseVoice: High-Speed Speech Recognition with words timestamps 🗣️🎯 - lifeiteng/OmniSenseVoice
An LLM TDD loop
Super neat demo by David Winterbottom, who wrapped my [LLM](https://llm.datasette.io/) and [files-to-prompt](https://github.com/simonw/files-to-prompt) tools in [a short Bash script](https://gist.github.com/codeinthehole/d12af317a76b43423b111fd6d508c4fc) that can be fed a file full of Python unit tests and …
GSM-Symbolic: Understanding the Limitations of Mathematical...
Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K benchmark is widely used to assess the...
LLMs don’t do formal reasoning - and that is a HUGE problem
Important new study from Apple
Get Started
The end of business-class A.I. doomerism
The ramifications of OpenAI's boardroom drama
Three Things That LLMs Have Made Us Rethink – Rodney Brooks