AI Hallucinations: Why Large Language Models Make Things Up (And How to Fix It) - kapa.ai - Instant AI answers to technical questions
Kapa.ai turns your knowledge base into a reliable and production-ready LLM-powered AI assistant that answers technical questions instantly. Trusted by 100+ startups and enterprises incl. OpenAI, Docker, Mapbox, Mixpanel and NextJS.
Study of ChatGPT citations makes dismal reading for publishers | TechCrunch
As more publishers cut content licensing deals with ChatGPT-maker OpenAI, a study put out this week by the Tow Center for Digital Journalism -- looking at
I've been having fun playing with this new vision model from the Hugging Face team behind [SmolLM](https://simonwillison.net/2024/Nov/2/smollm2/). They describe it as: > [...] a 2B VLM, SOTA for its memory …
Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024 that enables AI models to interact with external data sources through a unified interface.
Ask questions of SQLite databases and CSV/JSON files in your terminal
I built a new plugin for my sqlite-utils CLI tool that lets you ask human-language questions directly of SQLite databases and CSV/JSON files on your computer. It’s called sqlite-utils-ask. Here’s …
This "natural language interface for computers" open source ChatGPT Code Interpreter alternative has been around for a while, but today I finally got around to trying it out. Here's how …
Misinformation expert cites non-existent sources in Minnesota deep fake case • Minnesota Reformer
A leading misinformation expert is being accused of citing non-existent sources to defend Minnesota’s new law banning election misinformation. Professor Jeff Hancock, founding director of the Stanford Social Media Lab, is “well-known for his research on how people use deception with technology,” according to his Stanford biography. At the behest of Minnesota Attorney General Keith […]
LlamaOCR - Building your Own Private OCR System - YouTube
The video demonstrates LlamaOCR, an OCR tool leveraging the Llama 3.2 visual model. It focuses on the tool's ability to convert images and scanned documents into structured Markdown, preserving the original formatting of elements like tables, lists, and spreadsheets. The video covers practical usage examples, offering tutorials and code snippets in both JavaScript and Python within a Colab environment.
For more tutorials on using LLMs and building agents, check out my Patreon
Patreon: https://www.patreon.com/SamWitteveen
Twitter: https://twitter.com/Sam_Witteveen
Colab: https://drp.li/WpdNm
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⏱️Time Stamps:
00:00 LlamaOCR Project
00:56 Demo Using their Site
02:43 Colab Demo
04:40 Together.AI Docs
06:06 Pricing
09:16 Python OCR Version
11:20 Thai OCR Project
16:30 Patreon
Structured extraction - where an LLM helps turn unstructured text (or image content) into structured data - remains one of the most directly useful applications of LLMs. NuExtract is a …
Recraft are a generative AI design tool startup based out of London who released their v3 model a few weeks ago. It's currently sat at the top of the [Artificial …
The Beginner's Guide to Visual Prompt Injections: Invisibility Cloaks, Cannibalistic Adverts, and Robot Women | Lakera – Protecting AI teams that disrupt the world.
Learn about visual prompt injections, their appearance, and top defense strategies against these attacks.
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