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Talking sense: using machine learning to understand quotes |

For the last six months, we have been part of the 2021 JournalismAI Collab Challenges, a project connecting global newsrooms to understand how artificial intelligence can improve journalism. Our particular challenge was to answer this question: “How might we use modular journalism and AI to assemble new storytelling formats and reach underserved audiences?” Participating newsrooms were organised into teams to define the challenges they would work on, imagine potential solutions, and turn them into prototypes. Our team included newsrooms from across Europe, Africa and the Middle East. Although we all attract different audiences, produce different types of content and have

Learn stuff fast with LLM generated prompt for LLMs

If you're too lazy like me to write a proper prompt when you're trying to learn something. You can use an LLM to generate a prompt for another. Tell Claude to generate a prompt like "I want to learn in-depth Golang. Everything should be covered in-depth all internals. Write a prompt for chatgGPT to systematically teach me Golang covering everything from scratch" It will generate a long ahh prompt. Paste it in GPT or BlackBoxAI or any other LLM and enjoy. submitted by /u/Shanus_Zeeshu [comments] Source link

Nintendo hints at enhanced “Switch 2 Edition games” for new console

When Nintendo finally officially revealed the Switch 2 in January, one of our major unanswered questions concerned whether games designed for the original Switch would see some form of visual or performance enhancement when running on the backward-compatible Switch 2. Now, Nintendo-watchers are pointing to a fleeting mention of “Switch 2 Edition games” as a major hint that such enhancements are in the works for at least some original Switch games. The completely new reference to “Switch 2 Edition games” comes from a Nintendo webpage discussing yesterday’s newly announced Virtual Game Cards digital lending feature. In the fine print at

Unveiling the Reasoning Abilities of Large Language Models through Complexity Classes and Dynamic Updates

We’re happy to introduce the NPHardEval leaderboard, using NPHardEval, a cutting-edge benchmark developed by researchers from the University of Michigan and Rutgers University. NPHardEval introduces a dynamic, complexity-based framework for assessing Large Language Models’ (LLMs) reasoning abilities. It poses 900 algorithmic questions spanning the NP-Hard complexity class and lower, designed to rigorously test LLMs, and is updated on a monthly basis to prevent overfitting! A Unique Approach to LLM Evaluation NPHardEval stands apart by employing computational complexity classes, offering a quantifiable and robust measure of LLM reasoning skills. The benchmark’s tasks mirror real-world decision-making challenges, enhancing its relevance and applicability.

Time to ditch GPT-4-pro I think?

https://preview.redd.it/ksq129j4alre1.png?width=606&format=png&auto=webp&s=2d60fa6a3f0a3e6901f8a38e49d257a3ea423580 It's only 32K Tokens, which was fine before but now they're imposing limits. I think this is it for me and I'll move to something else. Any suggestions? submitted by /u/Amb_33 [comments] Source link

Tutorial: Set Up a Cloud Native GPU Testbed With Nvkind Kubernetes

DevOps engineers and developers are familiar with kind, a Kubernetes development environment built on Docker. In kind, the control plane and nodes of the cluster operate as individual containers. While kind is easy to use, accessing GPUs from the cluster can be challenging. This tutorial walks you through installing nvkind from Nvidia, a GPU-aware kind cluster for running cloud native AI workloads in a development or test environment. My environment consists of a host machine powered by a single Nvidia H100 GPU. We aim to deploy a pod within the nvkind cluster with access to the same GPU. Prerequisites Please