Hackernoon

Table of Links Abstract and 1 Introduction 2 Technical Specifications 3 Academic benchmarks 4 Safety 5 Weakness 6 Phi-3-Vision 6.1 Technical Specifications 6.2 Academic benchmarks 6.3 Safety 6.4 Weakness References A Example prompt for benchmarks B Authors (alphabetical) C Acknowledgements 6.4 Weakness Regarding the multi-modal LLM capabilities of our Phi-3-Vision, it performs admirably across various … Read more

Table of Links Abstract and 1 Introduction 2 Technical Specifications 3 Academic benchmarks 4 Safety 5 Weakness 6 Phi-3-Vision 6.1 Technical Specifications 6.2 Academic benchmarks 6.3 Safety 6.4 Weakness References A Example prompt for benchmarks B Authors (alphabetical) C Acknowledgements 6.3 Safety To ensure the integration of Phi-3-Vision aligns with Microsoft’s Responsible AI (RAI) principles, … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Introduction Translating To Sequent Calculus 2.1 Arithmetic Expressions 2.2 Let Bindings 2.3 Top-level Definitions 2.4 Algebraic Data and Codata Types 2.5 First-Class Functions 2.6 Control Operators Evaluation Within a Context 3.1 Evaluation Contexts for Fun 3.2 Focusing on Evaluation in Core Typing Rules 4.1 Typing Rules for Fun 4.2 Typing Rules for … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Imagine if you were required to make up a comprehensive set of rules to obey every time you talk, move, and act for the rest of your life. What would these rules look like? Would you give yourself some ambiguous liberty by making the rules less stringent, deciding that you can drink coffee, but only … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Introduction Translating To Sequent Calculus 2.1 Arithmetic Expressions 2.2 Let Bindings 2.3 Top-level Definitions 2.4 Algebraic Data and Codata Types 2.5 First-Class Functions 2.6 Control Operators Evaluation Within a Context 3.1 Evaluation Contexts for Fun 3.2 Focusing on Evaluation in Core Typing Rules 4.1 Typing Rules for Fun 4.2 Typing Rules for … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Tell us about Session. Session is a messaging app that protects user privacy by eliminating metadata exposure. It offers fully anonymous sign-up, with no phone number or email required, and uses decentralisation and onion routing to shield users from surveillance. Session is a user-friendly alternative to centralised messaging apps that remain vulnerable to tracking, third … Read more

In any multi-tenant SaaS product, the moment a new user signs up is more than just adding a row in a “users” table. That user represents a new team, a new data boundary, and a new permission structure. We made a conscious decision early: treat account creation as the root of the architecture. Instead of … Read more

My homegrown experiment might just say yes. Traditional AI systems are designed to react to user input with pre-trained responses, exhibiting no independent reasoning or self-awareness. However, emergence — where simple systems interacting in complex ways produce outcomes greater than their parts — is often seen as a necessary precursor to true artificial general intelligence … Read more

A hands-on guide to building a custom voice cloning pipeline for audiobooks using open-source tools like GPT-SoVITS, Fish-Speech, and CosyVoice.

Table of Links Introduction Translating To Sequent Calculus 2.1 Arithmetic Expressions 2.2 Let Bindings 2.3 Top-level Definitions 2.4 Algebraic Data and Codata Types 2.5 First-Class Functions 2.6 Control Operators Evaluation Within a Context 3.1 Evaluation Contexts for Fun 3.2 Focusing on Evaluation in Core Typing Rules 4.1 Typing Rules for Fun 4.2 Typing Rules for … Read more

Artificial intelligence has steadily become a major talking point in the tech community, fueling both excitement and anxiety about its future impact on various industries – especially software development. The potential for AI-driven tools to transform coding workflows is undeniably fascinating, yet it also prompts significant questions about our roles as developers in an increasingly … Read more

Polyfuturism and indigenous futures are more important than ever to foresight strategy if we are to build a world that embraces culturally diverse futures.

Table of Links Abstract and 1. Introduction 2. Related Work 3 Background 3.1 Blockchain and DeFi 3.2 Ethereum PoS 3.3 Staking Options 3.4 LSD 3.5 DeFi Lending Protocols 4 System Model and 4.1 System Participants 4.2 Leverage Staking with LSDs 5 Analytical Study 6 Empirical Study 7 Cascading Liquidation 7.1 stETH Price Deviation and Terra … Read more

Today’s science fiction authors have forgotten how to exercise the pen to write less dystopian futures. They’d do well to go back to the past to understand how to write them.

Table of Links Introduction Translating To Sequent Calculus 2.1 Arithmetic Expressions 2.2 Let Bindings 2.3 Top-level Definitions 2.4 Algebraic Data and Codata Types 2.5 First-Class Functions 2.6 Control Operators Evaluation Within a Context 3.1 Evaluation Contexts for Fun 3.2 Focusing on Evaluation in Core Typing Rules 4.1 Typing Rules for Fun 4.2 Typing Rules for … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Trevor Koverko: From Athlete to AI Data Entrepreneur By @danstein [ 3 Min read ] From NHL draft pick to brain … Read more

META recently launched its latest pair of smart glasses, and word on the street is that Apple is not that far behind. Both companies appear to be betting big on face mounted technology, and, I can only assume, hoping that the public erased the term ‘glasshole’ from our collective memory banks. You may remember the … Read more

One thing I’ve learned as a developer is that skill doesn’t always show up on paper. I once worked on a small open-source bug that nobody else wanted to touch. It wasn’t glamorous, but it mattered. That fix ended up helping hundreds of users, yet it never made it onto my résumé. That’s the problem. … Read more

Introduction In this article, I want to share my experience developing an iOS application for a robotic microscope with AI-based blood cell recognition — how it’s built, the challenges we had to tackle, the pitfalls we encountered, and how the iPhone can be used as a laboratory tool. This is not yet another to-do list … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

Table of Links Abstract and 1. Introduction 2 Concepts in Pretraining Data and Quantifying Frequency 3 Comparing Pretraining Frequency & “Zero-Shot” Performance and 3.1 Experimental Setup 3.2 Result: Pretraining Frequency is Predictive of “Zero-Shot” Performance 4 Stress-Testing the Concept Frequency-Performance Scaling Trend and 4.1 Controlling for Similar Samples in Pretraining and Downstream Data 4.2 Testing … Read more

:::info Authors: (1) Vishaal Udandarao, Tubingen AI Center, University of Tubingen, University of Cambridge, and equal contribution; (2) Ameya Prabhu, Tubingen AI Center, University of Tubingen, University of Oxford, and equal contribution; (3) Adhiraj Ghosh, Tubingen AI Center, University of Tubingen; (4) Yash Sharma, Tubingen AI Center, University of Tubingen; (5) Philip H.S. Torr, University … Read more

Friday morning started with a bold claim from Elon Musk: his AI chatbot Grok has gotten a major upgrade. “We have improved @Grok significantly. You should notice a difference when you ask Grok questions,” Musk posted on X (formerly Twitter). But within hours, people were asking a very different question: What exactly did he improve? Because if … Read more