Singapore, Singapore, April 8th, 2025/Chainwire/–ZKcandy, an AI-driven gaming and entertainment Layer-2 powered by ZKsync and iCandy Interactive, launches its mainnet chain today. The announcement comes after the successful testnet phase and a $4 million seed round funded by Wemix Pte. Ltd., Animoca Ventures, and renowned institutional and angel investors. With a strong backing behind it, … Read more
As a project manager, you might have encountered various frameworks. How many do you employ when faced with a new product? Despite the abundance of management frameworks available, only 28% of product managers find it feasible to optimize development processes. It is a big deal, and you might be sleeping on a 34.2% increase in … Read more
Table of Links Abstract and 1 Introduction 2 LongFact: Using LLMs to generate a multi-topic benchmark for long-form factuality 3 Safe:LLM agents as factuality autoraters 4 LLMs agents can be better factuality annotators than humans 5 F1@k: Extending F1 with recall from human-preferred length 6 Larger LLMs are more factual 7 Related Work 8 Limitations … 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. ## Legally Compliant Cryptocurrency Exchange: A Case Study of NovaChange By @novachange [ 3 Min read ] As cryptocurrency adoption grows worldwide, … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1. Introduction 2 Related works 3 Methodology and 3.1 Causal language model as a classification model 3.2 Functional token 3.3 Dataset collection 3.4 Model development and training 4 Experiments and 4.1 Android function calls 4.2 Extension to Vehicle, Yelp, and DoorDash function sets 4.3 Full and partial training datasets and … Read more
Table of Links Abstract and 1. Introduction 2 Related works 3 Methodology and 3.1 Causal language model as a classification model 3.2 Functional token 3.3 Dataset collection 3.4 Model development and training 4 Experiments and 4.1 Android function calls 4.2 Extension to Vehicle, Yelp, and DoorDash function sets 4.3 Full and partial training datasets and … Read more
Ever seen this? “Transaction Declined” Your card’s fine. Your money’s real. So…???? You’re not alone (hopefully!). Welcome to the invisible leak no one talks about – credit card authorization failures. It’s not just a customer annoyance. It’s a revenue black hole. And businesses are bleeding silently at the point of payment. So, what should we … Read more
Color is essential in user interface (UI) design; it influences emotions, perception, engagement, and retention. As a designer, understanding the principles of color psychology can help you create interfaces that resonate with users, improve usability, build loyalty, encourage continued interaction, and enhance the overall experience. In this article, we will explore how to use color … Read more
Introduction I guess I’ve always been a Frank Sinatra’s my-way-kind-of-a-man who has followed his instincts in both private and professional life. I obtained an academic degree in 2003 and, as one of the top 30 students in my country, I had a promise of a career as a lawyer or public prosecutor. However, after only … Read more
Table of Links Abstract and 1 Introduction 2 LongFact: Using LLMs to generate a multi-topic benchmark for long-form factuality 3 Safe:LLM agents as factuality autoraters 4 LLMs agents can be better factuality annotators than humans 5 F1@k: Extending F1 with recall from human-preferred length 6 Larger LLMs are more factual 7 Related Work 8 Limitations … Read more
Table of Links Abstract and 1 Introduction 2 LongFact: Using LLMs to generate a multi-topic benchmark for long-form factuality 3 Safe:LLM agents as factuality autoraters 4 LLMs agents can be better factuality annotators than humans 5 F1@k: Extending F1 with recall from human-preferred length 6 Larger LLMs are more factual 7 Related Work 8 Limitations … Read more
Table of Links Abstract and 1 Introduction 2 LongFact: Using LLMs to generate a multi-topic benchmark for long-form factuality 3 Safe:LLM agents as factuality autoraters 4 LLMs agents can be better factuality annotators than humans 5 F1@k: Extending F1 with recall from human-preferred length 6 Larger LLMs are more factual 7 Related Work 8 Limitations … Read more
:::info Authors: (1) Jerry Wei, Google DeepMind and a Lead contributors; (2) Chengrun Yang, Google DeepMind and a Lead contributors; (3) Xinying Song, Google DeepMind and a Lead contributors; (4) Yifeng Lu, Google DeepMind and a Lead contributors; (5) Nathan Hu, Google DeepMind and Stanford University; (6) Jie Huang, Google DeepMind and University of Illinois … Read more
Let me start with a confession. In one of my previous projects, I used to think project chaos was just part of the job. You know the vibe — people stepping on each other’s toes, endless Slack threads trying to figure out who was supposed to do what, decisions made in meetings that no one … Read more
No tariffs, no taxes, no fees Imagine a world where buying an iPhone doesn’t require deciphering a complex web of tariffs, taxes, and fees. Picture a scenario where international trade flows as smoothly as your favorite streaming service — no buffering, no interruptions. Sounds like a utopian dream? Well, with the advent of cryptocurrencies, this … Read more
Image Credit: NightCafe Studio: Link Why the US LLMs Are Showing Poor Returns For Investment Compared to China :::tip The bottleneck is real: the problem is the lack of data! ::: GPT 3.5 to GPT-4-Turbo was a quantum leap. GPT-4.5: hugely enormous computing resources (as evidenced by the massive prices) but not a serious entry … Read more
I’ve been a web developer for years, but I haven’t touched Java in a long time — like, late-90s long. Back then, Java development felt cumbersome: lots of boilerplate and complex configurations. It was not exactly a pleasant experience for building simple web apps. So, when I recently started exploring Scala and the Play Framework, I was … Read more
Cloud migration involves many complex steps and requires strategic vision, technical cloud expertise, and a clear understanding of both the existing infrastructure and target state environment. This article explores some of the proven migration techniques that can serve as a guide for any cloud migration journey. I. The 6 R’s Approach for Cloud Migration The … Read more
A/B testing is one of the primary ways of verifying ideas in mobile apps on a fast scale. The arrangement is typically straightforward: you run a test for a few weeks, gauge its impact, and decide to roll out a feature or iterate further. One of the essential but commonly overlooked aspects of A/B testing … Read more
The $30K Marketing Budget Syndrome aka “We’re building the future of finance, but let’s market it like a lemonade stand.” We’re here again. The startup is gorgeous: Founders with MBAs and matching hoodies. The roadmap looks like it was forged by Vitalik and Steve Jobs in a co-working space on Mount Olympus. The pitch deck? … Read more
After spending the last seven years building ML systems across various industries, I’ve learned that successful vector retrieval systems always begin with a clear understanding of your data. Too often, I’ve seen teams jump straight to selecting the latest vector database or embedding model without first mapping their data landscape — a mistake that inevitably … Read more
San Salvador, El Salvador, April 8th, 2025/Chainwire/–Dubai, UAE/ San Salvador, El Salvador, Freedx, a centralized exchange built for crypto newcomers and experienced traders alike, has been granted a Digital Asset Service Provider (DASP) license by the Comisión Nacional de Activos Digitales (CNAD) in El Salvador. This marks a significant milestone for Freedx that showcases the exchange’s … Read more
Table of Links Abstract and 1 Introduction The threat posed by AI to all technical civilisations Multiplanetary mitigating strategies and technology progression Timescales and confrontation with the data AI regulation Conclusions, Declaration of competing interest, Acknowledgements, and References 2. The threat posed by AI to all technical civilisations AI has made extraordinary strides over the … Read more
:::info Author: (1) Michael A. Garrett (Corresponding Author), Jodrell Bank Centre for Astrophysics, Dept. of Physics & Astronomy, Alan Turing Building, Oxford Road, University of Manchester, M13 9PL, UK. (michael.garrett@manchester.ac.uk). ::: Table of Links Abstract and 1 Introduction The threat posed by AI to all technical civilisations Multiplanetary mitigating strategies and technology progression Timescales and … Read more
Table of Links Introduction Related Work Methodology Experiments Conclusion and References 4. Experiments 4.1. Experimental Setup To investigate the early-bird ticket hypothesis in Transformer models, we conducted experiments on four different architectures: ViT, Swin-T, GPT-2, and RoBERTa. The experiments were performed using the following setup: Hardware The experiments were conducted on the Georgia Tech PACE … Read more
Table of Links Introduction Related Work Methodology Experiments Conclusion and References 3. Methodology In this study, we investigate the early-bird ticket hypothesis in Transformer models using the masked distance metric. Our approach involves exploring the early-bird phenomenon during full training for vision transformers and limiting it to the fine-tuning stage for language models. The methodology … Read more
:::info Author: (1) Shravan Cheekati, Georgia Institute of Technology (shravan.cheekati@gatech.edu). ::: Table of Links Introduction Related Work Methodology Experiments Conclusion and References 1. Introduction Transformer models have revolutionized the field of natural language processing (NLP) and computer vision (CV) in recent years. Since the introduction of the Transformer architecture by Vaswani et al. [11], these … Read more
Table of Links Abstract and I. Introduction II. Overview of error Mitigation Methods III. Methodology IV. Results and Discussions, and References III. METHODOLOGY To understand how a blackbox model of error suppression and circuit optimization can be used to enhance the data loading process on NISQ hardware, we performed the inference based on our pretrained … Read more