Bookmarks (1974)

Many-shot ICL enables quick model adaptation without fine-tuning, improving accessibility. Future work: other tasks, open models, bias reduction.

Gemini 1.5 Pro shows log-linear gains up to ~1K examples (+38% accuracy). Batching reduces costs 45x and latency 35x with minimal performance loss.

Evaluates GPT-4o vs Gemini 1.5 Pro on 10 vision datasets with many-shot ICL, using stratified sampling and standard accuracy/F1 metrics.

Many-shot multimodal ICL with thousands of examples improves LMM performance. Gemini 1.5 Pro shows log-linear gains; batching reduces costs.

InteraSSort demo using Ta-Feng grocery dataset with MNL model and GPT-3.5-turbo, showing conversational optimization with constraint handling.

This week, HackerNoon features Leobit—a .NET, AI, and web application development provider for technology companies and startups.

This article explores how principles like emergence, decomposition, and multi-agent systems (MAS) can transform AI from complex, monolithic prompts into structured, scalable, and testable architectures. Drawing from natural and software systems like ants, Conway’s Game of Life, and Apache Kafka, it argues for smarter AI system design through modularity and clear boundaries.

InteraSSort framework: prompt design → decomposition → tool execution for interactive assortment optimization with multi-turn conversation support.

Reviews AI in marketing (chatbots, personalization) and LLM tool integration frameworks (TaskMatrix, HuggingGPT, Optiguide) for assortment optimization context.

InteraSSort combines LLMs with optimization tools for interactive assortment planning, enabling store planners to optimize via natural language.

Yes, AI-assisted writing prompts is easier, but so is avoiding the gym. Sometimes you need to train your body by doing something hard. Writing by hand forces you to think for yourself.

Choosing the right tech stack is a pivotal decision that sets the trajectory of your product's future. Align tech stacks with your actual project scope: Are you building an MVP or enterprise-grade SaaS? A data-heavy AI platform or a real-time collaboration tool? In this article, we examine the tech stacks that best match common product types.

The failures of centralized cloud storage providers demonstrate the inherent risks of entrusting data to a single entity. Vendor lock-in creates financial and technical barriers, restricting users from exercising full control over their own data and preventing developers from seeking out alternatives. Traditional cloud storage models are built on artificial pricing structures, centralized infrastructure, and proprietary technology, all designed to keep users trapped. Sia...

Knowing when to pivot can be vital to staying ahead of the competition. See how Cursor AI and Heroku can be leveraged to transform an idea into a reality.

Defending against deepfake scams doesn’t necessarily mean being paranoid. Rather, it requires recognizing patterns, training staff to recognize red flags, and e

Previously, developers were more dependent and constrained in what they could do. Today's developers have far more advanced tools, and newcomers will be a generation of developers who can accomplish significantly more on their own than all previous generations. But this is yet to be understood and learned how to utilize.

This article shows how to implement secure, passwordless login on a desktop website using MetaMask Mobile and PHP. Users scan a QR code, sign a challenge, and log in with their Ethereum wallet—offering strong security and a seamless experience.

PreCorrector outperforms neural operators and classical methods by learning IC corrections. Future: theoretical loss analysis and sparse matrix generalization.

PreCorrector outperforms classical IC by 2-3x on complex systems, reduces eigenvalue gaps, generalizes across grids/datasets with <10% loss.

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. Decentralized Identity (DID) and KYC in Blockchain Gambling: Privacy vs. Compliance By @casinosblockchain [ 2 Min read ] Ex...

ISO-27560 with cryptographic security and EUDI wallet integration enables verifiable consent records, privacy dashboards, and user-controlled data sharing.

ISO-27560/29184 support GDPR compliance and DGA implementation through standardized consent records, machine-readable forms, and data reuse frameworks.

AutoGraph automatically converts Python control flow (like if, for, and while) into graph-executable TensorFlow ops when using tf.function. It improves performance and dynamic behavior but requires careful handling of loops, variables, and side effects.

This guide explores how tf.function transforms Python code into efficient TensorFlow graphs, boosting performance and enabling model portability.

SGRLD on Argo ocean data: 4x lower MSE, 20x faster than NNGP, with 93% prediction interval coverage on 32K temperature measurements.

SGRLD outperforms competing SGMCMC methods and NNGP in MSE and ESS per minute, showing superior parameter estimation and computational efficiency.

The Godot Team managed to get a few more regressions identified and fixed since our RC2 snapshot 2 days ago, so they're making a final final release candidate to round this all up and ensure Godot 4.4 is ready for prime time!

Michael Saylor’s MicroStrategy is engineered like a 3-piston engine—leveraging stock, preferred shares, and Bitcoin to maximize growth through volatility.

In this blog post we’ll discuss how you can use these functions more effectively by understanding how slices are represented in memory and how that affects the garbage collector, and we’ll cover how we recently adjusted these functions to make them less surprising.

Toffee is a debt tracking and management app designed to turn financial stress into momentum. The app's interface is intentionally simple, but there's some sophisticated logic working behind the scenes to help users tackle their debt effectively. Toffee's data architecture is built with user privacy in mind.

ISO-27560 defines interoperable consent record structure covering processing details, notices, data collection, and lifecycle events for GDPR compliance.

Matern GP model with Vecchia approximation enables linear-time computation and unbiased gradient estimation for scalable SGMCMC spatial inference.

SG methods scale ML but struggle with correlated spatial data. Authors extend SGLD using Vecchia approximation for unbiased GP gradient estimates.

Reviews GP scaling methods: low-rank, tapering, divide-conquer, Vecchia. All reduce cubic to linear cost, but MCMC still needs thousands of iterations.

SGMCMC + Vecchia approximation enables scalable Bayesian GP inference for large spatial datasets, achieving linear time complexity and competitive performance.

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. Finding THE Product Market Fit: Don’t Just Talk to Your Users By @hacker9075105 [ 5 Min read ] Most early-stage product tea...

Detailed results of fine-tuned GPT-3.5 models showing mean, std, min, and max M-IoU scores for identifying effort- and outcome-based praise across various training sample sizes.

This scatter matrix visualizes the strong positive correlation between M-IoU scores and human coder ratings for outcome-based praise in automated feedback analysis.

Explore the structured input format (System, User, Assistant roles) used to fine-tune GPT-3.5 models for identifying effort- and outcome-based praise in tutor responses via JSON output.

Explore the core principles defining effective praise for student motivation, including sincerity, specificity, and focus on the learning process, as used in tutor training.

A list of academic references at the intersection of artificial intelligence in education, natural language processing techniques, and research on effective tutoring practices.

Zircuit has launched non-custodial wallet top-ups for Crypto.com Visa Cards. This new integration enables users to seamlessly fund their cards via Zircuit.

Sanjay Vichare automated a critical fintech account migration process, cutting processing time by 95%, boosting data integrity, and reducing compliance risk. His strategic business analysis and cloud-based solution design created a scalable, user-friendly system that’s become a benchmark for future digital transformation in financial services.

At a premier U.S. national lab, Chandan Mishra modernized PeopleSoft ERP systems to improve transparency, integrate with DOE platforms, and reduce research admin burdens—empowering scientists to focus on discovery. His cross-functional leadership helped transform backend operations into a strategic enabler of scientific progress.