4,874 results for generate

github.com/murchie85/franku

murchie85/franku

An AI to generate filthy frank scripts (⭐ 19)

github.com/ss2342/Stock-Evaluation

ss2342/Stock-Evaluation

This project hits all of the points that I had planned to do for this project. The first part of the project provides a simple comparison of historical stock prices of the last 5 years of companies within a same industry. I chose to do my analysis of 5 compani…

en.wikipedia.org/wiki/Local_enterprise_partnership

Local enterprise partnership - Wikipedia

government to LEPs. Changes included: allocating a share of a £1,400m Local Growth Fund to generate growth, through competitive bidding; getting LEPs to draw

arxiv.org/abs/1301.2699v3

Survival models and health sequences

Medical investigations focusing on patient survival often generate not only a failure time for each patient but also a sequence of measurements on patient health at annual or semi-annual check-ups while the patient remains alive. Such a sequence of r...

arxiv.org/abs/2203.03047v3

Recent Advances in Neural Text Generation: A Task-Agnostic Survey

In recent years, considerable research has been dedicated to the application of neural models in the field of natural language generation (NLG). The primary objective is to generate text that is both linguistically natural and human-like, while also...

www.bing.com/ck/a?!&&p=548d072b0b30004bfc0c83365c6643bbb610bba060b1d222fc81b05a988a2d46JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=3a4e0648-726c-69ae-2f6c-115c73a16852&u=a1aHR0cHM6Ly9uZXdzLnN0b2NrdHJhZGVyc2RhaWx5LmNvbS9uZXdzX3JlbGVhc2UvMS9VbmRlcnN0YW5kaW5nX3RoZV9TZXR1cDpfSk5VR19hbmRfU2NhbGFibGVfUmlza18wMjI1MjYwNzA0MDJfMTc3MjA2NDI0Mi5odG1s&ntb=1

Understanding the Setup: (JNUG) and Scalable Risk

Feb 26, 2026 · Our AI models have generated three distinct trading strategies tailored to different risk profiles and holding periods. Each strategy incorporates sophisticated risk management parameters …

arxiv.org/abs/1604.08790v1

Scrape Off Layer profiles interpreted with filament dynamics

A theoretical framework is developed to link the density profiles in the Scrape Off Layer (SOL) with the fluctuations (filaments) that generate them. The framework is based on the dynamics of independent filaments and their statistical behaviour and...

arxiv.org/abs/2503.06558v2

Generative modelling with jump-diffusions

Score-based diffusion models generate samples from an unknown target distribution using a time-reversed diffusion process. While such models represent state-of-the-art approaches in industrial applications such as artificial image generation, it has...

arxiv.org/abs/2103.11341v7

Parameterised-Response Zero-Intelligence Traders

I introduce PRZI (Parameterised-Response Zero Intelligence), a new form of zero-intelligence trader intended for use in simulation studies of the dynamics of continuous double auction markets. Like Gode & Sunder's classic ZIC trader, PRZI generates q...

www.reddit.com/r/wordle/comments/1p69m2u/daily_wordle_1621_wednesday_26_nov_2025/

Daily Wordle #1621 - Wednesday, 26 Nov. 2025

# Official Daily [Wordle](https://www.nytimes.com/games/wordle/index.html) Thread. How'd you do? Check your [Scoredle](https://scoredle.com) (and generate your spoiler tags for Reddit!) and share h...

www.reddit.com/r/passive_income/comments/1qbcb3i/a_google_sheet_makes_me_500day_heres_the_full/

A Google Sheet makes me $500/day (here’s the full system)

Built a system that sends 1000 personalized websites to local businesses every day. Each website connects to a Google Sheet so clients can edit their own content. This one feature generates $500/day ...

github.com/gianlucabinetti/AdGenie

gianlucabinetti/AdGenie

AdGenie is a next-generation creative automation platform powered by Google's Gemini 3 Pro and Gemini 2.5 Flash. It simulates a full-service creative agency (Strategist, Copywriter, Photographer) to generate high-fidelity marketing assets from a simple product…

arxiv.org/abs/1903.10000v3

Approximate Query Processing using Deep Generative Models

Data is generated at an unprecedented rate surpassing our ability to analyze them. The database community has pioneered many novel techniques for Approximate Query Processing (AQP) that could give approximate results in a fraction of time needed for...

www.bing.com/ck/a?!&&p=d08b0c57d43f877c8569f06fccb2a653e4af0ce86aa071e22cc76941a173090cJmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=1e6882c2-f7f9-6591-2ee2-95d6f6f66437&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvMjMyNTkxNzMvdW5leHBlY3RlZC1jaGFyYWN0ZXItZW5jb3VudGVyZWQtd2hpbGUtcGFyc2luZy12YWx1ZQ&ntb=1

Unexpected character encountered while parsing value

The API worked fine from Swagger. It would generate {"Unexpected character encountered while parsing value: e. Path '', line 0, position 0."} on using the published Blazor Server application. Both …

arxiv.org/abs/2509.11026v1

Rethinking Human Preference Evaluation of LLM Rationales

Large language models (LLMs) often generate natural language rationales -- free-form explanations that help improve performance on complex reasoning tasks and enhance interpretability for human users. However, evaluating these rationales remains chal...