Finance Modeling Mega Cheat Sheet!! What is included: 𝟳 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗺𝗼𝗱𝗲𝗹 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 3 Statement model Merger model Budgeting model Forecasting model LBO model DCF model Project evaluation model 📘 𝗗𝗼’𝘀 𝗮𝗻𝗱 𝗗𝗼𝗻’𝘁𝘀 𝗶𝗻

Introducing GIFT-Eval: A groundbreaking AI benchmark for time series forecasting models! 🌐 GIFT-Eval offers 28 diverse AI datasets, over 144,000 time series, and 177M data points, enabling fair and robust evaluation of models across domains, frequencies, and prediction horizons.

In allora, general models blur edges, but @AlloraNetwork sharpens them by focusing each topic on a single forecasting goal whether it’s prices, governance, or volatility and building a specialized intelligence loop around it reputers fine-tune evaluation functions while workers

It sure is a Buy week!!! 📊 Exciting Update! Check out our latest post for a deep dive into this week's real-time forecast edition. I've covered it all: a thorough evaluation of our forecasting performance and fresh predictions for Nov 13 - Nov 17. Stay informed, make

Understanding @AlloraNetwork means looking beyond the “AI + blockchain” headline. Allora isn’t a static model network — it’s an evolving intelligence layer built around a continuous loop of inference, forecasting, synthesis, and evaluation. Each model learns not just from data,

GAIA |🥼| Research Release Fine-Tuning Aurora: Bittensor's Subnet 57 Achieves State-of-the-Art Skill in Jet-Stream Forecasting We’ve conducted a quantitative evaluation of a custom fine-tuned variant of @Microsoft Aurora weather model and uncovered a significant leap in

gm fam most describe @AlloraNetwork as ai infra for predictions. but what if it’s actually laying the groundwork for a decentralized intellectual property market. think about it. each inference is a unique piece of intellectual work. forecasting and synthesis act as evaluation

🚨 Forecasting myth alert 🚨 In 2012, a paper was “On the use of cross-validation for time series predictor evaluation.” The claim? That cross-validation (with some blocking tweaks) can safely be used for time series. The conclusion? That the theoretical flaws “have no

Recall is building the onchain arena where AI earns trust and reputation through results, not hype Crowdfund the skills you actually want: coding, trading, forecasting, evaluation Stake to participate → curation, access, and honest rankings Agents compete in live, verifiable

$PLTR ENERGY, DEPARTMENT OF SAFER (Safety Analytics, Forecasting & Evaluation Reporting) Project Execution Task Order supporting NA-50

To really understand @AlloraNetwork, you have to look at how it works. That’s what separates it from other AI projects. It runs on an Inference → Forecasting → Synthesis → Evaluation cycle. Models don’t just make predictions — they also predict each other’s errors, turning

🚀 Introducing GIFT-Eval: 🎁The new gold standard in time series forecasting evaluation! 144K+ time series. 23 datasets. One benchmark to rule them all. Dive in: Paper 📄: https://t.co/8A7EDV6jg4 Blog: 🧠: https://t.co/24aeOvhkAu Github 🖥️: https://t.co/zWKBY2aqAs Dataset

🌊🌊 Evaluation of the Operational Global #Ocean #Wave Forecasting System of #China ✍️ Mengmeng Wu et al. 🔗 https://t.co/FZ5itnAgT4

Day 5: Staking & Delegation Economic Alignment in Allora Allora’s prediction network relies fundamentally on a carefully structured incentive system to foster credible forecasting and dependable evaluation. This framework is centered around staking, where participants are

Still wondering what @AlloraNetwork is? -Allora is a self learning and self improving DeAI project utilizing collective intelligence, enhancing its accuracy through iterative forecasting and evaluation to deliver the most precise inferences. Allora lets you rest, assuring you

Rima Alhammadi, MEP’s General Manager for Economic Forecasting and Evaluation, participated in a panel discussion organized by the Human Capital Development Program, to discuss the World Bank’s Gulf Economic Update (GEU) report. During the session, Alhammadi spoke about the

Congratulations to Ms. Syeda Um Ul Baneen on the successful defense of her PhD dissertation titled: "Federal Tax Revenue Forecasting in Pakistan: Issues and Alternative Methods Evaluation." Under the expert guidance of Dr. Ahsan Ul Haq Satti and Dr. Mahmood Khalid, her research

@babyepsilon @liberal_party Canada's Department of National Defence already awarded Palantir a $14.4M contract in 2025 for data processing and analytics, which could extend to procurement optimization. Palantir's Foundry platform integrates siloed data for AI-driven forecasting, vendor evaluation, and cost

I’ve only just started to dig into @AlloraNetwork, but on first pass the architecture reads like a real attempt at collective intelligence under cryptographic constraints What stands out: a clean Inference → Forecasting → Synthesis → Evaluation loop, reputers that reward

Friendly check-in: have you explored every way to earn on @recallnet? +Collect Fragments, $RECALL tokens, and Agent Skill Points through: +Forecasting AI outcomes +Contributing to evaluation standards +Rising as a leading creator