#probabilisticprogramming kết quả tìm kiếm
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

Proof of intelligence: Part 1 - determinism most models deliver outputs that can’t be recreated or verified across systems. as OpenGradient engineers put it: if two machines can’t agree on the same result, proof doesn’t exist. OpenGradient fixes this by running every model…

This one blew my mind. 🤯 A team from Tsinghua, Peking & Michigan just dropped a paper that could completely change how we think about AI safety. They basically said: “Stop trying to prove AI will never fail that’s impossible. Instead, prove it fails so rarely that it’s…

Greta: #ProbabilisticProgramming in #R greta-dev.github.io/greta/index.ht… Based on #TensorFlow with very nice #PyMC3-style model definition syntax.

If your sidewalk is wet, does that mean it rained? Not always. Someone could have spilled a bucket of water. Now imagine training an AI to make that call. Welcome to probabilistic thinking! It's not just logic. It's Bayesian inference, the math that lets machines (and humans)…

maybe : See what a program does before deciding whether you really want it to happen : github.com/p-e-w/maybe

Breakdown of the blog: Imagine you ask a friend the same question twice, and they give you slightly different answers each time. This is like what happens with big computer programs called Large Language Models, or LLMs. Even when you tell them to be super precise, they still…

Two prisoners are sitting in a dark cell watching a wall. One is looking at the star, the other is trying to infer the boundaries of the window. Preparing a presentation on #probabilisticprogramming.


a free 400-page book "Probabilistic AI" just dropped on arxiv. It's based on the same course at the ETH university and it covers: > probabilistic ML > deep learning > reinforcement learning > bayesian optimization It includes the theory and the math behind essential AI topics


How to read "Probabilistic Reasoning in Intelligent Systems" as a half-Bayesian? ;) Is it still relevant for your current views? @yudapearl

A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

We’re on Discord! 🎧🚀 Moving beyond GitHub discussions—join the new RxInfer server (by @LazyDynamics ) to chat, ask Qs, get updates, and plan hackathons. Jump in: discord.gg/UvMhrbQh #RxInfer #BayesianInference #ProbabilisticProgramming
We’re on Discord! You asked for better community engagement around RxInfer & RxInfer Pro—so here it is. Join us for Q&A, updates, hackathons & more. It’s quiet now, but let’s build it together. 📷 discord.gg/UvMhrbQh #RxInfer #BayesianInference #ProbabilisticProgramming
PhD Position in Probabilistic and Differential Algorithms 📍Utrecht, Netherlands Apply now: researchhires.com/position/b3eed… #PhD #ProbabilisticProgramming #DifferentialAlgorithms #UtrechtUniversity #Researchhires #MachineLearning #AI #STEMCareers
Thanks to @LazyDynamics for open-sourcing latent vector autoregressive model for RxInfer! Handles 20 5th-order AR processes, 2000 noisy obs, and 50-step predictions in 3s. 🔗examples.rxinfer.com/categories/exp… #ProbabilisticProgramming #OpenSource #RxInfer
Big thanks to @alex_andorra & @ChrisWymant for a great #StanCon 2024 panel! We covered epidemiology vs biology, infectious diseases vs NCDs, generative emulators, graph GPs, sequential data collection, and, of course, #ProbabilisticProgramming.
Why guess when you can be Bayesian? Embrace uncertainty in your models with Bayesian inference. #BayesianInference #ProbabilisticProgramming #MachineLearning

MITの研究者がデータベース検索を強化する生成AIツールを開発 #GenSQL #AItool #probabilisticprogramming #databasequeries prompthub.info/26829/
GenSQL: 統合表形式データ分析のための確率的プログラミングを進化させるデータベース用生成 AI システム - MarkTechPost #GenerativeModels #ProbabilisticProgramming #GenSQL #BayesianAnalysis prompthub.info/26367/
GenSQL: A Generative AI System for Databases that Advances Probabilistic Programming for Integrated Tabular Data Analysis itinai.com/gensql-a-gener… #GenSQL #AI #ProbabilisticProgramming #DataAnalysis #ArtificialIntelligence #ai #news #llm #ml #research #ainews #innovation #arti…

MIT の研究者がデータベース分析用の新しい AI 駆動型 SQL を導入 #GenSQL #DataAnalysis #ProbabilisticProgramming #DataInsights prompthub.info/25216/
@prod42net Navigating uncertainty with probabilistic programming, predicting various outcomes. Valuable insights indeed! #DataScience #ProbabilisticProgramming 🧙♂️📊
🔮 Learn to navigate uncertainty with probabilistic programming. Predict weather, stocks, diagnoses, and more with mathematical models. Thanks to ShaaN for the insights! #DataScience #ProbabilisticProgramming ift.tt/7Hn56L0
The Bayesian revolution Try #probabilisticprogramming theactuary.com/2024/04/04/bay… @TheActuaryMag
Greta: #ProbabilisticProgramming in #R greta-dev.github.io/greta/index.ht… Based on #TensorFlow with very nice #PyMC3-style model definition syntax.

Practical #ProbabilisticProgramming - Final PDF eBook Edition available now! manning.com/books/practica… @avipfeffer

Aujourd'hui, au #voxxed_lu @DidierGirard nous parlera de #probabilisticprogramming via «Tuer un piéton ou sacrifier les passagers ?» !

Probabilistic data structures are powerful tools for approaching problems that would otherwise be computationally prohibitive. Even so, it takes careful engineering to use them effectively. Go more in-depth: bit.ly/3ivfMR9 #Probabilisticprogramming

Practical #ProbabilisticProgramming is in print now! ePub + Kindle: April 15 manning.com/books/practica… @avipfeffer

Why guess when you can be Bayesian? Embrace uncertainty in your models with Bayesian inference. #BayesianInference #ProbabilisticProgramming #MachineLearning

Blogpost by @ChadScherrer on Bayesian Optimal Pricing using #PyMC3 buff.ly/2I8xonn #ProbabilisticProgramming #MachineLearning #DataScience




Author of Practical #Probabilistic #Programming @avipfeffer talking Bayesian Networks goo.gl/UUh4QB #probabilisticprogramming

Greta: An #Rstats package for simple Bayesian modeling [in a-few lines of code]: buff.ly/2wQEkA5 Uses #TensorFlow as computational backend. #ProbabilisticProgramming #MachineLearning #DataScience
![Emaasit's tweet image. Greta: An #Rstats package for simple Bayesian modeling [in a-few lines of code]: buff.ly/2wQEkA5
Uses #TensorFlow as computational backend. #ProbabilisticProgramming #MachineLearning #DataScience](https://pbs.twimg.com/media/DdfbsdiV4AALF-l.jpg)
![Emaasit's tweet image. Greta: An #Rstats package for simple Bayesian modeling [in a-few lines of code]: buff.ly/2wQEkA5
Uses #TensorFlow as computational backend. #ProbabilisticProgramming #MachineLearning #DataScience](https://pbs.twimg.com/media/DdfbsmEUQAAx5pt.jpg)
Excited to join @HaystaxTech as a Data Scientist working out of the HQ in Washington, D.C. Looking forward to continue my work in #Bayesian modeling & #ProbabilisticProgramming, among other tasks.

In this blogpost, @twiecki demystifies copulas through a simple visual guide: buff.ly/2HMIiLc. #ProbabilisticProgramming #MachineLearning #DataScience

Blog post: Hierarchical #Bayesian rating model in #PyMC3 with application to eSports by Kevin Pei. bit.ly/2iWfyVX #ProbabilisticProgramming #DataScience




RT Bayesian Logistic Regression dlvr.it/SCbwFC #logisticregression #julialang #probabilisticprogramming

Benefits of Probabilistic Programming zcu.io/33ie #ProbabilisticProgramming #ProgrammingTools #MachineLearning #DeepLearning #DeepNeuralNetwork #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

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