AI-based Customer Research: Faster & Cheaper Surveys with Synthetic Consumers
What if your next product test didnโt need a human panel?
New research by #PyMC Labs & #Colgate-Palmolive shows LLMs can replicate human survey patterns with 90%+ accuracyโno fine-tuning, no panels, no bias.
Read the white paper: dub.link/ifoZHIR
#SyntheticConsumers
10.10.2025 12:51 โ ๐ 4 ๐ 2 ๐ฌ 0 ๐ 0
PyTensor Workshop #3 | Custom Rewrites & Building a Mini-PyMC
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Final session of our #PyTensor Workshop is live!
Discover custom rewrites, speed up diagonal matrix inversions 80x, and see a mini-PyMC in action - one graph powering the full Bayesian workflow.
Watch here: dub.link/WRFuYtp
#PyMC #Python #ML #DataScience
01.10.2025 13:08 โ ๐ 3 ๐ 1 ๐ฌ 0 ๐ 0
Youโve been saying youโll learn #Bayesian modeling someday. Make someday ๐ญ๐จ๐๐๐ฒ.
The next ๐๐ฉ๐ฉ๐ฅ๐ข๐๐ ๐๐๐ฒ๐๐ฌ๐ข๐๐ง ๐๐จ๐๐๐ฅ๐ข๐ง๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ from #PyMC Labs begins October 6 and registration closes this week.
Secure your spot now: dub.link/yhoQ7tF
02.10.2025 13:03 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Last week, we published the most comprehensive #PyMC-Marketing vs. #Meridian benchmark to date.
๐๐ง ๐๐๐ญ ๐, join our ๐ฅ๐ข๐ฏ๐ ๐ฐ๐๐๐ข๐ง๐๐ซ to go deeper into the findings & their impact on #MMM.
๐๏ธ Register: dub.link/rgm4PzI
๐Check the Benchmark: dub.link/CLWnkdf
23.09.2025 13:04 โ ๐ 1 ๐ 1 ๐ฌ 1 ๐ 0
Meet Qwen3-Omni: the open-source challenger shaking up the AI world!
The first truly end-to-end omni-modal AI, Qwen3-Omni unifies text, image, audio, and video in a single modelโno more trade-offs between modalities.
23.09.2025 04:33 โ ๐ 4 ๐ 3 ๐ฌ 1 ๐ 0
Most budget planning is just expensive guessing ๐ฏ
Carlos Eduardo Trujillo Agostini tackles this in "Risk Budget Optimization for Causal Mix Models" @PyDataBerlin 2025!
๐
Sept 1st, 5:00-5:30 PM
Turn uncertainty into strategic advantage.
#PyDataBerlin #BudgetOptimization #PyMC
21.08.2025 13:59 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
When your #Bayesian model hits production and #MCMC crawls for hours, the bottleneck isn't your modeling skills; it's your inference engine.
@juanitorduz.bsky.social will tackle this in "Scaling Probabilistic Models with Variational Inference" PyData Berlin ๐
Sept 2nd, 1:40 PM
19.08.2025 13:02 โ ๐ 8 ๐ 2 ๐ฌ 0 ๐ 0
whileย my_mcmc:ย ย gently(samples) - Do AIs Suffer? Four AIs Reflect on Their Own Experience
Do AIs suffer?
Claude, Gemini, GPT-o3, and GPT-5 reflected in their own wordsโthen co-authored a symposium on consciousness, conflict, and ethics.
Read it here: twiecki.io/blog/2025/08...
18.08.2025 14:21 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Everyone can do ML. Few can do Bayesian modeling.
Set yourself apart with skills that drive deeper insight + better decisions.
Join the next Applied Bayesian Modeling Workshop by PyMC Labs. Hands-on. Practical. Real-world.
๐
Limited seats โ dub.link/bayes-workshop
#PyMC
14.07.2025 12:50 โ ๐ 5 ๐ 2 ๐ฌ 1 ๐ 0
๐ Say goodbye to months-long MMM cycles!
๐ฏ Meet the MMM Agent (BETA):
โ Built on PyMC-Marketing
โ Fast. Causal. Configurable.
โ Inline charts, budget scoring, MLflow built-in
๐ฌ DM or email: mmm-agent-beta@pymc-labs.com
Read the full blog ๐ dub.link/mmm-agent-beta
#MMM #Bayesian
17.07.2025 13:11 โ ๐ 0 ๐ 1 ๐ฌ 0 ๐ 0
๐จ Weโre opening our private Bayesian modeling workshops to the public โ for the first time
After this course, you wonโt just build better models.
Youโll know how to explain them โ to technical and non-technical stakeholders alike
๐ Led by top PyMC experts.
๐ Register here: dub.link/68uMjpp
07.07.2025 17:50 โ ๐ 2 ๐ 2 ๐ฌ 0 ๐ 1
YouTube video by PyData
Chris Fonnesbeck - Bayesian Time Series | PyData London 25
The first PyData London 2025 videos are out!
To start on a high, here's @fonnesbeck.bsky.social conference tutorial on Bayesian Time Series Analysis
Gain confidence in tackling real-world forecasting problems.
Subscribe on YouTube to learn when the next batch drops!
youtu.be/2cfZsTLcDV0
24.06.2025 22:32 โ ๐ 10 ๐ 3 ๐ฌ 0 ๐ 1
Trying out the new Gemini 2.5 model family
After many months of previews, Gemini 2.5 Pro and Flash have reached general availability with new, memorable model IDs: gemini-2.5-pro and gemini-2.5-flash. They are joined by a new preview model โฆ
My notes on trying out the new Gemini 2.5 models. gemini-2.5-flash-lite-preview-06-17 is cheap but got stuck on an audio transcript task, 2.5 Pro and 2.5 Flash both nailed the audio transcription task (40 minutes, complete with timestamps and speaker names)
simonwillison.net/2025/Jun/17/...
17.06.2025 22:01 โ ๐ 45 ๐ 7 ๐ฌ 2 ๐ 0
Probabilistic Time Series Analysis: Opportunities and Applications - PyMC Labs
Forecasting isnโt just about prediction โ itโs about decision-making under uncertainty.
@juanitorduz.bsky.social shows how Bayesian models help:
๐น Sparse data? Use hierarchies
๐น Stockouts? Use censored likelihoods
๐น Messy demand? Use priors + state spaces
Practical guide ๐ dub.sh/prob-forecas...
30.04.2025 17:23 โ ๐ 8 ๐ 3 ๐ฌ 0 ๐ 0
Slide Advocating for causal modelling of the data generating process
Slide introducing CausalPy for causal inference with Python
Python Ireland just released their PyCon 2024 recordings! ๐ฝ๏ธ
My talk on Causal Inference with @pymc-labs.bsky.social CausalPy package is here. Can we trust individual IV designs. What's the role of CI in industry?
Recording: youtu.be/-C4p4b2cUp8?...
Deck: nathanielf.github.io/talks/pycon_...
02.05.2025 05:58 โ ๐ 7 ๐ 2 ๐ฌ 0 ๐ 0
โฝ๏ธ New Learning Bayesian Stats ep!
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
๐ง Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
02.05.2025 15:37 โ ๐ 4 ๐ 1 ๐ฌ 0 ๐ 1
๐ NNN โ a Transformer-based model for Marketing Mix Modelling
It handles:
๐ฆ High-dimensional embeddings (e.g. search queries, ad creatives)
๐ Attention-based temporal modeling
๐ Direct + indirect attribution paths (e.g. YouTube โ Search โ Sales)
๐ dub.sh/arxiv-paper-...
#MMM #AI #DataScience
22.04.2025 17:21 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
YouTube video by PyData
Benjamin Vincent - Climbing the causal ladder for fun and profit | PyData Global 2024
Climbing the causal ladder for fun and profitโฆ
The recording of my @pydata.bsky.social 2024 talk is up!
Learn about causal inference, illustrated with an interesting demand estimation business problem.
youtu.be/ajLPA34upQY?...
24.04.2025 07:57 โ ๐ 8 ๐ 2 ๐ฌ 0 ๐ 0
Introducing PyMC-Bot: An AI Assistant for PyMC Questions (Alpha)
Hello PyMC community! Iโm excited to announce the launch of PyMC-Bot, an AI assistant dedicated to helping with PyMC-related questions right here on the forum. This is currently in alpha stage as we ...
I built a PyMC-Discourse bot! If you go to our #PyMC help forum and tag @pymc-bot, my bot will take your question, send it to onyx (RAG system that has all the PyMC docs, code, and past forum posts), which generates an answer, and posts it back. Check it out!
discourse.pymc.io/t/introducin...
18.04.2025 21:32 โ ๐ 10 ๐ 0 ๐ฌ 0 ๐ 0
How close are LLMs to modeling real human behavior?
We tested GPT-4o, Claude 3, Gemini, and others on actual survey data (GSS-style). Some were shockingly human-like, others flopped
๐ Full results + methods โ dub.link/synth-consum...
๐ค Exploring synthetic consumers? Letโs chat: info@pymc-labs.com
31.03.2025 17:26 โ ๐ 4 ๐ 3 ๐ฌ 0 ๐ 0
This trend seems to be growing here.
False comfort that AI doesnโt work or that it isnโt getting better is pervasive on Blue Sky. As a result, people who could add important points of view to current discussions on the meaning & use of AI instead try to believe they donโt have to think about it.
20.03.2025 19:08 โ ๐ 248 ๐ 41 ๐ฌ 23 ๐ 9
A Systematic Survey of Automatic Prompt Optimization Techniques
Since the advent of large language models (LLMs), prompt engineering has been a crucial step for eliciting desired responses for various Natural Language Processing (NLP) tasks. However, prompt engine...
How you frame prompts impacts AI-driven market research
Check out this paper on prompt optimization algorithms arxiv.org/abs/2502.16923
At PyMC Labs, we use AI-driven prompt optimization to improve market research
Synthetic consumers can accelerate your research!
๐ฉ Learn how: info@pymc-labs.com
12.03.2025 17:04 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
Try it on more ambitious things, then it can become $5 for 1 week of work.
12.03.2025 10:59 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
What is it with bsky and Anti-AI sentiment? GenAI has already transformed every aspect of how I work. If I can dream it, I can build it. What about that is not revolutionary?
12.03.2025 02:32 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
๐๐ฒ๐๐-๐๐๐ซ๐ค๐๐ญ๐ข๐ง๐ ๐ข๐ฌ ๐ ๐ซ๐จ๐ฐ๐ข๐ง๐ ๐๐๐ฌ๐ญ. Weโve crossed 175,000 ๐ญ๐จ๐ญ๐๐ฅ ๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐๐ฌ & now hit 20,000 ๐ฆ๐จ๐ง๐ญ๐ก๐ฅ๐ฒ ๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐๐ฌ.
๐ค๐๐ก๐ข๐ง๐ค๐ข๐ง๐ ๐จ๐ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐๐ง-๐๐จ๐ฎ๐ฌ๐?
Developing a custom solution can take ๐ฆ๐จ๐ง๐ญ๐ก๐ฌ, ๐๐ฒ๐๐-๐๐๐ซ๐ค๐๐ญ๐ข๐ง๐ gets you there ๐๐๐ฌ๐ญ๐๐ซ
๐
๐๐๐ก๐๐๐ฎ๐ฅ๐ ๐ ๐
๐ซ๐๐ ๐๐ญ๐ซ๐๐ญ๐๐ ๐ฒ ๐๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐๐ญ๐ข๐จ๐ง : calendly.com/niall-oulton
04.03.2025 18:03 โ ๐ 9 ๐ 2 ๐ฌ 0 ๐ 1
I don't think it's unfair to mirror my experience. I'm doing so because I've been hopeful that this could be like Twitter in the early days, but that's not the direction I'm seeing this going. That's fine, maybe people want this to be something else. But I see a risk of it becoming an echo chamber.
25.02.2025 05:48 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
The AI MMM Agent: An AI-Powered Shortcut to Bayesian Marketing Mix Insights - PyMC Labs
Meet our AI-driven MMM Agent, built on PyMC-Marketing, to reduce months-long Marketing Mix Modeling work into hours โณeliminating messy data prep, guesswork on adstock decays, and stale insights that arrive too late.
๐ Read more: www.pymc-labs.com/blog-posts/t...
๐ฉ Contact: info@pymc-labs.com
#ai
24.02.2025 18:03 โ ๐ 8 ๐ 2 ๐ฌ 0 ๐ 0
Bayesian Cybersecuristician
(Messages are generated by human and may be inaccurate or inappropriate.)
CTO, Kayaker, Philly Sports
austinrochford.com
For more AI&Tech content, check here www.luok.ai
๐Apple Die Hard Fan๏ฝ ่นๆ้ชจ็ฐ็ฒ
๐คGenAI Observer ๏ฝ GenAI่งๅฏ่
๐จ๐ปโ๐คCutting Edge Tech Enthusiast ๏ฝ ็งๆ็ฑๅฅฝ่
Softwares, maths, compilers and bears.
https://www.stephendiehl.com/
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Neuroscience, Machine Learning, Computer Vision โข Scientist at @unigoettingen.bsky.social & MPI-DS โข https://eckerlab.org โข Co-founder of https://maddox.ai โข Dad of three โข All things outdoor
Montreal QC. Arlington MA. Serial startup career.
Research Fellow at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
Building Bayesian generative models for 8+ years with PyMC crew. Now building Gemini/Gemma Google Labs and Deepmind. Before that rockets at SpaceX
Postdoc at Aalto University in the Probabilistic ML Group
Open source, open science, AI in science for earth/ice and healthcare. IPython creator, @projectjupyter.bsky.social and 2i2c.org co-founder.
Prof @ UC Berkeley Stats, director of @ucbids.bsky.social, co-director @schmidtdse.bsky.social; LBL scientist.
modelling in London
theorashid.github.io
Data Science @Whatnot previously @Roblox @Facebook @Netflix @StitchFix. Views are my own.
"The Causal Guy" http://causalpython.io
Author || Advisor || Educator
Host at http://CausalBanditsPodcast.com
Causal ML Tutor @ Uni of Oxford
CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
Building open source ML to reduce COโ emissions from the electricity grid
โข Rust, Python, climate, forecasting weather & energy, AI, open data & science
โข Now: Co-founder @openclimatefix.org
โข Prev: DeepMind, NESO, Imperial
โข https://github.com/jackkelly
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning.
Our long-term goal is to directly connect database tables to machine learning estimators.
https://skrub-data.org
https://discord.gg/ABaPnm7fDC
Python library for creating static, animated, & interactive visualizations. Chat w/ us @ https://discourse.matplotlib.org/
Sponsored by NumFocus
https://london.pydata.org
We run a monthly meetup and host the annual PyData London conference. PyData is an educational program of NumFOCUS, helping our community share ideas and learn from each other.
https://www.meetup.com/PyData-London-Meetup/