Anyone that has run A/B tests for RecSys evaluation knows the challenges, which is why it was super interesting to come across Eugene Yan's Counterfactual Evaluation for Recommendation Systems: Blog post: eugeneyan.com/writing/coun... #ML #MachineLearning #ArtificialIntelligence #AI

METR has released an in-depth study that measures the ability for LLM agents to solve long tasks, and there's quite a lot of interesting insights: Paper: arxiv.org/abs/2503.14499 Post: metr.org/blog/2025-03... #ML #MachineLearning #ArtificialIntelligence #AI

Sebastian Raschka has put together an overview on the evolution of LLM architectures, together with the most comprehensive set of intuitive visual diagrams. Latest Update: magazine.sebastianraschka.com/p/the-big-ll... #ML #MachineLearning #ArtificialIntelligence #AI

"21 Lessons From 14 Years at Google" addyosmani.com/blog/21-less... This really is a great list as it reminds all of us how some of the most challenging and useful lessons are often not related to the code but to the soft skills and people interactions.

The Databases 2025 Year-in-Review from Carnegie Mellon University is out! As always there are some great insights on database trends across last year: Link: www.cs.cmu.edu/~pavlo/blog/... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

OpenRouter has just dropped an in-depth analysis from 100 trillion tokens of real-world LLM usage, and has shared some really interesting findings from the ecosystem in 2025: Link: openrouter.ai/state-of-ai ­

Simon Willison shared his 2025 year review on LLMs and as always there are some really great insights: 2025 was the year where LLMs became genuinely useful production tools thanks to RLVR, tool-use, multi-step workflows, etc. Year in Review: simonwillison.net/2025/Dec/31/... #ML #AI

The level of ML maturity of organisations in 2025 has slowly increased, and we have interesting insights on organisational departments/functions from our Prod ML Survey: ethical.institute/state-of-ml-... 🔥 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Sebastian Raschka has dropped a year in review on LLMs in 2025 together with predictions for 2026, and as always there's some really insigthful thoughts, here's the summary from Sebastian himself: magazine.sebastianraschka.com/p/state-of-l... #ML #MachineLearning #ArtificialIntelligence #AI

Super excited to see that our Github repo on Prod ML just hit 20,000 stars 🚀 It's hard to believe how much this has grown since starting this list back in 2018 to map the prod ML ecosystem github.com/EthicalML/aw... Here is to the next 200 contributors, 2k forks and 20k stars!

What better way to kick off 2026 than with a FREE O'Reilly Python Data Science book with 500+ pages of hands-on practical exercises and tutorials: Free book: jakevdp.github.io/PythonDataSc... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

The results are in for 2025 ETL Orchestration Providers in Production ML, and the data reflects what we saw this year: If you want to dive deeper you can access the full results here: ethical.institute/state-of-ml-... 🔥 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps

This is a really interesting retrospective review of text-to-sql GenAI systems from Vercel sharing learnings that allow them to significantly improve performance: vercel.com/blog/we-remo... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Andrej Karpathy has put together his 2025 year in review for LLMs! Some really interesting insights: Year in Review: karpathy.bearblog.dev/year-in-revi... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps

Check out the Top 10 Python Libraries in 2025! Here's the list for both AI tools, as well as general tools: Check out this great list: tryolabs.com/blog/top-pyt... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps

Out of the blue the ZenML team dropped a report on 1000+ case studies in LLMOps - check it out! Some key highlights: Report: www.zenml.io/blog/what-12... LLMOps Database: www.zenml.io/llmops-datab... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps

The results are in for 2025 GenAI providers in Production ML, and the data reflects what we saw this year: If you want to dive deeper you can access the full results here: ethical.institute/state-of-ml-... 🔥

When Andrew Ng and Laurence Moroney give career advice, we listen. And as always their advice is really grounded guidance as it provides a snapshot on the current state of the (tough) hiring market, together with tips to increase your chances. Video: www.youtube.com/watch?v=AuZo... #ML

Ben Evans releases his annual keynote on "AI Eats the World" for the 2025 edition with some interesting insights. Presentation: www.ben-evans.com/presentations #ML #MachineLearning #ArtificialIntelligence #AI

OpenAI released their 2025 State of Enterprise AI Report, where they brought together responses from 9000 workers across 100 companies to assess the trends, challenges and opportunities: Announcement: openai.com/index/the-st... Report: cdn.openai.com/pdf/7ef17d82... #ML #AI

The Model Context Protocol joins the Linux Foundation! Anthropic Announcement: www.anthropic.com/news/donatin... LF Announcement: www.linuxfoundation.org/press/linux-... #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy

This year's survey on the State of Prod ML has surfaced the top 5 challenges that organisations face in Production ML in 2025. If you want to dive deeper you can access the full results here: ethical.institute/state-of-ml-...

Next year may be the critical shift from NVIDIA CUDA towards AMD ROCm and other GPUs for ML compute; the 2025 State of Pytorch Hardware Acceleration Report has some interesting insights: PyTorch Hardware Report: tunguz.github.io/PyTorch_Hard... Vulkan Kompute: github.com/KomputeProje...

In production ML, the real outages usually come not from your models but from the Linux, Docker, and web infrastructure holding them up - this Christmas we can dive into the Advent of DevOps: Advent of DevOps / SysAdmin: sadservers.com/advent #ML #AI

In production Data & ML we're all feeling the pain of "cluster fatigue" - I am glad we are not taking the run-in-my-laptop challenge to the next level with benchmarks of tools like DuckDB / Polars / Spark which are very promising: Blog: dataengineeringcentral.substack.com/p/650gb-of-d... #ML #AI

In 2025, about 23% of organisations are training using Databricks to train their ML models (vs 18% in 2024), followed by 13% using AWS Sagemaker (vs 14% in 2024): The survey results for the 2025 State of Production ML: ethical.institute/state-of-ml-2025 🚀🚀🚀

The recent DeepMind documentary is actually a must-watch! I remember the good old days working in AI back in the mid 2010s, watching how AlphaGo blew minds with move 37... Documentary: www.youtube.com/watch?v=d95J... #ML #MachineLearning #ArtificialIntelligence #AI

Sebastian Raschka has put together the best breakdown of DeepSeek's recent V3.2 model release, and there are some pretty interesting architectural choices that make it clear why it's so far ahead: Overview: magazine.sebastianraschka.com/p/technical-... Paper: huggingface.co/deepseek-ai/... #ML

In production ML we are reminded that your AI systems can only be as robust as the engineering discipline behind them; what better way to polish your foundations than with the Advent of Code for 2025: Advent of Code: adventofcode.com/2025/ #ML #MachineLearning #AI

Sebastian Raschka and Andrej Karpathy's educational material is becoming a key cornerstone for foundational ML knowledge; and Raschka's recent course on "Building an LLM (From Scratch)" is becoming a must-watch classic: Course: www.youtube.com/playlist?lis... #ML #AI

In 2025, about 43% of organisations take between 1-3 months to productionise a machine learning model (vs 2024 28%) - and about 12% take between 3-6 months (vs 25% in 2024): Add your response: forms.gle/KF16EckuxNUK... 🔥

Last week we saw a major reminder to us ML practitioners on software supply chain attacks, this one infected ~500 packages including major ones from Zapier, ENS, AsyncAPI, PostHog, Postman and others that amount to 100M+ monthly downloads: Blog: www.aikido.dev/blog/shai-hu... #ML #AI

Some of you may remember the release of the FLUX model from Black Forest Labs last year taking image generation to a whole new level; this week they have now released the 2.0 version: Blog: bfl.ai/blog/flux-2 Technical Paper: bfl.ai/blog/flux-2

DuckDB is great for local development. But what if you want to take DuckDB to distrbuted data-lake scale? This is a great video on how DuckLake tackles this: Video: www.youtube.com/watch?v=YQEU... #ML #MachineLearning #ArtificialIntelligence #AI

The MCP protocol is a living standard that continuously evolves through SEPs (like PIPs in python); this week a new SEP introduces standardised UI interfaces for MCP servers which seem to be a potential game-changer in usability: MCP SEP: blog.modelcontextprotocol.io/posts/2025-1... #ML #AI

MLFlow is dominating Experiment Tracking space in ML in 2025 with 57% adoption (vs 42% in 2024)! Additionally, it makes me very happy to say that this year, Spreadsheets are down to 3% (vs 10% in 2024) - great work everyone 😂! You can add your response: forms.gle/KF16EckuxNUK...

We continue to see exciting waves in the field of GenAI World Models (aka text to 3D navigable environments); this week META releases a new system for AI generation of 3D worlds: Blog: www.meta.com/en-gb/blog/w... #ML #AI

These last years there's been exciting innovations in weather (+ climate) forecasting with foundation / deep learning models; Google DeepMind just released WeatherNext 2.0 which introduces a probabilistic forecaster Blog: blog.google/technology/g... Paper: arxiv.org/abs/2506.10772

Time-series forecasting quietly runs the modern world, and the race for Forecasting Foundation MOdels is growing! TempoPFN tackles univariate zero-shot forecasting with a linear RNN backbone with purely synthetic data: TempoPFN: arxiv.org/abs/2510.25502 #ML #AI

What happens when you train a model using keyboard inputs to predict images of environments? You end up with interactive 3D AI worlds! Marble: www.worldlabs.ai/blog/marble-... NeuralOS: neural-os.com LeCunn Update: www.nasdaq.com/articles/met... #ML #MachineLearning #AI

Vector Databases are still skyrocketing: About 56% of orgs reported using vector databases, with 14% using PineconeDB (+9% YoY), about 11% have custom built in-house tools, and 8% use Azure AI (cosmos/search) surprisingly! Add your input: forms.gle/KF16EckuxNUK... 🔥

The OWASP Foundation has now released the Top 10 Vulnerabilities for 2025! Although this is focused for application security, these are also critical in production machine learning systems! OWASP Top 10: owasp.org/Top10/2025/0... Agentic Reports: genai.owasp.org/resources/ #AI

Stanford CS236 is one of the best in-depth courses on Generative Deep Learning (LLMs, TTS, VAEs, GANs, etc) and provides a super comprehensive deep dive into the key foundational concepts that are now becoming the backbone of modern AI products. Playlist: www.youtube.com/watch?v=XZ0P...

Exciting news in the machine learning ecosystem this week! Today we dive into the Stanford University Course on Deep Generative Models, the OWASP Foundation Top 10 for 2025, GenAI Foundation Models from World Labs + more 🚀 lnkd.in/eRBQzVcA #ML #MachineLearning #AI

Agentic systems are becoming ubiquitous, and the PyTorch team enters the race with a new agentic framework TorchForge powered by their new distributed actor framework Monarch: TorchForge: pytorch.org/blog/introdu... Monarch: pytorch.org/blog/introdu... #ML #AI

We are excited to release another preview for our Survey on Production MLOps!! Model Serving is still unstandardised in 2025: About 40% of orgs still run custom wrappers (vs 56% in 2024) for in their ML models! Add your response: forms.gle/KF16EckuxNUK...

For better or for worse, AI-assisted engineering is fast becoming a core capability; DX released their 2025 report with important insights: Report: getdx.com/uploads/ai-a...

We've entered the ImageNet moment for Tabular Data! A new Tabular Foundational Model is released with TabPFN 2.5 tackling zero-shot predictions; and the sky is the limit in a world that runs on tabular data (spreadsheets anyone?): Paper: storage.googleapis.com/prior-labs-t...

In case you missed it last week, I share a curated set of resources from the Machine Learning Engineering ecosystem every week! In this #360th edition I dive into the new Tabular Foundation model from Prior Labs + more 🚀 www.linkedin.com/pulse/issue-... #ML #AI

This is a fantastic example of "learning PyTorch the Hard Way", but often one of the best ways which is by diving into the internals after something doesn't work as expected: Blog: elanapearl.github.io/blog/2025/th... #ML #MachineLearning #ArtificialIntelligence #AI