There are thousands of machine learning algorithms, but you'll rarely need more than a handful. A good start: • Linear/Logistic Regression • Decision Trees • Neural Networks • XGBoost • KNN • K-Means • PCA Would you add anything?

We have been benchmarking several generative AI models Here is what we found - OpenAI is way ahead of open source - Facebook’s OPT model, trained on FB posts, is racist - Google’s Flan is Ok but much worse than GPT3 - HuggingFace’s BLOOM is the worst of the lot

Building machine learning systems is hard. Some of the components you need: 1. Data connectors 2. Data pipelines 3. Feature stores 4. Model training 5. Model evaluation 6. Model deployment 7. Model monitoring 8. Predictions API Our end to end MLOps platform has if all!

A few more photos from the Lexica Aperture model – it tends to get the number of fingers correct, but still has issues with the finer details. Should be live for everyone to play with this week!

Git Workflow 👇

Short and sweet #git

Only one team can save Twitter now...

My group is hiring interns for summer 2023. If you are a current PhD student and interested, please email me. Info on internship topics: gideonmann77.github.io/interns-2023.h… There are also multiple open full-time roles in AI Engineering - feel free to reach out :)

Dr surangika ranathunga and I are looking for a research engineer for our Google affiliated project.

Are you considering to apply for a Ph.D. programme in Australia? Find an extensive step-by-step guide to finding a supervisor, application process, visa process, and many important things to be consider. blog.nawaratne.com/2017/12/intern… #australia #phdstudents #research

Credits Work Chronicles

"...anyone not close to retirement must ‘learn to work with AI and not avoid it’," writes Daswin de Silva, La Trobe Business School (LBS) in the op-ed, How to learn to work with AI and not avoid it. A great explainer for the relevance and application of AI technology. Read - latrobe.edu.au/news/articles/…

Apparently ChatGPT behaves like our students. When it does not know the correct answer, it will do an interpolation and spew out nonsense. But will do so with an admirably high confidence. Nisansa de Silva #CS3052

If you are in Bendigo on 30 March, join in for a conversation on AI, is it transformative or disruptive? Details and registrations via bit.ly/3FlkcqO #AI #FutureOfWork #GenerativeAI #ChatGPT #robotics #automation #workingwithAI

There's already been a lot of interest in this paper by Yvonne Mak-Yuen looking at the assessment of somatosensation. Open access so please retweet and share so that it gets out into the clinic. Stroke Foundation European Stroke Org @SSA_Stroke World Stroke Org mdpi.com/2076-3425/13/4…

Some folks say "I'm scared of AGI" Are they scared of flying? No! Not because airplanes can't crash. But because engineers have made airliners very safe. Why would AI be any different? Why should AI engineers be more scared of AI than aircraft engineers were scared of flying?

Just released! The #AIIndex2023 rounds up the latest trends in AI. This year’s report introduces more original data than any previous edition, a new chapter on AI public opinion, and more. Here are the top takeaways: ↘️ stanford.io/3m3gStO

I'm very excited to speak at AWS Community Day #Malaysia on 22nd of July. I will be talking about why developer communities are becoming increasingly important and when is the best time to join one 🚀 To register and to find more info 👉🏽 awsug.my #AWSCommunity

Sharing my experience and learnings following #GoogleCloud #ProfessionalCloudArchitect learning pathway. In essence, maintaining commitment and discipline is the key! medium.com/@rashmika.nawa…

Is mild stroke really mild? Highlighting needs of "mild stroke" survivors in the first 12 months to improve rehab and care... mdpi.com/2076-3417/14/1… La Trobe University Professor Geoffrey Donnan AO The Florey Applied Sciences MDPI MDPI Rashmika Nawaratne Stroke Foundation FloreyStroke