Rajiv Shah - rajistics blog

I have been skeptical of Graph RAG.

I keep hearing the model labs tell a story that as models get better, you need to give the model less direction, and the coding agent harnesses around them should get simpler.

I sit in the middle of corn fields and watch the live stream.

Coding agents are forcing a shift in how we think about AI systems.

I’ve always been interested in how teams innovate when building AI.

Annoyed by the “X is dead” or “have you seen this game-changer technology?”

target_leakage.jpg Machine learning is a glass cannon.

Generative AI projects rarely fail because teams cannot get a model to produce a good demo.

Video Watch the full video Annotated Presentation Below is an annotated version of the presentation, with timestamped links to the relevant parts of the video for each slide.

Want to know the best places for the latest data science, AI, ML news?

When working with machine learning models, preparing data properly is essential.

How to Select the Best Features for Machine Learning!

Video Watch the full video Annotated Presentation Below is an annotated version of the presentation, with timestamped links to the relevant parts of the video for each slide.

Video Watch the full video Annotated Presentation Below is an annotated version of the presentation, with timestamped links to the relevant parts of the video for each slide.

Video Watch the full video Annotated Presentation Below is an annotated version of the presentation, with timestamped links to the relevant parts of the video for each slide.

This notebook introduces several key features of Snowflake ML in the process of training a machine learning model for forecasting Chicago bus ridership.

Video Watch the full video Annotated Presentation Below is an annotated version of the presentation, with timestamped links to the relevant parts of the video for each slide.

Reasoning Introduction I was wowed by ChatGPT.

SetFit Introduction We change our conversational style from informal to formal speech.

SetFit Introduction Data scientists often do not have large amounts of labeled data.