Browsing: Data Science
To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine tuning.Photo by Volodymyr Hryshchenko on Unsplash.The…
Part 1 : DeterminismPhoto by ‘HH’ on Pexels.comData science is a very technical, in-the-weeds type of work. We are often laser focused on very specific problems…
Get started with multimodal conversational models using the open-source LLaVA model.Photo by Izabela Kraus on UnsplashLarge Language Models have proved themselves to be a revolutionary technology.…
How to build systems to generate more — with lessIn “The E-Myth Revisited: Why Most Small Businesses Don’t Work and What to Do About It”, Michael…
|MODEL DISTILLATION|AI|LARGE LANGUAGE MODELS|Distilling the knowledge of a large model is complex but a new method shows incredible performancesPhoto by JESHOOTS.COM on UnsplashLarge language models (LLMs)…
Unlocking the power of Hive: your in-depth guide with visual mindmap InsightsImage by Author via ObsidianIntroductionNavigating the labyrinth of big data can be a daunting endeavor,…
If you were to ask GPT, how to create a graph of knowledge from a given text? it may suggest a process like the following.Extract concepts…
Achieving high speed outside the native Polars libraryGenerated by DALL-E 3Polars is taking the world by storm thanks to it’s speed, memory efficiency, and beautiful API.…
Photo by Ali Kazal on UnsplashThe goal is to reliably and efficiently release data into productionData Pipelines are series of tasks organised in a directed acyclic…
Bridging the gap between GenAI and sports analyticsPhoto by Zetong Li on UnsplashSince my first article about StratFormer, I received a relatively great amount of feedbacks…