Andreessen Horowitz

SEPTEMBER 25, 2023

Suddenly, the LLM is spitting out your code or your source. Big vs. small LLMs Ben: Interesting. From a strategy standpoint, let’s say you had a big dataset like a healthcare dataset, some kind of security dataset, or Nielsen’s dataset. Can they build a better model themselves for that with their data?

Enterprise 110

Enterprise AI Artificial Intelligence Generative AI 110

User Pilot

JULY 28, 2024

For instance, a data scientist at a healthcare company might focus on analyzing patient data to identify patterns and predict health outcomes, while a data scientist at a financial institution might specialize in developing fraud detection algorithms and risk assessment models. This is crucial for building reliable models.

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

User Pilot

JULY 14, 2024

Source, clean, and transform large and complex datasets from various sources. Design, develop, and implement machine learning models and statistical analyses to extract meaningful patterns and trends. Proficiency in machine learning algorithms (supervised & unsupervised learning).

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52