AI Trends and Lessons in 2024 ??
A Year of Insights with the MLOps & LLMOps Dictionary
The big dictionary of MLOps and LLMOps has been a key feature in our content catalogue for well over a year, with the goal of being the most comprehensive terminology guide for building and managing ML solutions with MLOps and LLMOps. In our latest blog post we look at the trends and insights for 2024 that we can learn from the dictionary, based on it's most popular entries.
Get It on Paper ??
The insights and trends in the blog post are based on the 25 most-read dictionary entries over the past year. Each entry is a reflection of the direction in which the industry is heading. We've complied these entries in a file-format version, download the dictionary to discover your own insights.?
Mark Your Calendar ??
We have two talks coming up at the Feature Store Summit on October 15th, make sure to check your calendar and note down these talks from our engineering staff.
From Feature Store to AI Lakehouse?
Ray introduces the AI Lakehouse - an extension to the Lakehouse with MLOps capabilities, real-time data support, LLMs and more.
The Snowflake Schema Data Model comes to Feature Stores
Javier demonstrates how Hopsworks now supports the Snowflake Schema Data Model, enabling more features via foreign keys in online tables.
Investment Banking and Accounting| EX. State Street | Data Visualization, Data Modeling, Snowflake, Data lake, Data warehousing Databricks, Azure & ESG ??| CFA Aspirant| MSc ISBP Student at UCC
4 个月Excellent effort