Accelerate your AI Projects with a Data-Centric Approach to Machine Learning
Simplify all aspects of data for AI and Machine Learning with Triseed and Databricks partner collaboration.
MANAGE MLFLOW
Supervised MLflow enhances the features of MLflow, a Databricks-developed open-source platform for overseeing the machine learning lifecycle. The emphasis is on bolstering enterprise reliability, security, and scalability. The most recent MLflow update introduces cutting-edge LLMOps functionalities that elevate its capacity to manage and deploy extensive language models (LLMs). This expanded support for LLMs is made possible through new collaborations with well-established LLM tools like Hugging Face Transformers and OpenAI functions, alongside integration with the MLflow AI Gateway. Furthermore, the integration of MLflow with LangChain and the Prompt Engineering UI streamlines model development, facilitating the creation of generative AI applications for various purposes such as chatbots, document summarization, text classification, sentiment analysis, and more.
BENEFITS
Model Development
Experiment Tracking
Model
Management
Model
Deployment
FEATURES
01
MLFlow Tracking
02
MLFlow Models
03
MLFlow Model Registry
04
MLFlow AI Gateway
05
MLFlow Recipes
06
MLFlow Projects