Leveraging Chat Models and Manual Tracing with MLflow

Summary

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Acknowledgements

[x] ack/guide I have read through the contributing guide
[x] ack/readme I have configured my local development environment so that I can build a local instance of the MLflow website by following the development guide
[x] ack/legal I have verified that there are no legal considerations associated with the nature of the blog post, its content, or references to organizations, ideas, or individuals contained within my post. If I mention a particular organization, idea, or person, I will provide evidence of consent to post by any organization or individual that is mentioned prior to filing my PR.

Proposed Title

Leveraging Chat Models with Manual Tracing using MLflow.
Implementing Manual Tracing with Chat model using MLflow.

Abstract

This blog post explores the integration of the Mistral AI or Any other ChatModel with MLflow for manual tracing of machine learning experiments. It demonstrates conversational AI's use to interact with MLflow, manually log experiment details, and gain valuable insights through natural language queries.

Blog Type

[ ] blog/how-to: A how-to guide to using core MLflow functionality, focused on a common use case user journey
[ ] blog/deep-dive: An in-depth guide that covers a specific feature in MLflow
[x] blog/use-case: A comprehensive overview of a real-world project that leverages MLflow
[ ] blog/best-practices: A comprehensive tutorial that covers usage patterns of MLflow, focusing on an MLOps journey
[ ] blog/tips: A short blog covering tips and tricks for using MLflow APIs or the MLflow UI components
[x] blog/features: A feature-focused announcement that introduces a significant new feature that is recently or not-yet released
[ ] blog/meetup: A report on an MLflow community event or other Linux Foundation MLflow Ambassador Program event
[ ] blog/news: Summaries of significant mentions of MLflow or major initiatives for the MLflow project

Topics Covered in Blog

[x] topic/genai: Highlights MLflow's use in training, tuning, or deploying GenAI applications
[x] topic/tracking: Covering the use of Model Tracking APIs and integrated Model Flavors
[ ] topic/deployment: Featuring topics related to the deployment of MLflow models and the MLflow Model Registry
[ ] topic/training: Concerned with the development loop of training and tuning models using MLflow for tracking
[ ] topic/mlflow-service: Topics related to the deployment of the MLflow Tracking Service or the MLflow Deployments Server
[ ] topic/core: Topics covering core MLflow APIs and related features
[ ] topic/advanced: Featuring guides on Custom Model Development or usage of the plugin architecture of MLflow
[ ] topic/ui: Covering features of the MLflow UI
[ ] topic/other: < please fill in >

Thank you for your proposal! An MLflow Maintainer will reach out to you with next steps!

mlflow / mlflow-website