The open source developer platform to build AI applications and models with confidence.
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Joined August 2018
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MLflow retweeted
📣 Hey Paris: Join us on Sept 23 for the next Open Lakehouse + AI meetup!
Aravind Segu and Edwin He will cover why to use a meta-harness: collaborate on your work, exercise control, and choose your coding agent harnesses. The talk includes a demo of Omnigent’s workflow, including @opentelemetry traces in tools like @MLflow.
🗓️ Wed, Sept 23 | 6:00–9:30 PM GMT+2
📍 La Fondation, Paris
🎟️ Register: usergroups.databricks.com/ev…
#Paris #Omnigent #OpenSource
MLflow retweeted
3 weeks out: Open Lakehouse + AI Meetup is coming to Paris! 🇫🇷
Agenda:
🔹 @unitycatalog_io (You Can Go Your Own Way....Go Your Own Way)
🔹 @omnigent_ai — A Meta Harness for AI Agents
🔹 AI Agents at Every Scale: Personal, Team, and Data Workflows
Then networking, light bites & swag.
📅 Wed, Sept 23 | 6:00–9:30 PM CEST
📍 La Fondation | Paris, FR
🎟️Register: usergroups.databricks.com/ev…
#OpenLakehouse #AI
MLflow retweeted
📣 Join us for the next Open Lakehouse + AI Meetup!
On the agenda:
🔹 Modern Analytics at GPU Speed: Accelerating Spark, Delta Lake, Iceberg, and Spark Connect
🔹 A Unified Future for Delta Lake and Apache Iceberg
🔹 Panel: Connecting the Open Lakehouse and AI Ecosystem
🔹 Networking with light bites
🗓️ Wed, October 7
📍 Bellevue | @databricks office
🎟️ Register: luma.com/open-qljr
#OpenLakehouse #DeltaLake #ApacheIceberg #ApacheSpark
MLflow retweeted
Omnigent focuses on three problems above the level of a single harness: composition, collaboration and control. databricks.com/blog/introduc…
For composition, it lets you create multi-agent teams with different harnesses or swap harness and model mid-session and mid-loop.
MLflow retweeted
Really excited to open source a new project: Omnigent, a meta-harness for AI agents.
It lets you build multi-agent coding and custom agents, sitting above Claude Code, Codex, Pi, and agent SDKs to let you compose them. It also adds live collaboration and rich control policies.
MLflow retweeted
New on the MLflow channel: evaluate a RAG agent end-to-end with Joana Mesquita, MLflow Ambassador 👇
📌 Prompt Registry + production aliases
🔍 Traces with SME ground truth
⚖️ Ragas, Phoenix + custom LLM judge
Watch now: youtu.be/4wqkHroNGFQ
Blog: medium.com/@joana.c.mesquita…
#MLflow #RAG
MLflow retweeted
What if your coding agent could fix itself? A new package teaches agents like #ClaudeCode, #Codex, and #GeminiCLI to trace, analyze, score, and improve LLM outputs using @MLflow evaluation infrastructure — with no manual evaluation code required. mlflow.org/blog/self-improvi…
MLflow retweeted
Trying to manage a budget when your team is jumping between OpenAI, Anthropic, and other providers is a massive headache. Since every provider has its own billing silo, you’re usually flying blind on total costs. 💰
With MLflow 3.11, we’ve added budget controls directly into the AI Gateway. You can now set clear spending limits and track exactly what’s being used across your entire organization from one spot. ✅
🎥 Watch the full webinar to see how you can get your AI costs under control: youtube.com/live/8zBu8F6_fgU…
#MLflow #AIGateway #CloudCosts #FinOps #LLM
MLflow retweeted
@MLflow gives you full observability into your agents — auto-tracing, evaluations, latency & token metrics. We're sharing aspects of MLflow Observability and goverance into practice at these events.
Free meetup, limited spots 👇
luma.com/AgenticAIObservabil…
MLflow retweeted
I was able to make @MLflow work with @DSPyOSS for tracing
It's so simple!
Run an mlflow server
mlflow server --host 127.0.0.1 --port 8080 (add persistence if you need)
Then enable it in DSPy
mlflow.dspy.autolog()
If you're curious about the IDE I am using, it's @jetbrains Data Spell which allows running jupyter notebooks. Should work with PyCharm too
Link to guide in comments 👇
MLflow retweeted
Are your AI responses off-topic?
MLflow answer relevance gives instant 1-5 scores showing which responses miss the user's actual question. No more manual review.
📕 View the full article: buff.ly/mT4mlmZ
ALT Python code using MLflow to evaluate GPT-4 predictions on relevance, with a table showing scores of 5/5 and 4/5 for password and pricing questions.
MLflow retweeted
Machine learning and AI workflows are full of experimentation—multiple training runs, fine-tuning, and constant iteration. But as models multiply, so does the need for robust governance.
🔒 With tools like @MLflow and Unity Catalog, you can:
🔹 Track and manage every model version
🔹 Control who can access and deploy production models
🔹 Ensure only the right users see the right models
This unified approach means better collaboration, easier auditing, and peace of mind as your ML initiatives scale.
Curious how to set it up? Dive into the workflow and see how these tools work together for end-to-end model governance. 🔗➡️ unitycatalog.io/blogs/machin…
#opensource #mlflow #oss #unitycatalog #linuxfoundation #AI
MLflow retweeted
#DennysPick 🌟 If you’re building GenAI applications with DSPy and want full observability, seamless debugging, and true MLOps best practices, this session is a must-see at @Data_AI_Summit!
I’m excited to recommend “Streamlining DSPy Development: Track, Debug, and Deploy With @MLflow" with Chen Qian.
Here’s why this talk is on my list:
✅ Effortlessly track @DSPyOSS module calls, evaluations, and optimizers
🔍 Leverage MLflow’s tracing and autologging for seamless debugging and monitoring
🚀 Deploy your DSPy programs end-to-end with confidence
See how integrating MLflow with DSPy makes it easier than ever to iterate, understand, and productize your #GenAI workflows!
Check out the full list of my picks 👉 databricks.com/blog/dennys-t…
📍 San Francisco
📅 June 9-12
🔗 REGISTER HERE: databricks.com/dataaisummit
🎟️ Interested in a 50% discount for your ticket? Comment “#DennysPick” below and I’ll send you a code!
#opensource #mlflow #DSPy #mlops
MLflow retweeted
MinIO's @keithpij is back with more @MLflow content! This article covers how to register and version a #loggedmodel. As a bonus, Keith also shows how to load a registered model from MLflow Model Registry into memory. blog.min.io/mlflow-model-reg…
MLflow retweeted
In @keithpij's article, he dives into #AIStor,
@MLflow & KServe, showing how to deploy ML models from local testing to Kubernetes at scale. blog.min.io/deploying-models…
MLflow retweeted
Tired of flying blind when developing LLM apps? Frustrated by mysterious agent behaviors? Can’t figure out why your agent fails in production?
You’re not alone. Register for the webinar on our website to learn how Managed @MLflow is a game-changer: nebius.com/events/webinar-ma… 1/4
MLflow retweeted
🔥 What Can You Do with GenAI Using MLflow? – A Talk with Michael Berk at #ODSCEast!
This talk will give you actionable insights to build scalable, reliable GenAI systems using MLflow.
🔗 Register now: hubs.li/Q03g9R_60
MLflow retweeted
🔍 Read our guide to take your #ML models from experiments to production with @MLflow & #BentoML 👉 bentoml.com/blog/building-ml…
✅ Log & track models with #MLflow
✅ Serve with BentoML
✅ Enforce input validation & adaptive batching
✅ Standardize ML workflows for large teams
Turn your ML models into production-ready APIs today 🚀
#AI #OpenSource #MachineLearning #MLOps
MLflow retweeted
🔥 Observability is coming soon to txtai! This recent open source collaboration will bring MLflow autologging to txtai. Stay tuned for more and follow along at the link to the PR below.
MLflow PR for txtai: github.com/mlflow/mlflow/pul…
