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# ![@MLflow Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1025537796931387392.png) @MLflow MLflow

MLflow posts on X about 6969, ai, databricks, and it the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXX engagements in the last XX hours.

### Engagements: XXX [#](/creator/twitter::1025537796931387392/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1025537796931387392/c:line/m:interactions.svg)

- X Week XXXXX +238%
- X Month XXXXXX +327%
- X Months XXXXXX +39%
- X Year XXXXXXX +49%

### Mentions: X [#](/creator/twitter::1025537796931387392/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1025537796931387392/c:line/m:posts_active.svg)

- X Week XX +27%
- X Month XX +86%
- X Months XX +66%
- X Year XXX +225%

### Followers: XXXXXX [#](/creator/twitter::1025537796931387392/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1025537796931387392/c:line/m:followers.svg)

- X Week XXXXXX +0.25%
- X Month XXXXXX +1%
- X Months XXXXXX +7.40%
- X Year XXXXXX +13%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::1025537796931387392/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1025537796931387392/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  [social networks](/list/social-networks) 

**Social topic influence**
[6969](/topic/6969) #925, [ai](/topic/ai), [databricks](/topic/databricks), [and it](/topic/and-it), [youtube](/topic/youtube), [llm](/topic/llm), [generative](/topic/generative), [ai and](/topic/ai-and), [open ai](/topic/open-ai), [ambassador](/topic/ambassador)

**Top accounts mentioned or mentioned by**
[@databricks](/creator/undefined) [@donvito](/creator/undefined) [@openai](/creator/undefined) [@dspyoss](/creator/undefined) [@langchainai](/creator/undefined) [@mosaicml](/creator/undefined) [@llamaindex](/creator/undefined) [@unitycatalogio](/creator/undefined) [@omdsb](/creator/undefined) [@cleanlabais](/creator/undefined) [@mlopsworld](/creator/undefined) [@opentelemetry](/creator/undefined) [@dataaisummit](/creator/undefined) [@facebookai](/creator/undefined) [@geeta4c](/creator/undefined) [@pytorch](/creator/undefined) [@lakefs](/creator/undefined) [@databricksand](/creator/undefined) [@pulumicorp](/creator/undefined) [@allenai](/creator/undefined)
### Top Social Posts
Top posts by engagements in the last XX hours

"MLflow 3.7.0 is here and it brings major features and improvements for GenAI Observability Evaluation and Prompt Management 🙌🥳 🔗 View the release notes:  ⚗  : Manage and search prompts (including version search in traces) directly within the experiment UI. 💬 - : Enhanced mlflow.genai.evaluate now supports assessing conversational AI applications with multi-turn inputs. ⚖ : New side-by-side view in the Traces UI to analyze and debug LLM behavior across runs. ♊  : Added auto-tracing support for Googles Gemini in TypeScript. 🎯  : The make_judge API now supports precise programmatically"  
[X Link](https://x.com/MLflow/status/1998050767362523628)  2025-12-08T15:23Z 10.8K followers, 5108 engagements


"Missed our latest #MLflow Community Meetup The full recording is available on the MLflow YouTube channel. 🎥 This session covers: 🔹  &   🔹   Watch the full session 👉 #opensource #oss #mlflow #genai #opentelemetry"  
[X Link](https://x.com/MLflow/status/1994798335287345486)  2025-11-29T15:59Z 10.8K followers, XXX engagements


"Is your GenAI agent production-ready or just passing "vibe checks" 🤔 Building is easy. Quality is hard. Samraj Moorjani (@Databricks) breaks down the full MLflow Quality stack: 🔍 Tracing (@opentelemetry) 🤖 AI-based Debugging (AI Insights) ⚖ LLM as a Judge Watch the deep dive: #AIEngineering #OpenTelemetry #MLflow #GenAI #Agents #LLM"  
[X Link](https://x.com/MLflow/status/1995882477827604840)  2025-12-02T15:47Z 10.8K followers, XXX engagements


"Developers are shifting gears from single models to full autonomous systems Ready to master the next era of AI 🚀 Join us on  as we deep-dive into two critical pillars powering this transition: 🔹 : Essential for evaluation monitoring and quality observability of your generative AI and agent applications. 🔹 : Providing the framework for decentralized coordination identity resolution and open-source agent infrastructure. RSVP 👉 #MLflow #GenAI #AIEvaluation #OpenSource #AIOps #Nanda"  
[X Link](https://x.com/MLflow/status/1995488595088429472)  2025-12-01T13:42Z 10.8K followers, 5602 engagements


"Have you heard of GEPA 🔥 GEPA has quickly become one of the most popular prompt optimization techniques in AIand through our collaboration with @DSPyOSS #MLflow now makes it easier than ever to apply GEPA to your agents. MLflow brings GEPA to where your traces and eval datasets already liveno code change needed. We tested it on @OpenAI Agents with the HotpotQA dataset and saw a XX% accuracy boost in just XX minutes 🚀 📖 Read the full guide: #opensource #oss #ai #GEPA #DSPy #PromptOptimization"  
[X Link](https://x.com/MLflow/status/1983163050489217447)  2025-10-28T13:24Z 10.8K followers, 12.7K engagements


"MLflows optimize_prompts() API automatically refines prompts using your evaluation metrics and training data boosting performance and consistency while reducing manual tuning. 🚀 This experimental feature streamlines prompt enhancement across agent frameworks with optimization algorithms you can measure. In this video MLflow Ambassador Shrinath Suresh shows how prompt optimization upgrades generative AI workflows end to end. 🎥 Dive in: #opensource #oss #mlflow #genai #generativeai"  
[X Link](https://x.com/MLflow/status/1988233693048303681)  2025-11-11T13:13Z 10.8K followers, XXX engagements


"Stop the AI Agent "vibe checks" & manual labeling 🛑🛠 Samraj Moorjani (@databricks) shows how #MLflow accelerates high-quality production-ready agent development. Learn the techniques leading companies use to skip the iteration loop. 🚀 📽 Watch the full session: #MLflow #AIAgents #AIDev #GenAI #OpenSource"  
[X Link](https://x.com/MLflow/status/1998423693316288852)  2025-12-09T16:05Z 10.8K followers, XXX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@MLflow Avatar @MLflow MLflow

MLflow posts on X about 6969, ai, databricks, and it the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXX engagements in the last XX hours.

Engagements: XXX #

Engagements Line Chart

  • X Week XXXXX +238%
  • X Month XXXXXX +327%
  • X Months XXXXXX +39%
  • X Year XXXXXXX +49%

Mentions: X #

Mentions Line Chart

  • X Week XX +27%
  • X Month XX +86%
  • X Months XX +66%
  • X Year XXX +225%

Followers: XXXXXX #

Followers Line Chart

  • X Week XXXXXX +0.25%
  • X Month XXXXXX +1%
  • X Months XXXXXX +7.40%
  • X Year XXXXXX +13%

CreatorRank: XXXXXXXXX #

CreatorRank Line Chart

Social Influence

Social category influence technology brands social networks

Social topic influence 6969 #925, ai, databricks, and it, youtube, llm, generative, ai and, open ai, ambassador

Top accounts mentioned or mentioned by @databricks @donvito @openai @dspyoss @langchainai @mosaicml @llamaindex @unitycatalogio @omdsb @cleanlabais @mlopsworld @opentelemetry @dataaisummit @facebookai @geeta4c @pytorch @lakefs @databricksand @pulumicorp @allenai

Top Social Posts

Top posts by engagements in the last XX hours

"MLflow 3.7.0 is here and it brings major features and improvements for GenAI Observability Evaluation and Prompt Management 🙌🥳 🔗 View the release notes: ⚗ : Manage and search prompts (including version search in traces) directly within the experiment UI. 💬 - : Enhanced mlflow.genai.evaluate now supports assessing conversational AI applications with multi-turn inputs. ⚖ : New side-by-side view in the Traces UI to analyze and debug LLM behavior across runs. ♊ : Added auto-tracing support for Googles Gemini in TypeScript. 🎯 : The make_judge API now supports precise programmatically"
X Link 2025-12-08T15:23Z 10.8K followers, 5108 engagements

"Missed our latest #MLflow Community Meetup The full recording is available on the MLflow YouTube channel. 🎥 This session covers: 🔹 & 🔹 Watch the full session 👉 #opensource #oss #mlflow #genai #opentelemetry"
X Link 2025-11-29T15:59Z 10.8K followers, XXX engagements

"Is your GenAI agent production-ready or just passing "vibe checks" 🤔 Building is easy. Quality is hard. Samraj Moorjani (@Databricks) breaks down the full MLflow Quality stack: 🔍 Tracing (@opentelemetry) 🤖 AI-based Debugging (AI Insights) ⚖ LLM as a Judge Watch the deep dive: #AIEngineering #OpenTelemetry #MLflow #GenAI #Agents #LLM"
X Link 2025-12-02T15:47Z 10.8K followers, XXX engagements

"Developers are shifting gears from single models to full autonomous systems Ready to master the next era of AI 🚀 Join us on as we deep-dive into two critical pillars powering this transition: 🔹 : Essential for evaluation monitoring and quality observability of your generative AI and agent applications. 🔹 : Providing the framework for decentralized coordination identity resolution and open-source agent infrastructure. RSVP 👉 #MLflow #GenAI #AIEvaluation #OpenSource #AIOps #Nanda"
X Link 2025-12-01T13:42Z 10.8K followers, 5602 engagements

"Have you heard of GEPA 🔥 GEPA has quickly become one of the most popular prompt optimization techniques in AIand through our collaboration with @DSPyOSS #MLflow now makes it easier than ever to apply GEPA to your agents. MLflow brings GEPA to where your traces and eval datasets already liveno code change needed. We tested it on @OpenAI Agents with the HotpotQA dataset and saw a XX% accuracy boost in just XX minutes 🚀 📖 Read the full guide: #opensource #oss #ai #GEPA #DSPy #PromptOptimization"
X Link 2025-10-28T13:24Z 10.8K followers, 12.7K engagements

"MLflows optimize_prompts() API automatically refines prompts using your evaluation metrics and training data boosting performance and consistency while reducing manual tuning. 🚀 This experimental feature streamlines prompt enhancement across agent frameworks with optimization algorithms you can measure. In this video MLflow Ambassador Shrinath Suresh shows how prompt optimization upgrades generative AI workflows end to end. 🎥 Dive in: #opensource #oss #mlflow #genai #generativeai"
X Link 2025-11-11T13:13Z 10.8K followers, XXX engagements

"Stop the AI Agent "vibe checks" & manual labeling 🛑🛠 Samraj Moorjani (@databricks) shows how #MLflow accelerates high-quality production-ready agent development. Learn the techniques leading companies use to skip the iteration loop. 🚀 📽 Watch the full session: #MLflow #AIAgents #AIDev #GenAI #OpenSource"
X Link 2025-12-09T16:05Z 10.8K followers, XXX engagements

@MLflow
/creator/twitter::MLflow