My second report from #SREcon: Some of the same lessons -- and unsolved problems -- from supporting #machinelearning apps in production carry over to #generativeAI apps, but not all. Attendees discussed the similarities and important differences. #reliabilityengineering #ML #GenAI #LLM #AI #MLOps #LLMOps https://www.techtarget.com/searchitoperations/news/366621071/Site-Reliability-Engineers-weigh-MLOps-vs-LLMOps

First dispatch from #SREcon, covering some interesting discussions about how supporting #LLM-based apps in production differs from traditional apps. Features a presentation by Brendan Burns about lessons learned from rolling out #Azure #Copilot.
#LLMOps #AI #genAI #generativeAI #microsoftcopilot #microsoft https://www.techtarget.com/searchitoperations/news/366621317/SREs-map-uncharted-territory-with-LLMOps

【LLMOps】あなたの生成AIアプリを監視＆評価しよう！ Langfuse入門ハンズオン
https://qiita.com/minorun365/items/9d0d11f0ecb4c29924d5?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

Curious about how #DevOps principles can supercharge #GenAI? Join Teofilo Narboneta Zosa and Jehandad Kamal from #Mercari as they dive into "LLMOps for Eval-Driven Development at Scale"!

Learn how prompt management, evaluation, and observability are transforming AI software—delivering unmatched value to millions.

Let’s spark a discussion and share insights! #LLMOps #DevOps #AI
https://eventyay.com/e/4c0e0c27/session/9620

Hiring: MLOps/LLMOps Engineer

Location: Hyderabad, Bangalore, Chennai, Mumbai, Noida, Pune
Required Skills: 6+ years in MLOps/LLMOps.
Strong Python, ML frameworks, FastAPI, GraphQL.
Experience with MLflow, Airflow, Kubernetes.

Submit your CV: resumes@overturerede.zohorecruitmail.in

Contact: +917428694900

Apply Now & Join the Future of AI!
https://zurl.co/IeK73

Transform your LLM into a high-performing AI with #LMDeploy!
TurboMind: Speed with C++ & CUDA
PyTorch: Flexible, developer-friendly
REST APIs + CLI: Effortless integration

explore it all:
https://medium.com/@omkamal/unleash-the-power-of-llms-your-hands-on-guide-to-lmdeploy-6f1850fd9826?sk=056cbbcd176663b912255f5712a16cd4
#AI #LLM #LLMOps

Bridging the Gap: How AI Engineers Can Transform Their Work with Qualitative Research Methods

In a world where AI and qualitative research seem worlds apart, a new perspective emerges that could revolutionize LLMOps. By integrating inductive coding and grounded theory into their workflow, AI e...

https://news.lavx.hu/article/bridging-the-gap-how-ai-engineers-can-transform-their-work-with-qualitative-research-methods

Bridging the Gap: How AI Engineers Can Transform Their Work with Qualitative Research Methods

In a world where AI and qualitative research seem worlds apart, a new perspective emerges that could revolutionize LLMOps. By integrating inductive coding and grounded theory into their workflow, AI e...

https://news.lavx.hu/article/bridging-the-gap-how-ai-engineers-can-transform-their-work-with-qualitative-research-methods

LLMOpsツールから考えるAIエージェントの評価
https://qiita.com/licux/items/a7ae9be7431872ee4164?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#RedHat captures a top contributor to key #OpenShift #AI tech with the planned Neural Magic acquisition, as #LLMOps is poised to go mainstream among #platformengineers. #KubeCon2024 #OpenShiftCommons #CNCF https://www.techtarget.com/searchitoperations/news/366615732/OpenShift-AI-boosts-LLMOps-chops-with-Neural-Magic-deal

Simon Seagrave kicks off the #OpenShiftCommons keynote. All about #AI and #LLMOps, including this morning's Red Hat acquisition of Neural Magic.

生成AIアプリの出力をRagasで評価して、LangfuseでGUI監視しよう！
https://qiita.com/minorun365/items/70ad2f5a0afaac6e5cb9?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

Chip Huyen recently held an ACM talk on Building A Generative AI Platform and here's the write-up #GenAI #LLMOps #MLOps https://huyenchip.com/2024/07/25/genai-platform.html

Esploriamo con Alessandra Bilardi quando servono metodologie di #MLOps e quando sono necessarie quelle di #LLMOps.

Alessandra Bilardi è Data & Automation Specialist @ Corley Cloud.

Spoke on #llmops at this local #devops meetup this week https://youtu.be/5m3VaBP5UQc?si=C_cB3SC25OfoCPzL

#ITByte: #LLMOps, or Large Language Model Operations, is a set of practices and tools that speed up the development, deployment, and management of AI models.

It's a subset of Machine Learning Operations (#MLOps) tools that focuses on large language models (LLMs) and their unique challenges.

https://knowledgezone.co.in/trends/explorer?topic=LLMOps

Ya está abierto el registro para nuestra reunión de abril: LLMOps & ML para Drilling Performance y Python & Mazmorras, este mes en las oficinas de Repsol

https://www.meetup.com/pydata-madrid/events/300310880/

¡Nos vemos el jueves 18 a las 19:00! Y después, networking

Just published: Platform engineers and #DevOps teams at companies such as #LinkedIn and #creditkarma blaze a trail into #genAI driven automation and #LLMOps. https://www.techtarget.com/searchitoperations/feature/GenAI-risks-rewards-arise-for-DevOps-and-platform-engineers

Since you're all planning to use the terminology #LLMOps from now on, just thought to let you know that it does sound a lot like Rollmops.

https://en.wikipedia.org/wiki/Rollmops
#RoLLMOps