The Stack’s Post

To take AI systems to production and commercialization, a substantial amount of training data is required. A deep understanding of MLOps and ML DataOps is crucial to ensure the success of any ML product. iMerit offers remarkable solutions that enable clients to overcome data challenges and enhance their workflow scalability with higher efficiency. Hear from our experts: https://lnkd.in/dVgPdNuP #MLOps #machinelearning #AI #DataOps

One of my favorite questions to ask people: how have you adapted your #testing strategy since introducing #GenAI into your tech stack? Years ago in the last wave of #AIML, testing and quality was already such a fascinating challenge. From synthetic (but realistic) data to test the boundaries of the model, to alerting around anomalies to simple distribution shift: we’ve been thinking about testing in a non-deterministic world for some time. https://lnkd.in/gh-RuVkk But now that we have so many brilliant minds working on and with AI, there are so many more ideas! What have you learned?

Optimize LLMs with RAG in Databricks with multiple options

Generative AI will enable an era of smarter and more sustainable manufacturing, powered by intelligence, where anyone can effortlessly analyze diverse datasets at scale in seconds. Your generative AI models will only be as good as the data on which they’re trained. That’s why off-the-shelf solutions have little lasting value. Find out how Databricks can help build and train generative AI solutions that use your own data to accelerate innovation, reduce costs and differentiate your organization from the competition.

As mountains of #data grow every day, it's crucial to turn them into valuable insights. Take advantage of these powerful tools with expert guidance and support to achieve your business objectives. Click here https://lnkd.in/dJEQwY8p #ai #ml #bigdataanalytics #predictiveanalytics #nlp #digitaltransformation

I'm curious about what the impact of AI in Data Science. How it uses to predict things and analyses huge data that is increasing exponentially these days. How it uses in Decision Making also. #aice #aiced2024 #alx_ai

🚀 Excited to share my latest article on Medium: "LLM for Data Engineering: Transforming Data Workflows with Advanced AI"! In this article, I dive into: What are Large Language Models (LLMs)? The comprehensive process of building, pre-training, and fine-tuning an LLM How LLMs can revolutionize data engineering workflows by enhancing data integration, automating documentation, optimizing queries, and improving data analysis and reporting Check out the full article to explore how LLMs can bring significant improvements in efficiency, accuracy, and productivity in the field of data engineering. #DataEngineering #AI #MachineLearning #DeepLearning #LLM #ArtificialIntelligence #DataScience #TechInnovation 🔗 Read the full article Here:

By using Databricks to build and train #GenAI solutions with your data, you can accelerate innovation while reducing costs 🙌 Learn how to use RAG, fine-tune models, and more in this on-demand webinar👇 https://bit.ly/3RIIwJt

Whether it’s RAG, fine-tuning, or training models from the ground up, Databricks has you covered as you scale #GenAI capabilities. Learn how the Data Intelligence Platform helps data-forward businesses leverage generative AI with the added edge of proprietary data ⬇️

"Your AI Means Nothing Without the Data." And Data is everywhere. However, 'Everyone in data engineering is fighting a hard battle you know nothing about.' This event helps us to enhance our skills and know how we can use the data accordingly to our use case(s). Thanks to MLOps Community for providing this opportunity.