Denny Lee’s Post

Happy to complete Databricks GenAI Fundamentals course. This program is meticulously designed to provide a robust foundation in GenAI, offering insights into: -->The Essence of GenAI: Uncover what GenAI is and the revolutionary principles it stands on. -->Real-World Applications: Explore a variety of business use cases where GenAI is making a significant impact. -->Choosing the Right LLM: Learn the critical factors to consider when selecting a Large Language Model (LLM) for your needs. -->Navigating the Landscape: Understand the nuances between open-source and proprietary models in the GenAI space. -->Mitigating Risks: Address the risks and challenges associated with implementing GenAI solutions. The course emphasizes that the data used for training models is paramount, as it bestows a distinct competitive edge. #GenAI #ArtificialIntelligence #Databricks #ContinuousLearning #ProfessionalDevelopment

RAG is the hot topic to bring enterprise context to #genAI. And something you can implement in about 13 (or so) minutes with no-code on Prophecy and Databricks https://lnkd.in/gD_49_AN

We are overwhelmed with gratitude for the fantastic turnout and active participation at our recent "Lunch & Learn" event. The topic, "How to Achieve ROI from ML Models," brought together a diverse group of professionals who are passionate about leveraging machine learning to drive real business value. Your presence added immense value to the event, and we hope you found it as enlightening and enjoyable as we did. It's through such engaged and insightful discussions that we collectively advance our knowledge and expertise in the field of machine learning. We would like to extend a special thanks to our generous sponsors, whose support played a pivotal role in making this event possible and contributing to the success of ML endeavors in Montreal: 🌐 Wallaroo.ai - Your commitment to pushing the boundaries of ML technology is truly appreciated. 🌐 Databricks - Thank you for your continued dedication to empowering data-driven innovation. As we move forward, let's stay connected, share our learnings, and continue to collaborate in our pursuit of excellence in the world of machine learning. Together, we can achieve remarkable results! #MachineLearning #ROI #DataScience #Networking #ThankYou #MLModels #MontrealTech #DataInnovation #LunchAndLearn

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.

In the #StateofDataAI, Databricks analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings:  - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in this new report.