Magic Bullet’s Post

👩🏽🔬 👨🏽🔬 Think Gen AI isn’t for data scientists? Think again. In the dynamic world of data science, staying ahead is not just an advantage – it's a necessity.  📖 Dive into the transformative power of Gen AI copilots by reading the latest blog: https://bit.ly/3Sb5ysX #DataScience #GenerativeAI #InnovationUnleashed

"Did you know that in the past two years, 90% of the world's data has been created? As we dive into the world of data science and machine learning, let's remember the incredible potential we have to make a positive impact. As Arthur C. Clarke said, 'Any sufficiently advanced technology is indistinguishable from magic.' Let's harness the magic of AI to create a better future. #DataScience #MachineLearning #ArtificialIntelligence #TechInnovation #FutureOfTechnology"

The battle is ON ! 🤺 Google just released #DataGemma or RIG (Retrieval-Interleaved Generation). It acts as a fact-checker. OpenAI Strawberry Killer? 🤔 DataGemma: Using real-world data to address AI hallucinations. #Google introduces #DataGemma to improve #AI accuracy with Trusted Data Sources

✨ Introducing DataGemma, open models that enhance LLM factuality by grounding them with real-world data from Google’s Data Commons. → https://goo.gle/4dWFyKn Learn how DataGemma uses two distinct RIG and RAG approaches to: 📖 Harness the knowledge of Data Commons 🧠 Fact check numeric data against trusted sources 🛠️ Lead the way in developing responsible AI And more for the #Gemmaverse!

This is a great application of the Gemma models! read the post and follow the colab to learn more how to ground your queries on real data with two methods: RAG (that you may already know) and RIG!!! #gemmaverse

Sounds #incredible - I mean why have LLM #hallucination when you can just... RIG & RAG ;-) 1. RIG (Retrieval-Interleaved Generation) proactively querying trusted sources and fact-checking against information in #Google #DataCommons 2. RAG (Retrieval-Augmented Generation) incorporate relevant information beyond their training data, absorb more context, and enable more comprehensive and informative outputs. 

DataGemma is designed to help address the challenges of hallucination by grounding LLMs in the vast, real-world statistical data of Google's Data Commons. One of the major hurdles in generative AI today is how 𝐋𝐋𝐌𝐬 sometimes present incorrect information. Google has launched 𝐃𝐚𝐭𝐚𝐆𝐞𝐦𝐦𝐚, the first open models connected to the vast 𝐃𝐚𝐭𝐚 𝐂𝐨𝐦𝐦𝐨𝐧s repository, offering over 𝟐𝟒𝟎 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 reliable data points from sources like the UN, WHO, and CDC. With 𝐃𝐚𝐭𝐚𝐆𝐞𝐦𝐦𝐚, AI models are now grounded in real-world data, leveraging two key approaches: 1. 𝐑𝐈𝐆 (𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐈𝐧𝐭𝐞𝐫𝐥𝐞𝐚𝐯𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧): Queries trusted sources and retrieves data from Data Commons for more accurate outputs. 2. 𝐑𝐀𝐆 (𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧): Extends context, allowing models to generate more informed, factual responses.

In this short interview with James Maguire, our COO and Cofounder Krishna Subramanian talks about the intersection between unstructured data management and #GenAI re: finding, enriching and moving data to AI platforms along with #governance of data and automating data workflows. https://lnkd.in/gN3jxxhH

Looking forward to this Technology Association of Oregon AI session June 18th hosted by The Standard. Lightning Talks will be five minutes in length ⏰, and will be focused on technical topics such as: ✅Data Science ✅Machine Learning ✅Artificial Intelligence Reach out if you are planning to go🙌 https://lnkd.in/g2Wtf3G9 #ai #tech #tao #portland #consulting #timeseries #datascience

Excited to share some mind-blowing facts about Data Science and AI that inspire our journey in this field! Did you know that in 2019, over 2.5 quintillion bytes of data were generated each day? This exponential growth fuels our passion for harnessing valuable insights. As we embrace the power of Machine Learning, let's remember that "The best way to predict the future is to create it." #DataScience #MachineLearning #ArtificialIntelligence #Innovation #TechTrends #FutureOfWork