Ben Lorica 罗瑞卡

Heading to Databricks's #DataAISummit? Connect with fellow attendees interested in improving LLM evaluations and feedback techniques by grabbing the last available spot for Arjun Bansal's braindate at the event ⬇️ https://lnkd.in/gAT6PTYt If you didn't get a spot in the group, you can still learn about Log10's approach in Arjun's conference session, AutoFeedback: Scaling Human Feedback with Custom Evaluation Models, or at Log10.io #LLMOps #LLMs

9

The latest edition of the Runtime Roundtable is live! This month we focused on data: As Snowflake and Databricks customers gathered in San Francisco to plot data strategies over the last two weeks, the enthusiasm for investing in new data tools is obvious. But it's easy to get carried away, and this month's panel has some great advice on how to avoid missteps when upgrading your data infrastructure. With thoughts from: Astasia Myers of Felicis Ricardo Madan of TEKsystems Dennis Perpetua of Kyndryl Sharon Mandell of Juniper Networks Tiago Azevedo of OutSystems Alex Balazs of Intuit Bill Waid of FICO Marc Kermisch of CNH

22

AtScale + Snowflake + Delphi Labs - Unlock the Potential of Self-Service Analytics – https://bit.ly/3UOjIBu The Future of Self-Service Analytics with Snowflake, Semantic Layers & LLMs - How to Deliver Self-Service Analytics on Snowflake Using a Semantic Layer and LLMs Join AtScale’s webinar on May 22nd to unlock next-level data analytics with Snowflake, AtScale, and Delphi Labs. Learn from industry experts how to integrate Snowflake's powerful platform with AtScale's Semantic Layer and leverage LLM’s for transformative insights. Register today! Wednesday, May 22, 2024 2:00 PM ET (11:00 AM PT) | 60 mins Featured Speakers • Dave Mariani, Founder & CTO, AtScale • Alex Ross, Senior Solutions Engineer, Snowflake • David Jayatillake, CEO, Delphi Labs • Michael Irvine, Co-Founder, Delphi Labs You’re invited! - https://bit.ly/3UOjIBu Learn how to integrate Snowflake's data platform with AtScale’s Semantic Layer and Large Language Models (LLMs) to enhance self-service analytics capabilities. You'll walk away with actionable insights to harness the full potential of this innovative approach. Don't miss this opportunity to enhance your data strategy and stay ahead in today's dynamic data landscape. In this webinar, we’ll cover: • The Foundation of Data Management: Learn from Alex Ross, Senior Solutions Engineer at Snowflake, about the fundamentals of an efficient data platform. • Introduction to Semantic Layers: Discover how a semantic layer can simplify data accessibility and enhance business insights with Dave Mariani, CTO at AtScale. • Power of LLMs in Analytics: Delphi Labs will present a live demonstration of how LLMs integrated with a semantic layer can revolutionize data interaction. Who should watch This webinar is designed for those eager to streamline their analytics processes and make data-driven decisions faster and more efficiently.

2

"The new Columnar capabilities enable rapid real-time intelligence for data analysis and quick insights, along with further opportunities for traditional ML and AI" ⚡ Check out this write up on Capella columnar from private preview user Will Thayer, MBA Technologist 📝 https://bit.ly/3JGo8UR

24

1 Comment

Checkout my recent Forbes article on counting the cost of an AI deployment.

22

1 Comment

The latest from Belle L.: Databricks is acquiring Tabular, a data-management startup that helps companies use a variety of open-source data formats, as the company looks to win artificial intelligence customers by making it easier for them to use their own data with AI. Databricks declined to specify how much it paid for Tabular, but said the price was between $1 billion and $2 billion. The deal comes as Databricks and other cloud data companies like Snowflake are on spending sprees for the same AI clients—enterprises looking to spend big on using AI for business processes and building their own AI capabilities. Both Databricks and Snowflake provide a platform for storing, organizing and analyzing data across multiple cloud providers. “What we want to do is create custom AI on all of your data. That’s what we call data intelligence,” Ali Ghodsi, chief executive and co-founder of Databricks, said in an interview. “For that, we need all the data. The more data the better.”

15

2 Comments

Faster, more accurate, less data needed = BaseModel.AI

5

Join PyTorch at Snowflake's #DataCloudDevDay on June 6 in San Francisco to learn how to accelerate GenAI performance with Native PyTorch. Register: https://hubs.la/Q02xQStt0

18

🔍 Just stumbled upon an interesting article! Snowflake Cortex LLM functions are now generally available, offering powerful machine learning capabilities within Snowflake. Dive in: https://lnkd.in/gehtvatQ #Snowflake #MachineLearning #TechNews

3

Getting the Most Value from LLMs Using a Knowledge Architecture, Ontologies, and Knowledge Graphs: Practices and Approaches Highlights ⤵️ This workshop focused on using Large Language Models to boost productivity and enterprise efficiency. A case study from a pharmaceutical company shows how structured information architecture and metadata-enriched prompts increased model accuracy from 53% to 83%. For more insight read Seth's article, https://hubs.ly/Q02wRfVG0. #BioITWorld #LLM #KnowledgeArchitecture #IA @SethEarley @Bio-ITWorld

4

An underrated component of RAG evals is retrieval evals - is potentially more important than LLM evals! Some requirements for performing retrieval evals is 1) identifying the right retrieval metrics, and 2) having a unified dataset representation. This article by Ross Ashman takes you through tour of retrieval/ranking metrics (e.g. precision@K, NDCG, and more), and also shows you how to convert a dataset into the BEIR format in order to run these evals. Once retrieval evals is setup, run it over your LlamaIndex retrievers. https://lnkd.in/gfha8kiX

173

3 Comments

Explore a method that leverages OpenAI’s Large Language Models (LLMs) and Gemini to automatically generate #KnowledgeGraphs from textual and visual data. Thank you, Shubham Shardul, for this blog! https://bit.ly/4bGL01U #LLMS #graphdatabase #GenAI OpenAI

30

1 Comment

Today's Tip - Enabling Critical Decision-Making with Valuable Data Insights from Melissa Marketplace >>> https://lnkd.in/eTqa6cd4 Learn about the Melissa Marketplace, a rich data catalog comprised of exceptionally accurate data products for industry and business needs. Author: Hristo Hristov, MSc, MCSE #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #datacatalog #accuracy #decisionmaking #datacleansing #businessintelligence

1

Today's Tip - Enabling Critical Decision-Making with Valuable Data Insights from Melissa Marketplace >>> https://lnkd.in/eTqa6cd4 Learn about the Melissa Marketplace, a rich data catalog comprised of exceptionally accurate data products for industry and business needs. Author: Hristo Hristov, MSc, MCSE #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #datacatalog #accuracy #decisionmaking #datacleansing #businessintelligence

1