Dive into how custom LLMs are reshaping search, reducing latency, and bringing precision to new heights—with Vincent Granville and our Richard Cotton! 🎙️
Discover why building your own LLM might be the game-changer your organization needs.
Key Insights:
🔍 RAG LLMs and the end of PageRank
🔍 When to build vs. buy custom LLMs
🔍 Enhancing business value with specialized LLMs
Listen here: https://ow.ly/QmFh50SBAN6#DataCamp#LLM
For everyone who is getting excited about generative AI, there's always someone else who moans that the existing models don't quite do what they want. If you're in the latter camp, it turns out that it's not that difficult to create your own custom LLM! Even if you don't have a rack of 10000 top end GPUs handy, it's possible to build something useful.
In this episode of DataFramed, I chatted to Vincent Granville (the legend behind Data Science Central) to find out when I'd want to make my own custom LLM, and how to go about doing it.
Dive into how custom LLMs are reshaping search, reducing latency, and bringing precision to new heights—with Vincent Granville and our Richard Cotton! 🎙️
Discover why building your own LLM might be the game-changer your organization needs.
Key Insights:
🔍 RAG LLMs and the end of PageRank
🔍 When to build vs. buy custom LLMs
🔍 Enhancing business value with specialized LLMs
Listen here: https://ow.ly/QmFh50SBAN6#DataCamp#LLM
Is your data growing really fast? We'd love to help! Cloudian offers limitlessly scalable object storage to meet all your enterprise needs for a fraction of the cost of traditional storage. Your CFO will thank you! Your data creators will love you.
Read more: https://bit.ly/4ey0WW7#ObjectStorage#DataStorage#EnterpriseIT#StorageSavings
💡 Did you know? BigQuery’s native partitioning is limited to a single column, but you can achieve efficient multi-column partitioning using wildcard tables!
📖 In our blog post, we show how Starlake simplifies this process, enabling you to load and transform your data seamlessly.
✨ What’s the benefit?
This approach reduces storage size and significantly speeds up queries, even with massive datasets.
👉 Read the full article to learn more: https://lnkd.in/egjFf9U3#BigQuery#DataEngineering#DataAnalytics#Starlake
Got it! Here's a tweet based on the news you provided:
Need a #BigQuery boost? @DataBackfill has got you covered! Backfill your #GA4 data seamlessly. Check it out and boost your analytics game! 🧐🚀 https://lnkd.in/dW3yg3qR#DataAnalytics#Tech
Let me know if you want me to make any changes or modifications to the tweet.
Think you can manually tokenize data in #Snowflake? Think again.
Snowflake lacks native #tokenization, leaving you in the coding trenches.
But fear not!
ALTR's automated solution takes the hassle out of the equation, offering seamless tokenization without the coding headaches.
Learn how to simplify your #datasecurity with ALTR 👉 https://lnkd.in/gt3m9X6c#datagovernance
Introducing Read Scaling
Today we’re launching a preview of Read Scaling, which allows highly concurrent read-heavy workloads to automatically scale out to multiple DuckDB instances, so you can run at peak performance no matter how many users you have. This allows you to use the MotherDuck data warehouse to serve that popular dashboard, build that data application that serves your large corporate customers, and helps you show visualizations at video-game style refresh rates. With Read Scaling, you don’t have to worry about whether MotherDuck can handle the number of users you throw at it.
https://lnkd.in/gzz62P4d#ReadScaling#DuckDB#DataWarehouse#CloudComputing#Scalability#DatabasePerformance#DataEngineering#CloudInfrastructure#BigDataAnalytics
Unlock the power of Data Vault with Snowflake, dbt, and Microsoft in our latest free resource!
Our latest download provides a foundational reference architecture to help you get started with Data Vault, leveraging the powerful combination of Snowflake, dbt, and Microsoft.
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Well said!