From the #DatabricksCommunity: version control best practices for using Git in data science projects Discover tips on branching strategies, project structuring, and choosing between mono- and multi-repository structures: https://
dbricks.co/3BlUe7e
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Git Version Control Best Practices for Data Science Projects
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MongoDB Atlas Playwright Structured Outputs for Data
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Wondering how to pick the best possible Utah "dirty" soda? Not to worry. @anaiyaraisin, @MongoDB
, and @OpenAI have got you covered. (Hey @CloudNativeFdn
, your KubeCon folks may want to try this.) https://
mongodb.com/developer/prod
ucts/atlas/playwright-structured-outputs-atlas-search/
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ebook2audiobook: Convert eBooks to Audiobooks with Chapters
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ebook2audiobook Convert eBooks to audiobooks with chapters and metadata using Calibre and Coqui XTTS.
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Fine-tuning Llama 3.2 Models Locally and in the Cloud
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Here's how you can easily fine-tune latest llama 3.2 (1b and 3b) locally and on cloud:
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Starlink reaches 4M subscribers, Runway funds AI video production
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Prêt pour votre rendez-vous avec l’innovation ?
Starlink passe la barre des 4 millions d’abonnés
Runway va financer des vidéos AI à hauteur de 5 M$
Le plus grand datacenter d’Europe coûtera 10 Mrds £
Notebook de Google résume les vidéos YouTube
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Accelerating Long-Context LLMs with Massive Input Token Reduction
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Discovering the Gems in Early Layers Accelerating Long-Context LLMs with 1000x Input Token Reduction discuss: https://
huggingface.co/papers/2409.17
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… Large Language Models (LLMs) have demonstrated remarkable capabilities in handling long context inputs, but this comes at the cost of increased -
Microservices Approach for Query Optimization and Reusable Functions
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I’ll probably do another post on it, but with this system, I think you want a micro service inspired approach where every query gets broken down into reusable functions first and then wrapped in a function that uses those. Overtime, you should have to create less low-level
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Delta Lake and Iceberg creators discuss open table formats
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For many organizations, struggling with which table format to choose delays lakehouse adoption. There’s an easier way. Hear from the original creators of Delta Lake & Iceberg on the state of open table formats & how Databricks solves #interoperability: https://
dbricks.co/4ejg3my -
Llama 3.2: Lightweight 1B and 3B Models for On-Device AI
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With Llama 3.2 we released our first-ever lightweight Llama models: 1B & 3B. These models empower developers to build personalized, on-device agentic applications with capabilities like summarization, tool use and RAG where data never leaves the device. pic.twitter.com/dTEkGDpeFF
— AI at Meta (@AIatMeta) 26 septembre 2024With Llama 3.2 we released our first-ever lightweight Llama models: 1B & 3B. These models empower developers to build personalized, on-device agentic applications with capabilities like summarization, tool use and RAG where data never leaves the device.
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HTMX vs Client-Side JSON HTML Conversion Trade-offs
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OMG you're telling me all this time I've been learning HTMX, I could have just been converting Json to HTML using a client side library?! Ugh what a waste of time…