See for example the captions humans have generated for images on the web (alt text): eg https://
huggingface.co/datasets/googl
e-research-datasets/conceptual_captions?row=61
… and let’s look at an example 1/3
DATA
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Human-Generated Image Captions for AI Training Data
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RAG limitations: moving beyond data retrieval to pattern summarization
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Also as some ppl pointed out, this is harder to get right so quality varies across solutions and none working perfectly yet.* People don’t want to just find specific pieces of data, but want summaries and patterns. This is more than basic RAG. *tell me if you find one!
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Vector Embeddings and RAG Optimization Best Practices
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Upserting data as vector embeddings is important when building a RAG application. There are many factors at play, such as chunk sizes, overlap, vector dimensions, etc. Shoutout to @toi500
, who has been helping to improve our docs and his recent work on the guides for upserting -
Databricks Notebooks Next Generation Features AI-Powered
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Meet the next generation of Databricks Notebooks Key enhancements you can now expect: Modern UX New Results Table More powerful Python features AI-Powered Authoring https://
dbricks.co/3yP2D1G -
Data Intelligence Democratization Drives Rangers Championship Path
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"Baseball is a marathon, and quick feedback is necessary for our players," – Alexander Booth, Assistant Director of R&D at the @Rangers
. Learn how data intelligence helped democratize insights across the org and support the path to a world championship. -
Analytics Automation Optimizes Supply Chain Decision Making
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Is your supply chain vulnerable? You must have timely insights to make informed decisions. Read our whitepaper to learn how you can use #AnalyticsAutomation to optimize your #Supplychain in critical areas. https://
ow.ly/K7SG50Ss3UG #Analytics #SupplyChainAnalytics -
Hugging Face Hits 5000 Daily Repositories Milestone
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5,000 new repos (models, datasets, spaces) are created every day on Hugging Face!
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Synthetic Data Superiority in Generative AI Models
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It amazes me that so many (even tech) people still don't get the transformative power of generative AI. The best text to image and video models in existence today all use synthetically generated captions (see e.g. Dalle 3 paper). Human generated data is substantially inferior.
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Open Variant Data Type Accelerates Semi-Structured Data Processing
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Introducing a new data type for semi-structured data: open variant! 8x faster processing Flexibility for highly nested and evolving schema Open source Available in Delta Lake 4.0 and Apache Spark https://
bit.ly/45FvpOL -
Democratic Governance of AI Training Data and Values
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Good point! My solution:
– Citizens vote on the training data, especially for values and preferences
– We'd need a transparent auditing process to ensure legitimacy – just like with elections