Can you cancel queries in a way that would save you money? If not, may as well leave it to finish so you can gather the usage
DATA
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Model Training Requires Intensive Weight Adjustment and Data Tuning
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Not great w/o adjusting the weights. This result took weeks of intense data tuning + full-scale training.
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Google could release 1M context window
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I am betting for Bots and Memory at least, but those are feature gaps The only exciting thing that comes to my mind which Google can potentially introduce – is a release of a 1M context window to a public consumer
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Manufacturing Data Optimization for Energy Efficiency Solutions
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Unlock the power of #ManufacturingData! Join our webinar on 5/28 to discover how to: Maximize efficiency with Alteryx tools See real-life examples of energy-saving solutions Get your burning questions answered in a live Q&A Register: https://
ow.ly/EAOB50RxC7Q -
Developing GenAI Applications With Data Governance
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How do you develop #GenAI applications on your data without sacrificing governance? Find out at Databricks’ #DataIntelligenceDay in a city near you! Registration is open for Auckland, Dallas, Brisbane, and Mumbai — don’t miss it: https://
dbricks.co/3TAyOJd -
Datasette Enrichments Tool Demonstration Platform
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Actually this is a more relevant demo https://
simonwillison.net/2023/Dec/1/dat
asette-enrichments/#demonstrating-enrichments
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Fine-tuning LLMs with Enterprise Data for Business Automation
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While Llama 3 and Phi-3 are amazing breakthroughs, they must be trained on enterprise data before they can be trusted to automate critical business functions. AI data development is the key to fine-tuning LLMs for domain-specific tasks. https://
buff.ly/3UpUVST -
datasette-enrichments-gpt: AI-powered CSV data enrichment in SQLite
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My datasette-enrichments-gpt plugin is good for that – you can import CSV into SQLite and then use that plugin to run different prompts against the tabular data and store the results Demo here: https://
simonwillison.net/2024/Apr/17/ai
-for-data-journalism/#enriching-data-in-a-table
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PySpark DataFrame Equality Testing for Confident Data Transformations
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PySpark DataFrame equality test functions help you apply transformations, aggregations, and manipulations with a lil’ extra confidence We shared some examples so you can learn how to use this feature https://
dbricks.co/3V7pZce -
Data Soup: How AI Processes Training Information
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Souped up in the sense of turned into data soup.