The integration of Ray and Databricks offers a uniquely powerful solution to your AI development needs. Now in GA, see how this collaboration creates a cohesive ecosystem where logical and data parallelism thrive together:
DATA
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Jeevantika Lingalwar’s Journey Through Data Science and AI
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Jeevantika Lingalwar’s Journey Through Data Science, AI, and Quantum Computing: We, at Anaytics Vidhya, believe in the power of storytelling. Celebrating Women’s Day, we… https://
analyticsvidhya.com/blog/2024/03/j
eevantika-lingalwars-journey-through-data-science-ai-and-quantum-computing/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #Blockchain #CIO #SaaS #DeepLearning #AI -
AI Policy: Balancing Competition, Security, Privacy and Sustainability
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Policy makers should consider the interactions between AI, data, competition law, security/privacy & carbon/ climate/ energy policy. There are emerging techniques that help address these issues such as Federated Learning w/Differential Privacy;
RAG w/LLMs;
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Cisco Launches HyperShield AI Security Product After Splunk Deal
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Cisco is launching a new AI-focused security product, called HyperShield, on the back of its $28bn Splunk deal. “We’re moving from a world of scarcity to a world of abundance, with digital AI assistants for everything,” @jpatel41 told CNBC.
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Training Strategy: Pre-2021 Data Priority Over AI-Generated Content
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With all the AI-generated content flooding the web There might be something to first training on content from 2021-on And then continuing to train on pre-2021 content
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Data is All You Need: Large Robot Action Models and Engineering
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Looking fwd to presenting a new talk: "Data is All You Need: Large Robot Action Models and Good Old Fashioned Engineering" @Stanford Robotics Seminar on Friday: https://
stanfordasl.github.io/robotics_semin
ar/
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Databricks Marketplace Launches Premier Finance Datasets
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Premier datasets in finance are now available on the #DatabricksMarketplace, thanks to @ICE_Markets
. These datasets enable key use cases like time-series analysis, relative value, spread analysis, and assessing climate risk exposure. http://
dbricks.co/4cYPFOx -
Dataset Limitations: Missing the Full Distribution of Correct Answers
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Issue in mind is not so much human bias but the fact that the full distribution of correct or desirable answers to your prompts is almost certainly not present in your dataset, only a few samples.
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Document Upload Transparency and AI Processing Visibility
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I want to know exactly what happens to documents I upload to it – how they are split and chunked, how text is extracted from PDFs, what gets embedded and stored, and what gets retrieved and included in prompts (Ideally I'd like a debug interface that lets me see it for myself)
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AI for Data Journalism: Practical Applications and Demonstrations
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I gave a 50m talk at the Story Discovery at Scale data journalism conference at Stanford a few weeks ago. The video is now out, and I've written an extensive annotated version AI for Data Journalism: demonstrating what we can do with this stuff right now