Last year, Ananya Kumar, a machine learning researcher from Stanford University, explained what foundation models are and investigated the common data science practice of fine-tuning these models. https://
youtube.com/watch?v=YzyBSD
n3OQU
… #FoundationModels #DataScience #MachineLearning
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Foundation Models and Fine-tuning Explained by Stanford Researcher
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MLOps Requirements for Enterprise Machine Learning Systems
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Building & Deploying Enterprise #MachineLearning Systems is hard. Here are 30 requirements for an #MLOps environment. @AbacusAI handles all that for you. You bring the data and the use case. Abacus delivers the #ML environment: https://
abacus.ai/mlops #DataScience #AI #ML -
Seven Characteristics of the Data-driven Enterprise
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Seven Characteristics of the #Data-driven Enterprise
by @antgrasso #BigData #ArtificialIntelligence #DataScience cc: @pbalakrishnarao @rtehrani @pascal_bornet -
Improving AI Quality Through Diversity
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Improving AI Quality Through Diversity
— Ronald van Loon (@Ronald_vanLoon) 26 mars 2024
by @Ronald_vanLoon & Errol Gardner |
Learn more: https://t.co/IQCJF1Iio4#EYAmbassador @EYnews #MWC24 #BetterWorkingWorld #ArtificialIntelligence #Technology #SupplyChain #BigData #DataAnalytics
Cc: @JimHarris | pic.twitter.com/FSEBbPIziWImproving AI Quality Through Diversity
by @Ronald_vanLoon & Errol Gardner | Learn more: https://
bit.ly/3IdvEWb #EYAmbassador @EYnews #MWC24 #BetterWorkingWorld #ArtificialIntelligence #Technology #SupplyChain #BigData #DataAnalytics Cc: @JimHarris | -
Statistics Misrepresentation: Why Averages Mislead Analysis
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Trilussa, a visionary and noted Italian poet, insightfully critiqued the limitations of relying solely on statistics through a simple yet profound example: If you eat two chickens a day and I eat none, on average, you and I eat a chicken a day – which misrepresents the reality.
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What Artificial Intelligence Actually Is
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What #AI actually is
by @ingliguori #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @terenceleungsf @yvesmulkers @pascal_bornet -
Supervised Learning versus Unsupervised Learning in Machine Learning
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Supervised learning versus unsupervised learning
by @DataScienceDojo #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @bigdata @patrickgunz_ch @ravikikan -
RAG in 2024: Retrievers, Agents, and Latest Research Insights
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🌟 RAG in 2024 with @llama_index Super excited to share that I will be speaking about RAG in 2024 with @llama_index at @SaamaOfficial Connect March Meetup in Chennai this Saturday. I will be covering a wide range of topics: 1️⃣ Retrievers 2️⃣ Agents 3️⃣ Latest Research in RAG 4️⃣ Why RAG is still relevant with the emergence of Long Context LLMs. 👥 Meetup Details : Saama Connect March Meetup – NLP Deep Dive 2024 📅 30th Mar 2024 (Saturday), 10:00 AM to 01:00 PM IST 📌 Register here – shorturl.at/rFUW0
→ View original post on X — @sudalairajkumar, 2024-03-26 04:40 UTC
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Data Compression and Loading Challenges in AI Systems
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Most people compress so well that it's not hard to be saved. The true challenge lies in being loaded again