View this 640-page PDF (no printing) — Information Theory, Inference, and Learning #Algorithms — https://
academia.edu/109018948/Davi
d_MacKay_Information_Theory_Inference_and_Learning_Algorithms?email_work_card=view-paper
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#DataScience #MachineLearning #Mathematics #Statistics #Probability #NeuralNetworks #DeepLearning
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Free PDF: Information Theory, Inference, and Learning Algorithms
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Elastic CEO: Leading RAG Discussion for Enterprise AI
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Please enjoy my interview with Elastic CEO Ashutosh “Ash” Kulkarni Elastic CEO: When it comes to RAG, we are leading the discussion The notion that enterprises will move away from public cloud because of AI is nonsense, says Elastic CEO Ashutosh “Ash” Kulkarni. It’s too hard to
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Yi Language Model: Full-Stack Development and Key Insights
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Final Thoughts: (5/6) In this report, we discuss the full-stack development of the Yi language model family. Key takeaways highlight the importance of data quantity and quality, along with our unique finetuning procedure outlined in the paper.
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Dynamic Resource Allocation for Yi Model Upscaling from 6B to 9B
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Depth Upscaling: (4/6) Scaling laws pose significant challenge in resource allocation. Discover our novel approach to dynamically adjust resource allocation, leading to the upscaling of Yi-6B base model to the Yi-9B base model with enhanced training efficiency & performance.
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ImageNet-12 Dataset Fits in DGX GPU Memory Easily
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yes, imagenet-12 classification set is only 200GB compressed. can literally load it into gpu memory on a dgx box easy.
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Complete Time Series Analysis and Forecasting Series with Projects
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Complete Series on #TimeSeries Analysis and #Forecasting (with Implemented Projects): https://
naina0405.substack.com/p/saturday-byt
es-complete-series-time?utm_campaign=post&triedRedirect=true
… compiled by @NainaChaturved8 ————
#PredictiveAnalytics #Statistics #DataViz #MachineLearning #DataScience #DataScientists -
NVIDIA SAP Partnership Accelerates Enterprise Generative AI
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See how NVIDIA and @SAP are expanding their partnership to accelerate enterprise customers’ ability to harness the transformative power of data and #generativeAI with new and scalable capabilities. https://
nvda.ws/3wRyptV #GTC24 -
Unbounded Data Structure from Simultaneous Operator Branching
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it’s an unbounded data structure resulting from simultaneous branching application of all possible operators on each other
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RAG Complexity: Query Understanding and Document Retrieval Challenges
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RAG is difficult to get right because the system has to understand your query before retrieving the appropriate documents from the vector store. It’s a complex machine-learning problem and you have to solve for multiple parts: query re-writing, efficient retrieval, re-ranking,
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U.S. Launches NAIRR Initiative to Boost Public AI Research
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Within the same year, we called for a National AI Research Resource (NAIRR) to drive U.S. innovation in AI by providing compute power and data access for public researchers. #MondayMilestones 3/n