K Nearest Neighbors(KNN) implemented from scratch in Python: Here is the step by step explanation with code.
MACHINE LEARNING
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Build Enterprise Applied AI Systems with Abacus AI Generative Platform
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Use #GenerativeAI from @AbacusAI to Build End-to-End Enterprise Applied #AI Systems at scale: https://t.co/OTWnJshUlP = the world's first end-to-end #MLOps and #LLMOps platform where AI builds Applied AI agents and systems!
— Kirk Borne (@KirkDBorne) 1 mars 2024
——#MachineLearning #ML #DataScience #EnterpriseAI #LLMs pic.twitter.com/Cko7OZTrEaUse #GenerativeAI from @AbacusAI to Build End-to-End Enterprise Applied #AI Systems at scale: https://
abacus.ai = the world's first end-to-end #MLOps and #LLMOps platform where AI builds Applied AI agents and systems!
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#MachineLearning #ML #DataScience #EnterpriseAI #LLMs -
Hawk and Griffin: New Recurrent Transformer Language Models
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This one is for all refugees of war in the world – including a brilliant coauthor of this paper who I profoundly admire for her resilience and talent Hawk and Griffin are new recurrent transformer language models. They’re great on eval quality, speed, and their throughput is
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Optimal Strategy Tractability and Resource Constraints in AI
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Wrt tractability, I am not sure whether we can hope there is an optimal strategy, either because it represents a global optimum, or because it is whatever results from a search strategy that cannot be improved on given the resource conditions in our region of the universe.
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Clarify: Improving Model Robustness With Natural Language Corrections
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Clarify: Improving Model Robustness With Natural Language Corrections Lee et al.: https://
arxiv.org/abs/2402.03715 #ArtificialIntelligence #DeepLearning #MachineLearning -
DiPPeR: Diffusion-Based 2D Path Planning for Legged Robots
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DiPPeR: Diffusion-based 2D Path Planner applied on Legged Robots Liu et al.: https://
arxiv.org/abs/2310.07842 #ArtificialIntelligence #DeepLearning #MachineLearning -
1-Bit Neural Networks: Not New, Earlier Research from 2016
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1-bit neural nets are not new. Earlier papers from 2016: Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 https://
arxiv.org/abs/1602.02830 Ternary Neural Networks for Resource-Efficient AI Applications https://
arxiv.org/abs/1609.00222 -
Understanding Consistent Behavior Across Independent Language Models
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I’d love to understand this better too… I thought it was just a quirk of the specifics of labeling instructions, but then multiple (what I think should be mostly independent) language models seem to all do this.
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Expanding multimodal models for robotics applications
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Expanding our multimodal models for robotics:
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eBay Optimizes AI Inference Serving with NVIDIA Solutions
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Learn how @eBay uses NVIDIA solutions to optimize inference model serving for highest performance at #GTC24 on March 19. #AI #ML https://
nvda.ws/3IdpJke