RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Sarthi et al.: https://
arxiv.org/abs/2401.18059 #ArtificialIntelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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RAPTOR: Recursive Abstractive Processing Tree Retrieval
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No LLM poisoning attacks; Sleeper Agents expected soon
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There haven’t been any serious LLM poisoning attacks shown to exist “in the wild” AFAIK but Sleeper Agents came out Jan 10 so data scraped this year is where you’d start to seem them — give it a few months: https://
arxiv.org/abs/2401.05566 -

SeaLLMs: Large Language Models for Southeast Asia
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SeaLLMs — Large Language Models for Southeast Asia Nguyen et al.: https://
arxiv.org/abs/2312.00738 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI breakthroughs emerge from hands-on experimentation in Jupyter notebooks
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Important breakthroughs in AI will come from tinkering around with ideas and models on Jupyter notebooks.
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Survival as an Emergent Objective in Hostile Environments
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What if the objective is something that isn’t hand-engineered per se, like an agent’s ability to survive in a hostile (perhaps, simulated) environment?
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MLX LoRA Fine-tuning Guide for Language Models
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https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
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GPU Evolution: From Single Unit PhD Research to Multi-Node Computing
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As a person who only spent one gpu during all phd time on the topic of transfer learning, there is a gap between old days and present day with a bunch of nodes. While I am already yearning for more
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SymbolicAI: Logic-Based Generative Models and Solvers
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SymbolicAI: A framework for logic-based approaches combining generative models and solvers Dinu et al.: https://
arxiv.org/abs/2402.00854 #ArtificialIntelligence #DeepLearning #MachineLearning -
Database Adaptation for MLX LoRA Implementation
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I took the original database and adjusted it using a Python code so that it could fit the format required by MLX. You can see all the information here. https://
github.com/ml-explore/mlx
-examples/tree/main/lora
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Apple MLX Community Growing on Hugging Face Platform
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Very cool to see the @Apple MLX community growing on @huggingface
! Join it if you're excited about on-device AI: https://
huggingface.co/mlx-community