Spark, AI, Elastic, BM25, Data Science, Algorithms, Vectors, Embeddings

UC Berkeley’s introductory machine learning course gets optimized for the AI age
cdss.berkeley.edu·5h
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Our latest commitments in AI and learning
blog.google·1d
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Building an autograd engine in pure Rust
evis.dev·1h·
Discuss: Hacker News
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SciDaSynth: Interactive Structured Data Extraction from Sci Literature with LLM
onlinelibrary.wiley.com·3d·
Discuss: Hacker News
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Krish Naik: Ultimate RAG Bootcamp Live Induction Session
dev.to·2d·
Discuss: DEV
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Building SqURL: A Human's and an AI's Perspective
ronforrester.substack.com·9h·
Discuss: Substack
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Meta’s SPICE framework pushes AI toward self-learning without human supervision
infoworld.com·14h
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.org·2d
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Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
arxiv.org·20h
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Indic LLM-Arena: Benchmarking AI for Indian Languages & Culture
analyticsvidhya.com·20h
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Coherence Mechanisms for Provable Self-Improvement
arxiv.org·20h
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Federated AI's Achilles' Heel: Can Collaborative Teaching Fix Data Corruption?
dev.to·55m·
Discuss: DEV
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Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
arxiv.org·1d
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L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
arxiv.org·1d
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Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models
arxiv.org·1d
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Fast‑Track Knowledge Bases: How to Build Semantic AI Search by Andriy Burkov
dev.to·2d·
Discuss: DEV
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EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
arxiv.org·1d·
Discuss: Hacker News
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A Photomicrographic Dataset of Rocks for the Accurate Classification of Minerals
nature.com·1d
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Looking for feedback on inference optimization - are we solving the right problem? [D]
reddit.com·1d·
Discuss: r/LLM
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