‘Our goal is to build bridges between the lab and the classroom’
news.stanford.edu·3h
🧠Machine Learning
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Unleashing Creativity: Exploring Top Generative AI Datasets for Multimodal Innovation
labellerr.com·4d·
Discuss: DEV
⚙️Model Fine-tuning
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The beginning of the end of the transformer era? Neuro-symbolic AI startup AUI announces new funding at $750M valuation
venturebeat.com·13h
⛓️LangChain
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The Math That Makes Zero-Shot Learning Work: A Proof Using Only Addition
pub.towardsai.net·21h
🔍RAG
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How To Ensure AI Does Not Make Information Overload Worse At Work
forbes.com·14h
📝Natural Language Processing
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Set up RAG with Genkit and Firebase in 15 minutes
dev.to·13h·
Discuss: DEV
🔍RAG
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Reasoning Models Sometimes Output Illegible Chains of Thought
arxiv.org·22h
⛓️LangChain
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A Soft‑Fork Proposal for Blockchain‑Based Distributed AI Computation
hackernoon.com·16h
⛓️LangChain
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Algorithmic Bias Mitigation in Federated News Recommendation via Causal Graph Regularization
dev.to·16h·
Discuss: DEV
🧠Machine Learning
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Understanding LangChain and LangGraph: A Beginner’s Guide to AI Workflows
dev.to·12h·
Discuss: DEV
⛓️LangChain
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In AI, Everything is Meta
dev.to·7h·
Discuss: DEV
🤖AI
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AI Inference: The Silent Budget Killer (and How to Stop It)
dev.to·2d·
Discuss: DEV
🤖AI
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·22h
🗄️Vector Databases
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Do LLMs Signal When They're Right? Evidence from Neuron Agreement
arxiv.org·3d
📝Natural Language Processing
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
paperium.net·1d·
Discuss: DEV
🗄️Vector Databases
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Building Syllabi – Agentic AI with Vercel AI SDK, Dynamic Tool Loading, and RAG
dev.to·1d·
Discuss: DEV
⛓️LangChain
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From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
dev.to·5h·
Discuss: DEV
👁️Computer Vision
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GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
paperium.net·3d·
Discuss: DEV
🔍RAG
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Building "RAG from Scratch". A local, educational repo to really understand Retrieval-Augmented Generation (feedback welcome)
reddit.com·4d·
Discuss: r/LocalLLaMA
🔍RAG
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Using “ibm-granite/granite-speech-3.3–8b” 🪨 for ASR
dev.to·1d·
Discuss: DEV
⛓️LangChain
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