Finetuning an Embedding-Model
reddit.com·5d·
Discuss: r/LocalLLaMA
🗄️Vector Databases
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[D] Best (free) courses on neural networks
reddit.com·4h·
🤖Transformers
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Show HN: I trained an AI to write my YouTube titles
joshfonseca.com·17h·
Discuss: Hacker News
🤖AI
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ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
paperium.net·18h·
Discuss: DEV
🚀MLOps
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From Data to Rewards: a Bilevel Optimization Perspective on Maximum LikelihoodEstimation
dev.to·7h·
Discuss: DEV
🤖AI
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Value Drifts: Tracing Value Alignment During LLM Post-Training
arxiv.org·1d
🚀MLOps
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HUME: Measuring the Human-Model Performance Gap in Text Embedding Task
paperium.net·10h·
Discuss: DEV
📝Natural Language Processing
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Start Speaking AI: Easy Explanations for 15 Common Terms
future.forem.com·1d·
Discuss: DEV
🤖AI
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.to·1d·
Discuss: DEV
⛓️LangChain
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My ML Learning Journey: From Confusion to Building a Working Model
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
dev.to·1d·
Discuss: DEV
🗄️Vector Databases
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7 AI Study Workflows Developers Use to Learn Faster (Prompt Recipes Included)
coursiv.io·1d·
Discuss: DEV
🤖AI
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
arxiv.org·1d
🧠Machine Learning
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Your Guide to LLM Evaluation tools
pub.towardsai.net·2d
⛓️LangChain
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[Open Source] We deployed numerous agents in production and ended up building our own GenAI framework
reddit.com·14h·
Discuss: r/LocalLLaMA
⛓️LangChain
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How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
arxiv.org·2d
🤖Transformers
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RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
dev.to·3h·
Discuss: DEV
📝Natural Language Processing
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·1d·
Discuss: Hacker News
⛓️LangChain
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