📝 BERT

Language Models, Text Classification, Named Entity Recognition

Deselection Deep Dive: University of California Berkeley’s Experience with the WEST Internet Archive Pilot
cdlib.org·14h
⛓️LangChain
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Working with Stories
workingwithstories.org·12h·
Discuss: Hacker News
📝Natural Language Processing
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Testing speech recognition with Playwright - dkarlovi.github.io
dkarlovi.github.io·21h·
Discuss: r/programming
🤖AI
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Patrick Altman: Using Vite with Vue and Django
wedgworth.dev·14h·
Discuss: Hacker News
⛓️LangChain
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Do robots decrease humans' wages?
tandfonline.com·12h·
Discuss: Hacker News
📊Data Science
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.ai·3d·
Discuss: Hacker News
🗄️Vector Databases
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What is generative AI? How artificial intelligence creates content
infoworld.com·2d
⚙️Model Fine-tuning
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Krish Naik: Ultimate RAG Bootcamp Live Induction Session
dev.to·12h·
Discuss: DEV
🔍RAG
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Question the Requirements
lesswrong.com·3h
⛓️LangChain
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Glyph: Scaling Context Windows via Visual-Text Compression
paperium.net·1d·
Discuss: DEV
📝Natural Language Processing
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MammoAI: Transform mammograms into clear diagnoses and actionable care.
dev.to·1d·
Discuss: DEV
🚀MLOps
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I might have gone overboard. I built a custom LLM for my .env extension... and now I just shipped a massive UI overhaul for it.
dev.to·2d·
Discuss: DEV
🚀MLOps
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
arxiv.org·3h
⚙️Model Fine-tuning
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Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
arxiv.org·1d
🚀MLOps
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QueST: Incentivizing LLMs to Generate Difficult Problems
dev.to·1d·
Discuss: DEV
⛓️LangChain
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A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
arxiv.org·1d
🤖AI
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I started using Claude Skill for my content planning and strategy. IMO, markdown is unsettling but it is the way forward.
reddit.com·22h·
Discuss: r/ClaudeAI
⛓️LangChain
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Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
arxiv.org·3h
⚙️Model Fine-tuning
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Annotation-Efficient Universal Honesty Alignment
dev.to·23h·
Discuss: DEV
🤖AI
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An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
arxiv.org·1d
⛓️LangChain
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