Show HN: Erdos – open-source, AI data science IDE
lotas.aiΒ·15hΒ·
Discuss: Hacker News
πŸ”„Burrows-Wheeler
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Porting Skills (and Superpowers) to OpenAI Codex
blog.fsck.comΒ·1d
βš”οΈLean Tactics
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GLP-1 Therapeutics: Their Emerging Role in Alcohol and Substance Use Disorders
academic.oup.comΒ·5hΒ·
Discuss: Hacker News
πŸ“¦METS Packaging
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Parsing Webpages with a LLM – Revisited
hdembinski.github.ioΒ·2dΒ·
Discuss: Hacker News
πŸ“Concrete Syntax
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Sourcing Data from Multiple Platforms Using Tableau: A Complete Guide with Real-Life Applications
dev.toΒ·21hΒ·
Discuss: DEV
πŸ“œFamily History Data
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Explicit APIs vs. Magic Directives
inngest.comΒ·3dΒ·
Discuss: Hacker News
πŸ”„Archival Workflows
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PLAN: Proactive Low-Rank Allocation for Continual Learning
arxiv.orgΒ·1d
β§—Information Bottleneck
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PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
arxiv.orgΒ·3h
πŸ”Information Retrieval
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AI-Powered Contractual Ambiguity Resolution via Semantic Graph Alignment and Bayesian Inference
dev.toΒ·9hΒ·
Discuss: DEV
πŸ”—Constraint Handling
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How to Secure a Legal AI Chatbot So It Doesn’t Leak Client Data With Easy Steps to Protect Your Law Firm
dev.toΒ·11hΒ·
Discuss: DEV
βš–οΈLegal Compliance
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My Experience with GoFr – Building Backend Apps Faster Than Ever!
dev.toΒ·19hΒ·
Discuss: DEV
πŸ“°Feed Readers
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Building Smarter AI: Types of Memory and How to Make Your Agent Remember
dev.toΒ·1hΒ·
Discuss: DEV
πŸ’ΎPersistent Memory
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Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
arxiv.orgΒ·3h
🧠Machine Learning
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Leverage Unlearning to Sanitize LLMs
arxiv.orgΒ·1d
πŸ’»Local LLMs
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Day 17 of My AI & Data Mastery Journey: From Python to Generative AI
dev.toΒ·2hΒ·
Discuss: DEV
⚑Proof Automation
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πŸ“š Reading Data from Various Data Sources Using Pandas: A Beginner’s Guide
dev.toΒ·2dΒ·
Discuss: DEV
🌳Format Genealogy
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Quiz: Using Python Optional Arguments When Defining Functions
realpython.comΒ·19h
πŸ”—Lisp
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[Show r/golang] firstgo - a tiny Go app for prototyping web services with sketches
reddit.comΒ·2dΒ·
Discuss: r/golang
πŸ”§Binary Parsers
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GigaEmbeddings: Efficient Russian Language Embedding Model
arxiv.orgΒ·3h
πŸ”„Burrows-Wheeler
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