🧱 Chunking

Memory Strategy, Pattern Recognition, Information Grouping, Learning

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Scoured 5095 posts in 296.5 ms
1% vs. 67%: What happened when we stopped trusting embeddings alone
roampal.ai·1d·
Discuss: Hacker News
🔍RAG
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MIT's Recursive Language Models Just Killed Context Limits
pub.towardsai.net·13h
🔧DSPy
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How to Make AI Reconstruct Context Without Memory
dev.to·2d·
Discuss: DEV
🤖spec-driven ai-assisted development
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Memchunk – SIMD-accelerated text chunking at 1 TB/s
minha.sh·3d·
Discuss: Lobsters, Hacker News
📉Model Quantization
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Xpple875/CopyFlow: A tool that takes your messy list of items and splits them up individually to paste
github.com·1h·
Discuss: r/opensource
🔤Text Processing
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Persistent memory for AI across tools
bind.ly·1d·
Discuss: Hacker News
💬AI Code Assistants
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Fragments: January 8
martinfowler.com·7h
💬Prompt Engineering
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Impossibility Theorems for Fixed-Axis Classification Systems: With Application to Type Theory
zenodo.org·2d·
Discuss: Hacker News, Hacker News
🗂️Vector Databases
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Aggregating and critiquing retail investor theses with NLP
episteme.cloud·1d·
Discuss: Hacker News
🔍RAG
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The XOR Cache: A Catalyst for Compression
danglingpointers.substack.com·2d·
Discuss: Substack
⚡Cache Optimization
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🔗 What I learned building a vector database on object storage
yellowduck.be·2d
🗂️Vector Databases
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roboticcam/machine-learning-notes: My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
github.com·3d
📱Edge AI
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AI Research
marekpoliks.com·1d
⚖AI Ethics & Alignment
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Data Modeling for RAG That Works
thehyperplane.substack.com·1d·
Discuss: Substack
🏗️Content Modeling
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How Attention Shapes Knowledge Retention
memoryrush.online·4d·
Discuss: DEV
🧠Active Recall
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[$] Lessons from creating a gaming-oriented scheduler
lwn.net·1d
🔵Go
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Task-free intelligence testing of LLMs (Part 1)
marble.onl·1d·
Discuss: Hacker News
🔧DSPy
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matomatical/hijax: An introduction to vanilla JAX for deep learning
github.com·1d·
Discuss: Hacker News
💸Affordable LLMs
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Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
paperium.net·2d·
Discuss: DEV
🖼️Dual Coding
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Grafted Titans: I Built a Plug-and-Play Neural Memory for Open-Weight LLMs
msukhareva.substack.com·3d·
Discuss: r/LocalLLaMA
📱Edge AI
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