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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·3h
📊LR Parsing
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The Complete Guide to Streaming LLM Responses in Web Applications: From SSE to Real-Time UI
dev.to·1d·
Discuss: DEV
📡Protocol Buffers
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·11h·
Discuss: DEV
📊LR Parsing
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TOON for LLMs: A Comparative Performance Analysis against JSON
gist.github.com·15h·
Discuss: DEV
📋JSON Parsing
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·16h
🔤Language Tokenizers
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Made a local TTS app for pdfs.
reddit.com·3h·
Discuss: r/selfhosted
💬REPL Design
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·12h·
Discuss: r/LocalLLaMA
🧪Parser Testing
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A data-directed approach to lexing.
lambda-the-ultimate.org·4d
📝Lexer Generators
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Build Your Own NotebookLlama: A PDF to Podcast Pipeline (Open, Fast, and Fully Yours)
analyticsvidhya.com·1d
🔄Incremental Lexing
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LLM & AI Agent Applications with LangChain and LangGraph — Part 3
pub.towardsai.net·3h
📊LR Parsing
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Streamlinear, a new MCP for Linear
blog.fsck.com·1d
📏Linear Logic
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Advanced Calendar Parsing towards an 3rd Party App.
icloud.com·1d·
Discuss: r/shortcuts
Incremental Parsing
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·20h
🔧LLVM IR
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Lessons learned building GenAI apps
pmgautam.com·1h·
Discuss: r/LLM
🎮Language Ergonomics
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the myth of multitasking and other things i learned today
lollar.bearblog.dev·13h
🌳Tree Walking
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Day 20: 21 Days of Building a Small Language Model: Activation Functions
reddit.com·2h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
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Never thought I'd have my own "Local AI"
youtube.com·4h·
Discuss: r/LocalLLaMA
Incremental Parsing
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Final (?) version of my LLM proofreading macro
leancrew.com·14h
💬Interactive REPLs
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Building an Intelligent Resume Transformation Agent Powered by LangGraph and gpt-4o-mini
pub.towardsai.net·3h
💬Interactive REPLs
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Building an internal agent: Context window compaction
lethain.com·1d
🔍Tokenizers
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