NLP

natural language processing, text analysis, language models, NLU

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Scoured 131 posts in 12.6 ms

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 LLMs  Content type: Code
github.com··Hacker News

A system programmer’s guide to LLM inference

 🤖AI  Content type: Blog

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings

 🔍Information Retrieval  Content type: Academic
arxiv.org·

Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels

 🔧Agent Tooling  Content type: Blog
socket.dev··Hacker News

Large companies can add a local LLM filter layer to considerably reducing their AI costs

 🤖AI

ashp15205/guardian-runtime: A zero-latency, local-first runtime firewall for LLMs. Intercept every prompt and response locally to stop data leaks and runaway token costs.

 👨‍💻AI Coding  Content type: Code
github.com··Hacker News

I built a sentiment analyzer for Hacker News (as an MCP server)

 🔧Agent Tooling
mcpize.com··Hacker News

Agentic AI frameworks compared: LangChain, LangGraph, AutoGen

 🔧Agent Tooling  Content type: Blog
udacity.com·

Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech

 ℹ️Information Theory  Content type: Academic
arxiv.org·

Vibe Diaries: Training Nanochat

 🧠Machine Learning

StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs

 🎭Claude  Content type: Blog

defai-digital/ax-engine: Apple Silicon LLM runtime supporting Gemma 4 and Qwen 3.6 MTP modes

 🤖AI  Content type: Code
github.com··Hacker News

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

 LLMs  Content type: Academic
arxiv.org·

What Are Tokens in LLMs?

 🤖LLM  Content type: Blog

How LLMs Actually Work: A Friendly Map for Humans • oreoro

 🔧Agent Tooling

Causal Semantic Alignment for LLM-based Time Series Forecasting

 LLMs  Content type: Academic
arxiv.org·

How to Measure Time To First Token (TTFT) in AI Systems

 🤖AI

Phase transition in large language models and the criticality of natural languages

 🧠Machine Learning  Content type: Academic
arxiv.org·

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 🤖AI

EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios

 🧠Machine Learning  Content type: Blog
huggingface.co·

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