Natural Language Processing

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Scoured 385 posts in 9.2 ms

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

 📝NLP  Content type: Academic
arxiv.org·

Making a Vintage LLM from Scratch

 📝NLP
crlf.link··Hacker News

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

 📝NLP  Content type: Code
github.com··Hacker News, r/LLM

How LLMs work | Practical Leaders

 🤖Transformers

LLM AI Chatbots are letting me down every single day

 📝NLP

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 📝NLP  Content type: Blog
towardsai.net·

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

 📝NLP

Causal Semantic Alignment for LLM-based Time Series Forecasting

 🎨Chroma  Content type: Academic
arxiv.org·

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes

 📝NLP  Content type: Academic
arxiv.org·

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

 📝NLP

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

 📝NLP  Content type: Academic
arxiv.org·

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

 📝NLP  Content type: Academic
arxiv.org·

SLUUG Talk: Demystifying Large Language Models on Linux

 📝NLP  Content type: Code
github.com··DEV

SafeRun: Enabling Determinism in LLM Planning for Running

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research

 📝NLP  Content type: Academic
arxiv.org·

markusheimerl/gpt: A generative pretrained transformer implementation

 📝NLP  Content type: Code
github.com··Hacker News

LLM Explainability with Counterfactual Chains and Causal Graphs

 📝NLP  Content type: Academic
arxiv.org·

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

 📝NLP  Content type: Academic
arxiv.org·

LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models

 📝NLP  Content type: Academic
arxiv.org·

Annotation of Positive vs Negative User Interactions for Social Sign Prediction

 📝NLP  Content type: Academic
arxiv.org·

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