💬 LLMs - reg · Scour

Granite 4.1 LLMs: How They’re Built ✨Generative AI

huggingface.co·1d·Hacker News

From $200 to $30: Five Layers of LLM Cost Optimization 🔓Open Source AI

blog.dwornikowski.com·6d·Hacker News

Cross-checking LLM outputs at scale without manual overhead ✍️Prompt Engineering

asknestr.com·4d·r/OpenAI

This survey presents a comprehensive and structured synthesis of memory in LLMs and MLLMs, organizing the literature into a cohesive taxonomy comprising implicit, explicit, and agentic memory paradigms. 🤖Agentic AI

Fixing What LLMs Get Wrong (22 minute read) ✍️Prompt Engineering

thebigdataguy.substack.com·4d·Substack

Language Generation in the Limit ✨Generative AI

openreview.net·6d

Large Language Models are Not Table Saws ✨Generative AI

agentultra.com·3d·Hacker News

Ziggit and Large Language Models ✨Generative AI

MoRFI: Monotonic Sparse Autoencoder Feature Identification ✨Generative AI

Training a Transformer to Compose One Step Per Layer (and Proving It) ✨Generative AI

lesswrong.com·4d

RNN to Transformer NMT: PyTorch Migration with 2.8x BLEU Gain ✨Generative AI

tildalice.io·6d

I build my LLM a Brain ✍️Prompt Engineering

news.ycombinator.com·3d·Hacker News

Reimagining Kernel Generation at the PTX Layer: An LLM System Learning from DSLs to Outperform Them ✍️Prompt Engineering

standardkernel.com·3d·Hacker News

Select to Think: Unlocking SLM Potential with Local Sufficiency ✨Generative AI

Delineating Knowledge Boundaries for Honest Large Vision-Language Models ✨Generative AI

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt ✨Generative AI

LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models ✨Generative AI

Language Anchoring: A Systematic Method for LLM Multilingual Adaptation ✨Generative AI

github.com·3d·Hacker News

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients ✨Generative AI

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation ✨Generative AI

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