Large Language Models

Google VP Warns Two AI Startup Categories Face Extinction in Sales

GoT (Graph of Thoughts) explanation

My Claude API Bill Was Growing Fast — Here’s How I Cut It With Semantic Caching

Local RAG: How I Turned My 10-Year PDF Archive into a Private Search Engine

Andrej Karpathy’s Claude Code Skills

Andrej Karpathy’s Claude Code Skills

How to Use AI to Solve Doubts at 2 AM — A Student's Workflow

Meet The Asian Billionaires Powering The Global AI Boom

You Feel Like You Understand — That’s Exactly the Problem

I Used Claude AI Every Day for 30 Days Instead of ChatGPT — Here’s What Nobody Tells You

I Used Claude AI Every Day for 30 Days Instead of ChatGPT — Here’s What Nobody Tells You

Top AI Skills You Need in 2026

Mastering AI: Essential Tips and Strategies for Effective Prompt Engineering — Yapay Zekayı…

TinyBrain++: A Compact, Interpretable Alternative to Black-Box AI

Our Future With AI-And Why I Keep Changing My Mind About It

SatsResearch AI | Claude API Proxy Access — From 83% Off

Build Your Own AI Quiz Engine: A Beginner’s Guide to RAG, LangChain, and Structured Outputs

Context Budget Optimization: How to Design MCP Tools That Don’t Waste Tokens

llm-schema-validator: A Practical Pipeline for Schema-Guided LLM Responses

RAG vs. Fine-Tuning: Which One Actually Stops Your AI From Lying?

RAG vs. Fine-Tuning: Which One Actually Stops Your AI From Lying?

Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.

Run LLMs on Your Laptop

Run LLMs on Your Laptop

Bifrost Is What Happens When LLM Infrastructure Grows Up

Finetuning vs Prompt Engineering

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses

Narrative-Driven Paper-to-Slide Generation via ArcDeck

Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation Space

Memory as Metabolism: A Design for Companion Knowledge Systems

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks

The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval

Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation

EMBER: Autonomous Cognitive Behaviour from Learned Spiking Neural Network Dynamics in a Hybrid LLM Architecture

Evaluating Relational Reasoning in LLMs with REL

Beyond Scores: Diagnostic LLM Evaluation via Fine-Grained Abilities

Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering

Designing Reliable LLM-Assisted Rubric Scoring for Constructed Responses: Evidence from Physics Exams

HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm

A Scoping Review of Large Language Model-Based Pedagogical Agents

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints

Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models

Operationalising the Right to be Forgotten in LLMs: A Lightweight Sequential Unlearning Framework for Privacy-Aligned Deployment in Politically Sensitive Environments