AI Research Topics

Large Language Models

Research and analysis on GPT, Claude, Gemini, Llama, and other large language models — architecture, benchmarks, and capabilities.

Autonomous AI agents, tool use, multi-step reasoning, and agent frameworks — from research papers to real-world applications.

Open-source models, datasets, and tools — Llama, Mistral, Stable Diffusion, and the open AI ecosystem.

Chain-of-thought, mathematical reasoning, logic, and problem-solving capabilities of AI systems.

Vision-language models, image generation, video AI, and cross-modal research — from DALL-E to GPT-4V.

AI alignment research, safety evaluations, red-teaming, jailbreaking, and responsible AI development.

Model fine-tuning techniques, LoRA, RLHF, DPO, pre-training strategies, and training infrastructure.

Retrieval-augmented generation, vector databases, embeddings, and knowledge retrieval systems.

Code generation, AI-assisted development, Copilot, Cursor, Claude Code, and programming benchmarks.

Model benchmarks, leaderboards, evaluation methodologies, and performance comparisons across AI systems.