LLM 模型排行

The notebooks & projects code for Generative for Backend Dev online bootcamp

Give non-multimodal Claude Code main models the ability to see pasted screenshots — a ~200-line UserPromptSubmit hook.

A curated list of resources for Grok, the AI developed by xAI

Official Implementation of "Visual Agentic Memory: Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval"

Thinking-native compiler for LEET Language Understanding item sets — killer-item design grammar, verification separation, deterministic gate chain, 3-model benchmark

Source-code level analysis of LLM RL training infra: async RL, weight sync, FP8, MoE routing | LLM RL 训练基础设施源码级分析

Hikari's curated English measured notes on local LLM systems (serving, specdec, training, steering).

TokenPowerBench: Benchmarking the power consumption of LLM inference across engines and deployment configurations

Turn any NVIDIA GPU into a local AI platform. Inference + fine-tuning in your browser. One command to start, automatic clustering.

A complete roadmap to become an AI/LLM Engineer in 2026. Free & paid courses, 5 portfolio projects, interview prep, and resources. For software engineers with Python & ML basics who want to break into AI. Covers Transformers, RAG, fine-tuning, agents, LangChain, MLOps, and deployment.

⚡️ The "1-Minute RAG Audit" — Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, async, visual reports.

Fine-tune a local LLM on your own app's data in 15 minutes. Runs entirely on-device, zero cloud after training. Apple Silicon + CUDA.

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

Customer Conversational Intelligence Platform Powered by an LLM Agent

10 legit ways to access major AI models (GPT, Claude, Llama, DeepSeek & more) for FREE — step-by-step guides, no subscription, no card.

Know your VRAM before you run. Instant GPU memory estimates for any HuggingFace model.

Local-first RAG platform — Ollama + Qdrant + Redis + MinIO. No cloud, no API keys, runs entirely on your machine.

A repository dedicated to exploring, experimenting with, and applying Generative AI concepts and tools in practical, everyday scenarios.

We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs

Add n-gram and LLM language model support to HF Transformers Whisper models.