Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems...

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats,...

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse...

Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local...

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and...

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP...

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and...

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use...

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating...

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing...

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with...

Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for...

Generate AGENTS.md and AI configuration files for your project. Use when the user wants to create agent...

Build your MVP following the AGENTS.md plan. Use when the user wants to start building, implement features, or says...