OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search,...
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety...
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node...
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
Functional programming patterns with immutable data. Use when writing logic or data transformations.
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities
Transform weak resume bullets into achievement-focused statements with metrics and impact
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
Transform emotional reactions or venting messages from collaborators into professional, diplomatic responses suitable for difficult workplace situations with toxic managers.
Master function composition in fp-ts using pipe and flow for building elegant, type-safe data transformation pipelines
Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow
Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis
Transform data and analytics into compelling narratives and presentations
Transform BUSINESS-CASE.md into formal software requirements. Use when user has completed /create-business-case and needs SRS or User Stories documentation.
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.
Generate, evaluate, and iterate on agent skills using HuggingFace's Upskill tool. Transfer domain expertise from frontier models to smaller/local models.