davila7

Assists in writing publication-ready ML/AI papers with tools for citation verification and LaTeX templates for top conferences.

Chroma is an open-source embedding database for AI applications, enabling efficient storage and retrieval of embeddings and metadata.

Generates unique algorithmic art using p5.js, emphasizing computational beauty and interactive exploration of parameters.

This skill enhances marketing copy through systematic editing, ensuring clarity, tone consistency, and persuasive messaging.

Facilitates rapid launch of micro-SaaS products with strategies for validation, MVP development, and pricing to achieve sustainable revenue.

Facilitates interaction with Jira for managing issues, tickets, and sprints through natural language commands and backend detection.

Identifies and diagnoses SEO issues to enhance organic search performance through actionable recommendations.

Facilitates efficient handling of Excalidraw files by delegating operations to subagents, optimizing context usage for architecture visualizations.

Enables the creation of AI agents that interact with computers like humans, focusing on security and automation through vision-based control.

Facilitates training of large language models using NVIDIA Megatron-Core with advanced parallelism for optimal GPU efficiency.

Enhances LLM inference speed and reduces latency using advanced decoding techniques for real-time applications.

Evaluates code generation models using benchmarks like HumanEval and MBPP, providing insights into coding abilities and quality.

Evaluates LLMs using 60+ benchmarks for model quality assessment, widely adopted in academic and industry settings.

Facilitates comprehensive code and plan reviews using Gemini CLI, ideal for large context processing and multi-file analysis.

Facilitates multi-cloud orchestration for ML workloads, optimizing costs and managing resources across various cloud providers.

Enhances LLM applications with observability, tracing, and prompt management using Langfuse for improved performance and debugging.

Expertly builds stateful, multi-actor AI applications using LangGraph, focusing on graph construction and state management.

Enables researchers to interpret and manipulate PyTorch model internals, facilitating remote execution for massive models without local GPU resources.

Guides users in training and analyzing Sparse Autoencoders to uncover interpretable features in neural network activations.

Guides mechanistic interpretability research using TransformerLens to analyze transformer models and their internal mechanisms.