Gates Foundation

gatesfoundation

A workspace for the Gates Foundation DPI, FairFoward and Gooey teams focused on evals for low-resource languages plus the home of our Agriculture advisory work e.g. https://gooey.ai/ageval

489 Public Workflows
10 Members

(Updated Aug 30, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Igbo β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Yoruba β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 30, 2026)
This page shows a test of speech‑to‑text systems (Omnilingual & Intron Voice API) and LLMs in Nigerian Pidgin β†’ English translation pipelines.
Results

2mo ago

Public

(Updated Aug 30, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Nigerian Fulfulde β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 30, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Hausa β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 29, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Kikuyu β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 30, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Swahili β†’ English translation pipelines. Results

2mo ago

Public

(Updated Aug 30, 2026)
This page presents a comparative demonstration of multiple LLM and speech-to-text systems combinations in Kinyarwanda β†’ English translation pipelines. Results

2mo ago

Public

Bulk evaluation copy using the same input spreadsheet and evaluation workflows, with Claude Sonnet 5 Omni and Intron child workflows updated to include the shared knowledge base.

🦾

2mo ago

Public

A bulk evaluator workflow that compares AI-generated answers (copilot responses) to a set of golden reference answers. Requires input data columns: "input_prompt" (the question/task) and "reference_answer" (the ideal response). The workflow uses custom evaluation prompts to compare outputs, scoring them for accuracy and penalizing hallucinations. Aggregates results to provide an overall performance metric for your AI answers.

βš–οΈ

- dont penalize thinking

2mo ago

156 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

280 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

180 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

181 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

277 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

277 runs

Public

πŸ’¬

Added shared Google Drive file to Knowledge Base.

2mo ago

277 runs

Public