Wine Classification Bookmarks | William Callahan

dev.synthetic.new

December 4, 2025

Synthetic LLM Hosted Models

Chat with open-source models privately

osaurus.ai

December 24, 2025

Osaurus — All your AI. One app.

Chat with GPT-5, Claude, Llama, and more — or download local MLX models from Hugging Face. Supercharge Cursor with powerful tools. Open source and bui...

github.com

July 8, 2025

GitHub - supermemoryai/llm-bridge: Interoperability between input formats of various LLMs, with observability, error handling, etc. built in.

Interoperability between input formats of various LLMs, with observability, error handling, etc. built in. - supermemoryai/llm-bridge

dev.synthetic.new

December 4, 2025

Synthetic LLM Hosted Models

Chat with open-source models privately

osaurus.ai

December 24, 2025

Osaurus — All your AI. One app.

Chat with GPT-5, Claude, Llama, and more — or download local MLX models from Hugging Face. Supercharge Cursor with powerful tools. Open source and bui...

github.com

July 8, 2025

GitHub - supermemoryai/llm-bridge: Interoperability between input formats of various LLMs, with observability, error handling, etc. built in.

Interoperability between input formats of various LLMs, with observability, error handling, etc. built in. - supermemoryai/llm-bridge

~/bookmarks

GitHub - ivanfioravanti/wine_variety_classification: Examples on how to use various LLM...

GitHub - ivanfioravanti/wine_variety_classification: Examples on how to use various LLM...

Discover More

Synthetic LLM Hosted Models

Osaurus — All your AI. One app.

GitHub - supermemoryai/llm-bridge: Interoperability between input formats of various LLMs, with observability, error handling, etc. built in.

Similar Content

~/bookmarks

GitHub - ivanfioravanti/wine_variety_classification: Examples on how to use various LLM...

GitHub - ivanfioravanti/wine_variety_classification: Examples on how to use various LLM...

Discover More

Synthetic LLM Hosted Models

Osaurus — All your AI. One app.

GitHub - supermemoryai/llm-bridge: Interoperability between input formats of various LLMs, with observability, error handling, etc. built in.