For the sake of clarity, Sourcegraph: Cody did RAG-style context fetching. However, Amp does not use RAG for context fetching.
Look at Taichi at Github. This library for Python seems not very popular and unaware. Maybe, because it is a Chinese development, but Taichi is simple and compiles directly down to kernels on CUDA, GPU, Metal, Vulkan…
They use Claude 2 as AI backend with a 100K context window. In my experience Claude is better at programming than GPT-4 because it has a much younger cut-off date and because of the context window to process knowledge.…
For the sake of clarity, Sourcegraph: Cody did RAG-style context fetching. However, Amp does not use RAG for context fetching.
Look at Taichi at Github. This library for Python seems not very popular and unaware. Maybe, because it is a Chinese development, but Taichi is simple and compiles directly down to kernels on CUDA, GPU, Metal, Vulkan…
They use Claude 2 as AI backend with a 100K context window. In my experience Claude is better at programming than GPT-4 because it has a much younger cut-off date and because of the context window to process knowledge.…