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| -rw-r--r-- | content/projects/retrieval-augmented-generation.md | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/content/projects/retrieval-augmented-generation.md b/content/projects/retrieval-augmented-generation.md index 673a5c3..35695cc 100644 --- a/content/projects/retrieval-augmented-generation.md +++ b/content/projects/retrieval-augmented-generation.md @@ -20,11 +20,12 @@ source models. This was achieved with [`ollama`](https://ollama.com) and downloading and running these models locally. However, the project was expanded to -integrate with cohere and their rerank and command-r+ models, since I was especially -curious about the command-r+'s performance. These models can be downloaded and run -locally, but it took ages for my computer to generate any output, since the command-r+ -model is 104B parameters. The obvious and impressive benefit of the command-r+ is that -it generates citations from the context in its answer. +integrate with cohere and their rerank and +[command-r+](https://cohere.com/blog/command-r-plus-microsoft-azure) models, since I +was especially curious about the command-r+'s performance. These models can be +downloaded and run locally, but it took ages for my computer to generate any output, +since the command-r+ model is 104B parameters. The obvious and impressive benefit of the +command-r+ is that it generates citations from the context in its answer. Here is a [presentation](/rag.html) that gives a brief overview of what a RAG system is, and how it can be improved with reranking. |