Update readme.md

Signed-off-by: Connor Shorten <[email protected]>

readme.md

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 # Weaviate Gorilla
 
-The Weaviate Gorilla project is a collection of research experiments in two core concepts: 
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-(1) Agents and Function Calling with Weaviate
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-(2) Creating synthetic training and testing data with Generative Feedback Loops
+The capabilities of Large Language Models (LLMs) are rapidly accelerating largely thanks to their integration with external tools. Querying databases is among the most effective of these integrations, enabling LLMs to access private or continually updating data. This repo benchmarks how well Large Language Models can utilize Weaviate's query APIs in the Function Calling framework. The following result table summarizes our most recent experimental results.
 
 ![Weaviate Gorilla Leaderboard](./visuals/result-table.png)