smolagents

Interesting: I initially confused smol for https://github.com/huggingface/smolagents

But... why? Isn't that what smolagents[0] has done from the beginning? Also this move is blackening Mistral in my book. [0] https://github.com/huggingface/smolagents

Something like https://github.com/huggingface/smolagents Needs a sandbox, otherwise blindly executing generated code is not acceptable

This is a very weird paper. They go through all these protocols yet haven’t don’t mention the most promising one (smolagents): https://github.com/huggingface/smolagents

There’s also HF’s smolagents[1]. 1 - https://github.com/huggingface/smolagents

I’m curious how this compares to the open-source version made by HuggingFace [1]. As I can tell, the HF version uses reasoning LLMs to search/traverse and parse the web and gather results, then evaluates the results before eventually synthesizing a result. This version appears to show off a vector store for documents generated from a web crawl (the writer is a vector-store-aaS company) [1] https://github.com/huggingface/smolagents/tree/main/examples...

From the text_to_sql example: [0] My question: "Which waiter got second most total money from tips? create a jpeg with a bar chart of the total tips for each waiter." Step 0 included a correct sql query. Step 1 included python code with matplotlib, which failed because matplotlib was not in the allowed imports. The system then pivoted to another python script which printed a bar plot with ## characters. Final answer: The waiter with the second most total tips is Corey Johnson Bar Chart of Total Tips for Each Waiter: Michael Watts ################################################## (5.67) Corey Johnson ########## (1.2) Margaret James ######## (1.0) [0] - https://github.com/huggingface/smolagents/blob/main/docs/sou...