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thecalebf

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Show HN: WebLLM Playground – Run LLMs in the Browser on WebGPU

cfahlgren1-webllm-playground.static.hf.space
3 points·by thecalebf·2 năm trước·0 comments

Valve New Employee Handbook (2012) [pdf]

steamcdn-a.akamaihd.net
108 points·by thecalebf·2 năm trước·112 comments

Show HN: SmolCopilot – 360M LLM writing assistant in the browser

github.com
11 points·by thecalebf·2 năm trước·0 comments

Show HN: I Made a Chrome Extension to Query Hugging Face Datasets with SQL

chromewebstore.google.com
2 points·by thecalebf·2 năm trước·1 comments

[untitled]

1 points·by thecalebf·2 năm trước·0 comments

[untitled]

1 points·by thecalebf·2 năm trước·0 comments

Show HN: Natural-SQL-7B, a strong text-to-SQL model

github.com
362 points·by thecalebf·2 năm trước·168 comments

[untitled]

1 points·by thecalebf·3 năm trước·0 comments

[untitled]

1 points·by thecalebf·3 năm trước·0 comments

Show HN: Query CSV files in the browser with SQL

chatdb.ai
3 points·by thecalebf·3 năm trước·0 comments

comments

thecalebf
·2 năm trước·discuss
the graphics in it make it so much better
thecalebf
·2 năm trước·discuss
The Chrome Extension is open source and is powered by DuckDB WASM which loads the parquet conversion of the datasets as views so you can query them with SQL.

Here's the repo: https://github.com/cfahlgren1/hf-data-explorer
thecalebf
·2 năm trước·discuss
Yes please do! Looks awesome, would love to help any way I can as well.
thecalebf
·2 năm trước·discuss
Sorry, it seems complicated. Since it is a finetune of Deepseek-Coder, I had to include their license.

Deepseek is pretty open, just says not to use it for: - military purposes - exploiting vulnerabilities etc.

Just trying to include as much information as possible from the initial base model.
thecalebf
·2 năm trước·discuss
Yes it is designed for users without SQL knowledge, however, it can still perform fairly well with questions on the difficult side (for non technical users) with queries having multiple joins, aggregations, ratios, and subqueries.

Next step is fine tuning and leveraging larger models that can handle very complex questions, reasoning, and data schemas since this is only a 7B.
thecalebf
·2 năm trước·discuss
Currently Postgres yes, already working on a dataset with more DDLs like MySQL, DuckDB, MSSQL, etc for a second iteration.
thecalebf
·2 năm trước·discuss
Neat, would you ever use a local model for that if it could work with ORMs?
thecalebf
·2 năm trước·discuss
That is really interesting. I took note of this. That would be really cool!
thecalebf
·2 năm trước·discuss
Great call out. Will definitely focus on that in the next iteration!
thecalebf
·2 năm trước·discuss
No, those are benchmark, evaluation questions. The fine tune dataset was a custom, synthetically generated dataset of ~20k PostgreSQL Text to SQL pairs covering different SQL categories and question types.

I mention a little more about it here https://x.com/calebfahlgren/status/1754247740291207198?s=20
thecalebf
·2 năm trước·discuss
Updated the title since it may have been confusing, appreciate the feedback!
thecalebf
·2 năm trước·discuss
Not yet, planning to build an open source, local, CLI tool that utilizes natural-sql though!
thecalebf
·2 năm trước·discuss
Sure, there is a blog post with some other examples of the first model iteration with more complex, multipart questions. https://www.chatdb.ai/post/naturalsql-vs-sqlcoder-for-text-t...

I will update that to be a more truly difficult question. Appreciate the feedback!
thecalebf
·2 năm trước·discuss
Thanks! Yes, that was an earlier iteration. The v1 is here https://huggingface.co/chatdb/natural-sql-7b. Plan to push to Ollama soon and build an open source free tool around it.

Would love to hear about what you are building!
thecalebf
·2 năm trước·discuss
Very neat! I am building something very similar, called ChatDB.ai