Open Australian Legal GPT2
AI
legal language model
SHOW HN2023
40points
9comments
#1,217of 3,109 in 2023
Top 40%of 2023 by points
How HN took it
QuietFewer than 5 comments about the project
1 positive, 2 neutral or asking, 0 mixed, 0 critical, out of 3 comments about the project.
Idea: 1 for, 0 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Interest in legal AI for making Australian legislation searchable
From 1 comment
Is there a link to try it? This is literally the main application of ML that I’ve been awaiting for years. Making complex legislation and bureaucracy searchable and useful for…
gitgud on HN
Objections
Model is too small to beat GPT-4 on Australian law questions
From 2 comments
> 1) What’s the main use case for this? Originally, I intended to produce an LLM that could be used for answering questions related to Australian law, potentially via retrieval…
ubutler on HNSee my response to /u/nextworddev (https://news.ycombinator.com/item?id=38399702). In short, GPT-4 outperforms my LLM simply because my model is quite small (its smallest version…
ubutler on HN
Requests
A link to try the model
From 1 comment
Is there a link to try it? This is literally the main application of ML that I’ve been awaiting for years. Making complex legislation and bureaucracy searchable and useful for…
gitgud on HN
Comparison against GPT-4 with retrieval augmented generation
From 1 comment
How do you compare your own trained LLM versus using for example GPT4 + RAG (Vector DB + your Australian Law DB?
vermaat on HN
Questions
What is the main use case for the model
From 1 comment
Thanks for sharing. Two questions: 1)What’s the main use case for this? 2)Was training your own LLM necessary? How did GPT-4 compare?
nextworddev on HN
Was training a custom LLM necessary versus GPT-4
From 2 comments
Thanks for sharing. Two questions: 1)What’s the main use case for this? 2)Was training your own LLM necessary? How did GPT-4 compare?
nextworddev on HNHow do you compare your own trained LLM versus using for example GPT4 + RAG (Vector DB + your Australian Law DB?
vermaat on HN
Alternatives named
GPT-4
From 2 comments
> 1) What’s the main use case for this? Originally, I intended to produce an LLM that could be used for answering questions related to Australian law, potentially via retrieval…
ubutler on HNSee my response to /u/nextworddev (https://news.ycombinator.com/item?id=38399702). In short, GPT-4 outperforms my LLM simply because my model is quite small (its smallest version…
ubutler on HN
GPT 3.5 Turbo, Claude 2, Bard, Llama 2, Mistral
From 1 comment
> 1) What’s the main use case for this? Originally, I intended to produce an LLM that could be used for answering questions related to Australian law, potentially via retrieval…
ubutler on HN
DevonThink
From 1 comment
What do you think about DevonThink?
Obscurity4340 on HN