21–30 of 108 posts
Neat! How difficult would it be to extend this to SQL like query languages like Hasura and PostgREST (via Supabase)? - https://hasura.io/docs/latest/api-reference/graphql-api/quer... - https://postgrest.org/en/stable/references/api/tables_views.... ^ The advantage would be, these tools handle authorization.
Excellent! This blows writing SQL by hand out of the water. In 10 years, programming languages like Java, SQL, etc will be dead. I predict everyone will write in their native language (English, Chinese, etc) and a AI-based compiler will write the actual code for them.
said like a true swe
Neat! How difficult would it be to extend this to SQL like query languages like Hasura and PostgREST (via Supabase)? - https://hasura.io/docs/latest/api-reference/graphql-api/quer... - https://postgrest.org/en/stable/references/api/tables_views.... ^ The advantage would be, these tools handle authorization.
Do you have a specific use-case in mind? Would love to collaborate on adding it to the open-source library if you are open to it.
We were using OpenAI's codex model with a bunch of few shot examples for natural language queries over blockchain data coupled with a finetuned completions model for plot the results when we were working on makerdojo.io. Without the ability to fine tune Codex, we had to employ a bunch of techniques to pick the right set of examples to provide in the context to get good SQL. We have come very far since then and it has…
"So is enterprise conversational BI impossible in 2023? Will there be a few more years of academic papers and company AI hackathon projects before a solution can be deployed in production? We don’t think so." -- from the medium article. Want to put your attention to https://www.veezoo.com as well. A conversational self-service analytics solution that's been around since 2016 and productively deployed in fortune 500 c…
Neat! How difficult would it be to extend this to SQL like query languages like Hasura and PostgREST (via Supabase)? - https://hasura.io/docs/latest/api-reference/graphql-api/quer... - https://postgrest.org/en/stable/references/api/tables_views.... ^ The advantage would be, these tools handle authorization.
Interesting. So far we have been focused on allowing non-technical users to self-serve from enterprise data warehouses. It might be possible to enable this scenario with a simple addition to the NL-2-SQL engine to translate the generated SQL to API calls. If that does not work, a custom imeplementation of the NL-2-SQL module would def solve this. Do you have a specific use-case in mind? Would love to collaborate on a…
I’ve seen impressive demos with just LLM direct to SQL. Can’t wait to see what people build with these new tools.
Hi Dylan -- new GPT-4 class LLMs have gotten good at writing correct SQL, but while the SQL they generate almost always executes correctly they often write SQL that generates incorrect answers to the question. Some reasons for this can be the business context or definition is not in the table schema, or if the correct query is complex and requires multiple joins.
I’ve no doubt the AIs will reach human parity at some point (and therefore still make mistakes!) but I’d be terrified deploying any sort of one-shot text-to-results pipeline today.
"So is enterprise conversational BI impossible in 2023? Will there be a few more years of academic papers and company AI hackathon projects before a solution can be deployed in production? We don’t think so." -- from the medium article. Want to put your attention to https://www.veezoo.com as well. A conversational self-service analytics solution that's been around since 2016 and productively deployed in fortune 500 c…
How is this approach different from Nalir? https://dl.acm.org/doi/10.1145/2588555.2594519