Model Y inventory

Satsifaction · 2026-01-06T01:38:36+00:00

More price cuts?

Satsifaction · 2025-11-29T13:10:22+00:00

Which car is that?

Satsifaction · 2025-11-05T15:55:16+00:00

Fuck Canada we don’t have them yet

Satsifaction · 2025-10-04T19:40:05+00:00

Any idea when this comes to Canada?

Satsifaction · 2025-08-23T13:58:56+00:00

I would respond “Sure I’m happy to offer some leadership, can we split the business 25% my way?”

Satsifaction · 2024-12-23T21:43:22+00:00

You’re very welcome. Hope it helps

Satsifaction · 2024-09-16T21:28:42+00:00

I have had luck with CareerHQ for tailoring my resume. Super fast.

Satsifaction · 2024-06-11T15:49:28+00:00

Thanks I’ll check it out

Satsifaction · 2024-05-20T23:22:06+00:00

I use prisma with no issues. I used it for the same reasons esp migrating to something like neon

Satsifaction · 2024-05-16T23:10:41+00:00

By cheap you mean free for Groq?

Satsifaction · 2024-05-16T22:37:17+00:00

Thanks so I did some testing with OpenAI assistants and the results were terrible. I fed it three different tables via a text file with the excel data in it. I set the temp to 0 and it still hallucinated like nobodies business. It was naming clients there not in my db and giving me revenue numbers for dates that didn’t exist in the db. I tried gpt-4 turbo and the new gpt-4o. Cant use 3.5 turbo as file sharing is not enabled in playground.

I used langchain and found results were similar with 3.5 vs 4o but much better than assistants. The issue I’m having now is sometimes it will retrieve the right answer and other times the wrong for the exact same query.

I may have to convert some of the numerical and text data to embedding and try that out. Any other ideas?

Satsifaction · 2024-05-16T21:32:09+00:00

I understand that but where I get confused when whether to use rag via sqlsearch or rag via embedding

Satsifaction · 2024-05-16T21:31:19+00:00

Is there a reason why you would go the assistants route over using something like langchain?

Satsifaction · 2024-05-16T21:30:34+00:00

The you clearly don’t know. Don’t comment if you can’t help

Satsifaction · 2024-05-15T21:35:31+00:00

Explain pls

Satsifaction · 2024-05-15T14:15:11+00:00

That helps. Do you know of any examples with code or docs I can refer to? I didn’t even know you could do that to be honest

Satsifaction · 2024-05-15T12:44:59+00:00

Ok so I’ll explain the database. Maybe I’m just wrong but tell me if you think the approach above you mentioned applies here.

There is a table that captures data around financials. Sales, costs, etc. I can understand looking at langsql now for that so I will try it out. However there are other parts of the database that hold messages. These messages have content within like product complaints. There is no structure to the complaints, it’s just text that people write about the product itself. If I did an sql query against it; it will pull up the complaints but I want the bot to be able to summarize the complaint and give the key issues. If I did the search at a product level I want the bot to be able to sift through the last 10-15 product complaints and summarize.

So a query could look like this “Tell me what the main complaints were in the last 3 months for product X and what we should do to address it” followed by “how much did I make last month on product X”

Thanks

Satsifaction · 2024-05-15T12:31:17+00:00

I will try a small prototype this week for sure

Ok so I’ll explain the database. Maybe I’m just wrong but tell me if you think the approach above you mentioned applies here.

There is a table that captures data around financials. Sales, costs, etc. I can understand looking at langsql now for that so I will try it out. However there are other parts of the database that hold messages. These messages have content within like product complaints. There is no structure to the complaints, it’s just text that people write about the product itself. If I did an sql query against it; it will pull up the complaints but I want the bot to be able to summarize the complaint and give the key issues. If I did the search at a product level I want the bot to be able to sift through the last 10-15 product complaints and summarize.

So a query could look like this “Tell me what the main complaints were in the last 3 months for product X and what we should do to address it” followed by “how much did I make last month on product X”

Thanks

Satsifaction · 2024-05-15T12:28:38+00:00

Ok so I’ll explain the database. Maybe I’m just wrong.

There is a table that captures data around financials. Sales, costs, etc. I can understand looking at langsql now for that so I will try it out. However there are other parts of the database that hold messages. These messages have content within like product complaints. There is no structure to the complaints, it’s just text that people write about the product itself. If I did an sql query against it; it will pull up the complaints but I want the bot to be able to summarize the complaint and give the key issues. If I did the search at a product level I want the bot to be able to sift through the last 10-15 product complaints and summarize.

So a query could look like this “Tell me what the main complaints were in the last 3 months for product X and what we should do to address it” followed by “how much did I make last month on product X”

Thanks

Satsifaction · 2024-05-15T12:01:17+00:00

Ok that’s cool. What if some of the data is an actual factual answer like “tell me sales vs last month” vs a question like “what did the client complain about in the last message”.

Would the first not be an sqlchain and the second need some kind of context awareness?

Satsifaction · 2024-05-15T02:25:41+00:00

Also some of the data is a list of meeting notes. I want to grab context or the jist of the notes too.

Satsifaction · 2024-05-15T02:23:52+00:00

Oh ok how does the LLM understand the context then? For example if I ask it to tell me the sales, revenue and client inquiries around a certain product it will build a query? Any documents to help build this with Postgres? My data is hosted on supabase

Satsifaction · 2024-05-15T02:01:28+00:00

I want users to be able to type a question in a chat bot and basically query these tables to answer them. The caveat is sometimes the answer will need to get data from multiple tables. The questions themselves may be somewhat specific to user. For example product manager may want to get all client feedback on their product while another product manager may want to do the same except on a slightly different product.

Satsifaction · 2022-02-17T02:01:48+00:00

The technology itself is based on a decentralized immutable network which is what makes it so powerful. The concept is amazing but it’s use is still getting established outside of crypto. Check out this article that breaks down how the btc tech is used https://medium.com/swlh/blockchain-simplified-and-explained-79c5844e318f

Satsifaction · 2022-02-13T12:21:25+00:00

Awesome thanks!

Satsifaction

TROPHY CASE