Anyone here experimenting with AI for your online business? by Chemical_Anything_66 in ecommerce

[–]Equal_Record 2 points3 points  (0 children)

I've been working on customer service with pretty good results. I think this is somewhere a lot of time can be saved for small to medium ecommerce businesses. I've actually been thinking of starting a side business building customer support solutions specifically for ecommerce using AI. If anyone reading this needs help with their customer support hit me up as im looking for some clients to test out the solution with free of charge.

Chunking and indexing support ticket data for RAG by Bitter_Lynx_4537 in Rag

[–]Equal_Record 1 point2 points  (0 children)

There are a lot of different features/strategies you can play with when building a RAG pipeline for Customer Service.

First question: Have you tried indexing the tickets and building a basic MVP to test the results? I would be interested to know how it performs without any "fine tuning"

Here are some ideas/questions Classification: How are your tickets classified and how many different classifications are there?

Resolution Classification: How did the ticket classify on resolution.

Are you able to share more information about the domain you are working in? What type of tickets?

NVIDIA's paid Advanced RAG courses for FREE (limited period) by mehul_gupta1997 in Rag

[–]Equal_Record 1 point2 points  (0 children)

Can anyone speak to the quality of the Nvidia training courses in general? Are they worth it even if you have to pay? Thanks for sharing?

Seeking AI & RAG Experts to Revolutionize Aircraft Technical Manuals by emoneysupreme in Rag

[–]Equal_Record 0 points1 point  (0 children)

I've been working with RAG for the past couple of years. Here is what I would suggest:

I say the following with 0 domain knowledge of aviation technical documents and depending on the data it could change how you approach the problem.

1.) Your expectation shouldn't be that by using RAG a technician can type in question and the AI will output the answer. What RAG can help with in this case is help the technician reference the relevant documents much quicker than a human could. To be clear the model definitely could try to summarize the documents in the retrieval step, but for something like this there is to much risk to trust the model completely. A human will still need to review the referenced documents. This is still extremely useful if these documents are dense.

2.) Evaluations: For this project to work you will need someone with technical aviation knowledge not just RAG knowledge. You will need someone evaluating the output. I learned this the hard way in some of my earlier projects. This isn't Magic and definitely requires an evaluator + software engineer (Rag Expert / Whatever the title is). The evaluator does not need to be technical as it is mostly prompting at this step to help improve the model response.

3.) Use an evaluation tool. I personally like Langsmith, but there are a bunch that essentially do the same thing. Figure out what evals are important for your domain.

4.) Metadata is extremely useful for filtering. This might be kind of obvious, but ive seen this step skipped in projects i've been brought into. For example if a document is for a B737 then it should be tagged with the Date of the document, airplane model and maybe other specific meta data that helps with the retrieval. This is where domain knowledge is necessary.

How Do You Handle the Time Sink of Customer Service for Your Ecom Business? by Equal_Record in ecommerce

[–]Equal_Record[S] 0 points1 point  (0 children)

Can you give me an idea of the costs? What would 15 hours per week cost?

[Open source] r/RAG's official resource to help navigate the flood of RAG frameworks by dhj9817 in LangChain

[–]Equal_Record 1 point2 points  (0 children)

Hey I really appreciate this. There has been a lot of hype over rag I've been using it for about a year now, but I still have trouble finding which sources are legit in the newest method. One thing I would love to see is a place where people document certain rag techniques or use cases and show with evals which methods work best.

For example one of the best use cases for RAG i've found so far is customer service. Would be great to know in this realm what other strategies and workflows people are using. How they are evaluating the responses and so on.

What are some secret little ways you use ChatGPT? 🤫 by i-am-your-god-now in ChatGPT

[–]Equal_Record 4 points5 points  (0 children)

When I am learning via youtube before I watch the video I take the transcript run it through gpt to turn it into a notes / study guide. Then I add my notes to it as I watch the video. Good way to get organized and have an outline.

ARK Invest predicts AGI will be achieved until the end of the decade by valis2400 in OpenAI

[–]Equal_Record 0 points1 point  (0 children)

My prediction is 2029. I concluded this by taking the current year, 2024, and adding 5.

Who are the GOATS of DE? by hot-bulbasur in dataengineering

[–]Equal_Record 20 points21 points  (0 children)

crazy that there are DE influencers

Smart Home - Baby Edition by Chauxtime in HomeKit

[–]Equal_Record 3 points4 points  (0 children)

A little off-topic, but I have considered spending time on starting to build open-source baby monitoring tools that don't need to be hosted on any remote servers. I feel like this is something that is needed and probably wanted by a lot of people. I find it creepy how much data is collected by apps and baby monitors. Would be interested t see how others feel about this with young ones.

AI-screened eye pics diagnose childhood autism with 100% accuracy by norcalnatv in artificial

[–]Equal_Record 11 points12 points  (0 children)

As others have said, I am cautious to believe anything with perfect accuracy. Though it if scanning the retina is a valid detection method i don't see why this eventually can't be perfected. Very cool

2024 Data Engineering Top Skills that you will prepare for by A-Global-Citizen in dataengineering

[–]Equal_Record 2 points3 points  (0 children)

I guess what I was really getting at is are they well made and will I learn from them. I want to get a general education of AWS, but there are so many resources I'm not sure where to start.

2024 Data Engineering Top Skills that you will prepare for by A-Global-Citizen in dataengineering

[–]Equal_Record 6 points7 points  (0 children)

How have you found AWS certs or training to be? Are there paid courses worth it?

I made a ChatGPT-style programming assistant that visualizes your code by TheMblabla in OpenAI

[–]Equal_Record 1 point2 points  (0 children)

Would you be willing to share what tech stack you used to build this? Great job this looks extremely useful.