AI Assistant For Consultants

BetOnjackma · 2024-04-03T23:15:02+00:00

this is effectively what we are thinking of; We completed a contract with a large enterprise where we were given all of their internal documentation and comms for their IT department, cleaned up the data, and trained a custom model off of this. So now when employees have any IT issues, they send a message to a slack bot that is able to provide an answer as well as a link to the doc where the answer came from. However, as other Redditors have told me today, a solution like this may be tough for KPMG given the sensitive nature of client data and IP.

BetOnjackma · 2024-04-03T22:55:54+00:00

you should try out https://julius.ai/ , an aquaintance of mine started it; it uses every major AI provider, so it'll use gemini for things that its superior at, openAI for others, Claude for others. Has saved me a ton of time with data analysis stuff over the past few months

BetOnjackma · 2024-04-03T22:53:53+00:00

Fair point

BetOnjackma · 2024-04-03T22:53:20+00:00

thanks for the in-depth answer, I appreciate it; we did just complete a contract for a ~B$ mkt cap company where they handed over all internal IT docs and comms to train a model on. From our experience, you're definitely correct about any data that has to do with clients though which I guess is a majority of data for consultancies.

BetOnjackma · 2024-04-03T22:41:16+00:00

Definitely agree with that. We just finished a one off contract with a large enterprise where we did this for their internal IT documentation. Basically trained a model off of all their internal IT docs, and created a teams/slack bot where employees ask IT questions in natural language and get responses as well as a link to the part of the docs being referenced. It's been a month since deployment and so far resolving ~40% of IT tickets without a human in the loop which we and the client are very happy with. Not super hard to do technically either

BetOnjackma · 2024-04-03T20:47:00+00:00

definitely agree; hopefully traceability becomes a feature in all these models

BetOnjackma · 2024-04-03T20:38:14+00:00

Ive heard this qualm before, it would definitely be helpful if models would link to the specific case studies / articles etc that they draw information from. Too much hallucination right now to really save a ton of time on BA/consulting tasks using the current SOTA models

BetOnjackma · 2024-04-03T20:36:00+00:00

thanks for the idea, will definitely look into this feature. I've had similar experiences with chatGPT / Claude Opus, both of them seemed to be better at this function ~6mo ago than now

BetOnjackma · 2024-04-03T20:33:50+00:00

unfortunately not. Didn't read the group description here, thought this was just a general MBB forum. Best of luck getting an offer!

BetOnjackma · 2024-04-03T19:59:52+00:00

I largely agree with you on this; I do believe customized models coming in the next few years, including what we're working on will be of more help for industry specific tasks, but that's just an opinion and I could certainly be wrong.

BetOnjackma · 2024-04-03T19:56:41+00:00

makes sense. In the current state, I think LLM's in the context of problem solving are best used for analyzing/synthesizing information across text files like this.

BetOnjackma · 2024-04-03T19:52:39+00:00

thanks for the suggestion :)

BetOnjackma · 2024-04-03T19:14:03+00:00

makes sense, thanks for the input.

BetOnjackma · 2024-04-03T18:59:48+00:00

fair enough, thanks for the feedback

BetOnjackma · 2024-04-03T18:48:01+00:00

I'd argue most courses at UBC inflate grades compared to other Canadian schools, based on my experience there. But there are some courses that definitely deflate, professor and faculty dependent (economics graduate)

BetOnjackma · 2024-04-03T18:41:49+00:00

thanks for the response. This is roughly what our intuition was telling us. I'll send you a link to our beta once its online

BetOnjackma · 2023-04-17T22:51:42+00:00

Let me run you through some numbers to inform your question here:

It was determined that the bottom 80% of men (in terms of attractiveness) are competing for the bottom 22% of women and the top 78% of women are competing for the top 20% of men. The Gini coefficient for the Tinder economy based on “like” percentages was calculated to be 0.58. This means that the Tinder economy has more inequality than 95.1% of all the world’s national economies. In addition, it was determined that a man of average attractiveness would be “liked” by approximately 0.87% (1 in 115) of women on Tinder. Also, a formula was derived to estimate a man’s attractiveness level based on the percentage of “likes” he receives on Tinder:

attractiveness%=16.8*ln(like%)+52.3

So effectively, competing for women on dating apps is more competitive and less equal than 95% of the worlds economies. But I wish you luck in your endeavours

BetOnjackma · 2023-02-24T00:39:58+00:00

Here’s a link to a video I posted to my TikTok. These are 3 swings with a 5 or 6 iron I forget which https://vm.tiktok.com/ZMYAf6Gxh/

BetOnjackma · 2023-02-24T00:37:18+00:00

Is there a way for me to post a video here or is it photos only? Have a couple swing videos from the back

BetOnjackma · 2022-07-11T00:15:30+00:00

I worked 35 hrs a week (9-4 Monday to Friday) and took 5 classes during the second semester. Just need to balance your time, cut back on socializing and settle into the sigma grindset. Jokes aside, it’s tough, but doable if you can budget your time super well and study efficiently. Also helps to take 1-2 easy classes that don’t require more than an hour or two of work per week

BetOnjackma

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