Apoorv Vishnoi’s Post

Name: Apoorv Vishnoi on LinkedIn: #genai #rapidfirewithaileaders #analyticsvidhya #dataclassification… | 12 comments
Uploaded: 2024-07-11T11:29:47.780Z
Duration: 4 min 8 s
Channel: Apoorv Vishnoi

Apoorv Vishnoi

Head - Training Vertical | Expert in Generative AI

5mo

It's been a while since our last Rapid Fire, so we've doubled the fun by featuring two AI leaders this time. Featuring Joshua Starmer PhD, Founder and CEO of StatQuest and Susan Walsh, Founder of The Classification Guru Ltd, this session of Analytics Vidhya's Rapid Fire with AI Leaders is surely going to bring you double the insights! Join us for a lively conversation where we get rapid answers on topics such as: - Uses of LLMs and AI - Challenges in Data Cleaning - Transformers, Claude 3.5 sonnet, and more. 🎬 Watch the video and share your thoughts! #GenAI #RapidFireWithAILeaders #AnalyticsVidhya #DataClassification #StatQuest #LLMs #BAM

12 Comments

Transcript

A rapid fire with AI leaders. Hooray, Hooray. Hello and welcome everyone. In this round of rapid fire with AI leaders, we are taking things up a notch. We have not one, but two leaders from the field of AI . I'm apoorv from analytics Vidhya and joining us today are Susan Walsh and Josh Starmer. Susan is the founder of the Classification Guru and Joshua is the founder and CEO of Statquest. So welcome, Joshua. Welcome, Susan. Really appreciate you doing this. Hello. So guys, the roots of the sessions are pretty simple. I'm going to ask you questions related to Gen AI and your general experience and you have to be really quick and candid with the responses. So guys we are going to have three rounds in this session and our very first round is faster than LLM. Good to go, good to go. All right, so we will start with Joshua. Joshua, what is that one AI technology that you find is overhyped? LLMs OK, you went right for the big one. That's right. Susan. Name one biggest mistake that enterprises make while working with data. They don't clean their data, right? Absolutely. Coming back to Josh. What is the best use of large language model that you have experienced? My favorite use is using it to cluster documents. I think that's one of the best things you can do. Interesting. So coming to Susan, if you could automate one aspect of your life with AI, what would that be? Cooking. Joshua, if you had to rename Transformers, what would you rename them? I guess I'd call them like attention machines or something like that, right? They do get confused all the time with other Transformers, right? Yeah, exactly. Yeah. So, Susan if you develop an LLM that specializes on data cleaning, what would you call it? Cleanification. All right guys, that was the end of the first round. This is the second round of our session. This is called this or that. And this one, rather than alternatively, we'll go one by one. And Susan, we can start with you in this talk. OK, OK, so the first one is missing data or wrong data, wrong data. Cleaning structure data or text data. Structured data, Synthetic data from bootstrapping or synthetic data from generative AI. BootStrapping. BootStrapping. Great. Let's see if Josh can beat you in this round. All right, Josh. PiTorch. Okay, chatGPT-40, or Claude 3.5 Fine-tuning or prompt engineering. Tough ohh, fine tuning. Alright, great. I think you also did quite well in your own great job guys. We are moving on to our last round. It's called Never have I ever. Unlike the other round in this round, both of you can go at the same time, so let's start with the very first one. Never have I ever felt a bit intimidated by generative AI. Always. OK, the next one is never have I ever lost data because I forgot to back it up. Always. The next one is never have I ever doubted the accuracy of my analysis. Always. I've always. Excuse me, OK. Never have I ever trusted my instincts over data analysis. Always. I I have never trusted my instincts over data analysis. Never have I ever debugged the piece of code for hours only to find it was a simple typos of all always. So who do you think has good more rapid points? Obviously me and congratulations both of you. It is a tie you both scored eight points. So thank you guys for doing this. Really enjoyed this rapid fire.

Susan Walsh

The Classification Guru, fixer of dirty data ★ Samification - self-service supplier normalisation ★ Spend data classification, normalisation, & taxonomies ★ Between the Spreadsheets ★ Creator of COAT ★ TEDx ★ Speaker ★

5mo

This was so much fun! And it was great to meet Joshua Starmer PhD this man has some mad ukelele skills amongst many other!

4 Reactions

The Classification Guru Ltd

5mo

Hip, hip, hooray!

Deepti Nagpal

Instructional Designer

5mo

This is so cool

2 Reactions

Anshuman Das

5mo

This is amazing apoorv sir

2 Reactions

Sakshi Raheja

Aspiring Product Manager | Data-Driven Decision Maker | Strategy

5mo

Team BAM! :)

3 Reactions

Laura Elizabeth Quelch

❕ Hypnotherapist in Training ❕ - qualify in July 2025. Message me for a FREE session, and to join the waitlist ✨ Mentor & Multifaceted Magical Marketer - Marketing Mage, lqd ✨

5mo

Whoop!

Joshua Starmer PhD

Founder and CEO at StatQuest with Josh Starmer

5mo

This was fun!

3 Reactions

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