Видео

Really interesting topic, not the best episode. Unlikely most of the time, I don't feel like I learned a lot.

I was analyzing your RUclips channel. Your video content is very nice. Your video does not have good rank tag and the video does not have good SEO. For this reason, your video is not being ranked and viewed. Below we found your channel issue: * Your video doesn't have a good Top Ranking Hashtags, Keywords with the no right Meta tag * Your video doesn't have good SEO & Optimize.

:) this is great!

Start with why! Timeless advice, indeed

just bought the book, really great summarization of LLMs challenges, thank you for doing this

I saw Linus lees talk on the AI Engineer summit about embeddings, the demo was very cool, I just came across this video as the AI Engineer World fare is going on, this was awesome too.

music background was too high in the beginning

Fascinating stuff

This is really interesting :) I am currently studying Data Science and wanted to ask with which methods we can grant/deny permission to certain (internal business) data based on the level of the employee, in an LLM-conversational application? Can we use guardrails for this as well? Thank you a lot in advance for your quick answer!

Is that Ryan Gosling ❤

Hi guys I applied to join your slack team 2 days back can you please add me in?

def correct.. there's body language, tone, etc... llm is just too low bandwidth

Demetrios, my man, I loved the format. Now I'm off to read the post 😅

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😮😮

Very very helpful thanks 🙏

may you share link to this data set?

Like for the intro song

Thanks for the overview! Michelangelo seems like quite the feat of engineering. Major kudos to the engineers who designed and built this out. Would be awesome to get more insight into how they calculated the trade-off between costs associated with the long-term development/maintenance/management of a custom system like this versus using something off the shelf and fully managed like Sagemaker/VertexAI/etc. Obviously you are going to be paying a premium for something like Sagemaker, but I can't help but be skeptical that going with a custom approach like this would pay-off in the long term considering the significant engineering effort that must go into ongoing development and refinement, especially when considering the immense complexity of a system like this. Maybe I'm just not thinking big enough haha

This sounds like a proper LLM optimization software. Langchain is just something that is stitched together in a very brittle way... Whereas DSP looks to ground itself on very concrete foundations!

Any related GitHub links to this? And any thoughts on if use of the python vLLM library for paged attention would be able to get to place of 1M requests a day for 15/48$

Loved this!!

Where can I find Linus' previous talk from a year ago? Would you post a link, please? Stop looking. I found it: ruclips.net/video/rd-J3hmycQs/видео.htmlsi=g6uWd96bxXuqgWXF

Very insightful!!

I think for the text you meant to use a BERT model rather than a CNN based model

Great presentation!

Brilliant talk

Are "question", "answer", "long_document" and "summary" variables, and if so, where are they declared? 5:17 What operation does this symbol "->" perform?

For a middle-aged guy halfway through a CS/DS undergrad degree with hopes of entering the ML career field, I understood less than a third of what was being discussed. At the same time, I now have 30 browser tabs open to research technologies I didn't know existed 45 minutes ago. Thanks for the great content and keep up the good fight.

This is a great presentation which explains the hallucination landscape really well. Is there a chance to get access to the slides particularly the "Hallucination Overview" one which outlines the causes, detection and mitigation ? Thanks

Finally someone talks about juypyter. It sucks and I do not think it is UI friendly as they advertise it

Impressive presentation

My prompts are my special Saaaaaaauce

Join us in person at our fist conference! June 25th 2024 in San Franscisco www.aiqualityconference.com/

Join us in person at our fist conference! June 25th 2024 in San Franscisco www.aiqualityconference.com/

Join us in person at our fist conference! June 25th 2024 in San Franscisco www.aiqualityconference.com/

Sum of user scores for CFI2I and SWINGI2I should be at the nominator, please correct me if I am wrong.

A minor correction: Skipgram already uses Negative Sampling @MLOps

I love the MLOps community channel, but there's so much fluff at the start of each video. I literally skip through the first 5 minutes because it's a waste of time. Wish they would tighten up the format, especially at the beginning of each video.

Great podcast. Planning to read the book. 'Trust but verify' is not originally a Reagan quote though.

can we have the git repo for this?

is there a paper or a replication package available?

Would have loved information about actually Scaling and Deploying LLMs in production...

Join us at our first in-person conference on June 25 all about AI Quality: www.aiqualityconference.com/

Join us at our first in-person conference on June 25 all about AI Quality: www.aiqualityconference.com/

Join us at our first in-person conference on June 25 all about AI Quality: www.aiqualityconference.com/

Join us at our first in-person conference on June 25 all about AI Quality: www.aiqualityconference.com/

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Great talk thanks Louis

What a horrible unethical response on the ethics of training data