Відео

The problem with cot is that it requires the human user to know how to solve that sort of problem and if they knew that, it'd be faster for them to solve the problem themselves. Also it just requires more work from the user.

The claimed advantage that discrete prompt can be understood by humans is questionable if the prompt looks like "ouslyicals downright certainly consistently" (sic) as in the given example.

are you a robot? is it ai generated?

Background music is annoying and distracting

nothing new, She didnt even bother to run a test herself lol waste of time.

is that a robot speaking?

hi,, can i get your mailid , i want to run the github repository of it.

I would just read a blog instead of a shitty video like this.

What no human?

In the last slides, the first two takeaways contradict with each other. That is, you take an LLM, you get FIM for free, but you also mentioned fine-tuning an existing LM on FIM is less effective than pretraining a LM. It is confusing

UA-cam will add subtitles if we need them. No need to add them to the videos - they are distracting

is the host also computer generated using AI...!!🤔

Bonjour, comment on peu l'utiliser aujourd'hui ? faut il l'acheter ou le télécharger ? pour ajouté des voix a nous ?

Noice 👍

Thanks for the summary. Interesting how much high quality data matters. But they did classic fune-tuning without LoRA? Obviously they have enough compute power to train the whole model but it would be interesting to know benchmarks for a LoRA trained model. To my knowledge, LoRA can even improve fine-tuning performance (?)

Your explanation of paper is always clear and easy to follow.

If you want to be taken seriously, get rid of the fake person. It is the most comon used.

Great videos! I have question regarding the data, did they actually added the chain of thoughts to all of the training data, or only some of them?

Why would you force subtitles?

great insights. thanks

Did anyone find the person narrating the content to be AI generated, or was that just me perception?

I want to prompt tune my azure openai gpt35 turbo model with my data. Can you please guide?

Why hasn’t ChatGPT use this?

That is a good thing imho, meaning wow well done! Share details of how you did the lip sync, etc. Nice agent too. Love the style and the coverage of this most important prompt based sidecar student model to a teacher model and presentation of context learning. I've been really using it and RLHF lately and can't believe how performant it is finding solutions to a well described problem. Kudos and keep up great coverage and excellent analysis on making it easier for others. --Much appreciated!! 🍮 yum

That uncanny valley consistency. So weird.

Great content, indeed will be interesting to see which new players will succeed

How can we learn about scaling challenges with NLP?

Truly amazing. But it seems to be the same as OpenAI ChatGPT 4.0. Released yesterday.

Great job Nikola!

What kinds of tasks encoder-decoder LLMs like Flan-T5 can't do well while decoder-only LLMs like PaLM or GPT3 can do well?

This introduction is too basic and its content can be easily found online. Look forward to more in-depth coverage on NLP topics.

the quality of the content is quite high. it should be highly recommended by UA-cam.

Quality content! Please keep up this great work!

CoT prompting seems to be a logical solution to getting the LLM to do what you want it to do. What are the limitations of CoT prompting?

Siri is very poor at recognize non-native speakers. Are there any recent models which can recognize accent and understand speakers correctly?

VALL-E still needs 3 second sample. Why it is considered as zero-shot?

B should be read as Billion not as B.

oh no, you finally became an AI yourself. 🙂 I tested with a few English-Chinese translation base on this method, it works pretty well. The hard part is having a large dababase with related translation examples. But I guess if I am translating a novel, I can only do 1/10 and let AI mimic my style and finish the work.

this video looks AI generated

Good content, can I know what app is for video avatar?

Thanks so much. Really helped me!

She's a robot, right? She's good. It was her occasionally unnatural inflection that tipped me off.

Is this person AI generated?

Ha ! looks like Ai already took the “prompt engineer” s job!😂

Underrated stuff

where do I access this

what is the largest size you've seen with current models e.g. A100?

Thanks for sharing--very well explained!

Omg, that's what I needed. I got degree in applied linguistics and would like to study nlp. But I don't know where to start. It would be great if you could recommend resources for this, especially for Algebra and math stuff. As I got from job vacancies I will also need to. learn Machine Learning right? I know it's gonna be a long way but I really want to take it

When you say fusion of previous hidden states, with current vector, what do you mean by that, add them, multiply them etc?