What are Large Language Models (LLMs)?

Рет қаралды 219,108

Күн бұрын

Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.
Resources:
Try out Bard → goo.gle/420KQhw
What is a Transformer? → goo.gle/3VABlDw
Subscribe to Google Developers → goo.gle/developers
#MachineLearning #MLmodels #LLMs #GenerativeAI

Пікірлер: 94

@user-pd2dy9ue6z Жыл бұрын

Thanks for diving in! What a great explanation.

@lgmuk Жыл бұрын

Very good video! These llms are much clearer now!

@luis96xd Жыл бұрын

Wow, amazing video, everything was well explained! I really learn a lot from your videos, thank you so much 🤗🤗

@Maksimgordeev-bj4nt Ай бұрын

Your insights are like gems that light up every conversation.

@StephSancia 26 күн бұрын

I found more understanding with this video vs one 12 times longer due to the extremely positively beneficial way this was presented in an extremely easy to learn visual manner so thank you very much indeed ❤️

@oryanol Жыл бұрын

I use bard everyday and it helped my workflow increase significantly

@VaibhavPatil-rx7pc 9 ай бұрын

Excellent detailed information, Highly recommend everyone

@RaviKrishnaSrivastava 10 ай бұрын

Very good video about LLM and prompt engineering

@spinnerlive 5 ай бұрын

The first AI transformer model, known as "Transformer," was introduced by researchers at Google in the paper titled "Attention is All You Need," published by Vaswani et al. in 2017.

@christianfaust5141 11 ай бұрын

Excellent intuitive video about prompt engineering for starters, thank you.

@e-genieclimatique Жыл бұрын

In brief (GPT4): In this video, the speakers discuss the power of Large Language Models (LLMs) in understanding and generating human language. LLMs are based on the transformer architecture invented by Google and are trained on massive text datasets. Their ability to be used for a variety of tasks, such as chat, copywriting, translation, summarization, and code generation, makes them incredibly powerful and efficient. LLMs can be utilized without being a machine learning expert, as they function like sophisticated autocomplete systems. Users can input text and receive output text based on the patterns and language learned by the LLM. The input text is called a prompt, and prompt design is crucial for getting the desired output from the LLM. There are two main approaches for prompt design: zero-shot learning, which involves using a single command, and few-shot learning, which includes providing examples. However, there's no optimal way to write model prompts since the results are highly dependent on the underlying model, and small changes in wording or word order can have a significant impact. Users can try out LLMs like Google Bard and experiment with different prompt structures and formats to find what works best for their specific use case.

@kazirabbany4420 10 ай бұрын

You are not using BARD? :P

@reasonerenlightened2456 6 ай бұрын

GPT-4 is fake intelligence. For example, It struggles with fingers, and with drinking beer. LLM are a dead-end for AGI because they do not [understand]! the implications of their outputs! Also, GPT-4 is designed by the Wealthy to serve their needs!

@malakbelabdi5066 7 ай бұрын

Very simple and rich video Thank you!

@nicolenlama 7 ай бұрын

Thanks for this overview!

@hesamarki7256 8 ай бұрын

Thanks for your explanations.

@cassianocominetti7784 5 ай бұрын

Amazing video gilrs! Thank you!

@vgreddysaragada 10 ай бұрын

well explained..Thank you so much

@Eltopshottah Жыл бұрын

Can't wait to see what Google has up their sleeves with A.I

@marcellemagnima1047 4 ай бұрын

So clearly,thank you very much

@artus198 Жыл бұрын

Pretty sophisticated stuff is going on with AI. How is PALM different to BARD ?

@JayMaverick Жыл бұрын

Nailed the "silence, brand" vibe.

@fear_less_2020 9 ай бұрын

Really helpful. Thank you for explaining it so well!

@whatsscience5649 3 ай бұрын

Thank you! this has helped me learn more about this

@GoogleDevelopers 3 ай бұрын

It's our pleasure! Glad you enjoyed the video 😎

@mizanursbestreview 9 ай бұрын

I'm really with a question. So, waiting for the next video to learn, what do you think isn't it a hard job?

@amparoconsuelo9451 8 ай бұрын

Can a subsequent SFT and RTHF with different, additional or lesser contents change the character, improve, or degrade a GPT model?

@monkeydluffy2063 Жыл бұрын

"and definitely let us know what you are building" being google, I'm pretty sure you already know that

@ncroc Жыл бұрын

I still don't understand how do you go from a language model which predicts the next word to a question answering system.

@MattiaCeccopieri Жыл бұрын

Same

@augusto256 Жыл бұрын

Because it's impossible to predict undefined input.

@zvxcvxcz Жыл бұрын

They don't per se. It just happens to be that in common text an answer frequently follows a question, so the next predicted words happen to be those starting the answer. They never actually leave next word prediction.

@ncroc Жыл бұрын

@@zvxcvxcz I see but those systems seem to form an answer using the related documents. Let's say neural nets somehow determine which paragraphs are similar to the question asked. Do neural nets also form the answer text or there is some other algorithm that forms the answer text?

@erikm9768 Жыл бұрын

ChatGPT is the elephant in the room. I didnt even know you can talk to Google Bard at the moment

@sirbughunter Жыл бұрын

Great video. You guys are very sympathetic and explained the concept of an LLM in a simple but understandable way!

@VIDEOSANDREEL Жыл бұрын

Thanks ❤

@martinseal1987 Жыл бұрын

Like Google bard ...................

@DiyTechHubOfficial 6 ай бұрын

Thanks for shring

@jeanpeuplu3862 7 ай бұрын

Is LLM part of NLP? Is an LLM always an NLP model? Or can an LLM be another kind of model? Also, BERT is Transformer but not an LLM, right? Transformer can be LLM or not, right?

@GoogleDevelopers Жыл бұрын

Subscribe and stay tuned for the next episode! → goo.gle/developers

@mizanursbestreview 9 ай бұрын

❤❤ Dear Developers, It's Okay ❤❤

@reasonerenlightened2456 6 ай бұрын

@@mizanursbestreview Deep Learning and GPT-4 are fake intelligence. For example, It struggles with fingers, and with drinking beer. LLM are a dead-end for AGI because they do not [understand]! the implications of their outputs! Also, GPT-4 is designed by the Wealthy to serve their needs! ------ Douglas Lenat wrestled with creating the true AI . AI lost a giant. He was not correct about some AI-things but he opened my mind about great many more things about AI. RIP Douglas Lenat, 1950-2023

@ingenieroluisfer Жыл бұрын

🇨🇴👋🙋‍♂👍🤝 Saludos desde la ciudad de Bogotá D.C.

@pleban Жыл бұрын

Bard isn’t currently supported in your country. Stay tuned! - that's all about G approach

@MrJekyllDrHyde1 9 ай бұрын

When i finally I get GenAIs to respond with what i wanted (often this will take multiple prompts, corrections), i ask it a simple question: > "Please give the prompt which would have generated the last output"

@danqiu6413 9 ай бұрын

Watson developed by IBM more than 10 years was very good in language understanding. What model was behind Watson?

@trendthatneverend4812 3 ай бұрын

According to the knowledge available on public internet, watson is not built on a particular ML mdel. A bunch of algorithm and technologies is used to implement it. For more reference you can visit given link.

@banzai316 Жыл бұрын

Would be nice to have diffusers models that can run on mobile. Diffusers is so powerful

@ravishmahajan9314 5 ай бұрын

France is to Paris , Japan is to .......???? So you mean to say there is a sentence in word corpus that is very close to above sentence. So my question is i doubt that above sentence is there in word corpus then how will it predict Tokyo. Is there any other technique also used?

@tslee_ Жыл бұрын

Waiting to see Bard Open-sourced😎

@jerryyuan3958 Жыл бұрын

nice explaination

@imranhossain3504 11 ай бұрын

I'm with you

@deeplearningpartnership Жыл бұрын

Cool.

@USONOFAV Жыл бұрын

Can you open source your models?

@personofsomething6205 11 ай бұрын

lol

@charlene6306 11 ай бұрын

I still can’t access Bard. Something about permission setting blah blah

@Nerd2merde 5 ай бұрын

Thanks, great infos, and very friendly girls. Take care

@ohaleceiffel 2 ай бұрын

Looks like a dead heat in a zeppelin race 👀

@jeffg4686 2 ай бұрын

what is a mud kiln?

@zvxcvxcz Жыл бұрын

Please stop saying they understand. They don't, and saying it over and over are giving normal people a very warped view of what these models are capable of. And yes, the bigger they get and the more info they're fed, the tougher it becomes to demonstrate that they don't understand because the outputs between the traines model and someone with actual understanding become closer together, but it really is actually the case that these models as they work today most certainly do not understand anything.

@deepfuchsia7204 5 ай бұрын

I like that the video starts with an insult.

@matinale Жыл бұрын

The words chat and conversation imply spoken communication. However, neither Google Bard nor OpenAI chat GPT are capable of speaking or understanding spoken words. It's strictly text, which gets tedious pretty quickly. These reviews never seem to reflect that. Plus, my view so far is that it's like the Wizard of Oz: just someone behind the curtain trying madly to keep up the illusion.

@josephvanname3377 Жыл бұрын

Unless you have been living under a rock, you would know about a thing called reversible computation.

@MaitraRoy 11 ай бұрын

The output of LLM is always probabilistic and never deterministic.

@flogzer0 7 ай бұрын

So deep

@CarlosPerez-hu7ly 2 күн бұрын

it seams i've been living under a rock jhajhajha ::/

@jopadjr 9 ай бұрын

2.2k+...Thanks

@finnchristianarctander4414 8 ай бұрын

🎯 Key Takeaways for quick navigation: 00:00 🤖 Introduction to Large Language Models (LLMs) 01:26 🧠 How LLMs Work 03:19 📝 Prompt Design for LLMs 04:43 🤯 Challenges in Writing Model Prompts 05:13 🌟 Conclusion and Applications Made with HARPA AI

@a0100888 7 ай бұрын

Chapter: fuchsia learning

@sensorintelegence3480 Жыл бұрын

Advance AI

@chetanrawatji 3 ай бұрын

❤❤

@amparoconsuelo9451 8 ай бұрын

Where is the math? Where is the compilable code? How much is a language model? What would be the hardware requirements?

@PabloPazosGutierrez Жыл бұрын

Everyone heard about this because of ChatGPT which they try to not mention because it's a Microsoft thing.

@zvxcvxcz Жыл бұрын

Microsoft has licensed use, but it is not a Microsoft thing, it is from OpenAI.

@Ani-rw4ln 11 ай бұрын

Entrepreneurship is dirty bro you gotta do anything to just sustain. No other option

@learnerboy2247 5 ай бұрын

Google had created the first Ai chat bot 2 years earlier than open ai... But launch it because of its harmful effect on people

@alexleo4863 4 ай бұрын

Google developed most of base tech that were later used by OpenAI, tech like from word embedding algorithms to Transformer architecture, and they gave them away for free, but Google are not arrogant enough to use the word "Open";😅

@theratscratch 7 ай бұрын

yeah guys like google bard

@curtishill1993 Жыл бұрын

What you are saying is AlG recording of your digital alpha rhythm .

@pubservices2649 6 ай бұрын

I need LLM

@curtishill1993 Жыл бұрын

You are now AlG artificial intelligence video chat

@AlbanBytyqi 11 ай бұрын

In my experience Bard has been totally unreliable. Ask bard how many about football results and it gets it wrong.

@curtishill1993 Жыл бұрын

AIG is in effect your creator of matrix Pandora's box 🎁

@aaronjiang8964 Жыл бұрын

Mention ChatGPT without mentioning ChatGPT

@user-sk9wu7nf8c 4 ай бұрын

Deneme yorum

@qinlingzhou8815 11 ай бұрын

Wow. LLM is a black box you can not do it. We can train it for all tasks. What a waste! :( One can get a pre-trained free model to build own vector DB with own data and search them.