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Зерттеулер1 мин

Were RNNs All We Needed? (Paper Explained)

hello today we're going to look at where rnn's all we needed this is a collaboration of Mila and Borealis Ai and puts into question a couple of these modern takes on kind of RNN style parallela trainable models like S4 and Mamba and things like this so they they kind of question…

YouTube — Yannic Kilcher
Зерттеулер1 мин

Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)

hello there today we're going to look at safety alignment should be made more than just a few tokens Deep by Anonymous authors so this is a paper that had been submitted as far as I can tell to eclair is currently on open review and has already gotten reviews and is one of the…

YouTube — Yannic Kilcher
Зерттеулер1 мин

Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)

hello there today we're looking at the paper bite lat and Transformer patches scale better than tokens this paper in a sense does away with classic fixed vocabulary based tokenization and in doing so develops a new architecture called The Bite latent Transformer and in their…

YouTube — Yannic Kilcher
Зерттеулер1 мин

On the Biology of a Large Language Model (Part 1)

Hello. Today we're taking a look at on the biology of a large language model which is a sort of paper published by anthropic on their kind of series on transformer circuits where they investigate what's going on inside of transformer language models and sort of how do they come…

YouTube — Yannic Kilcher
Зерттеулер1 мин

On the Biology of a Large Language Model (Part 2)

Hello and welcome back to our analysis of on the biology of a large language model by anthropic. This is a blog post that anthropic has published uh investigating what they call the biology of a large language model. This works through uh a technique called attribution graphs.…

YouTube — Yannic Kilcher
Зерттеулер1 мин

Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)

Hello, how's it going? Today we're going to look at this paper right here. Energy- based transformers are scalable learners and thinkers. This paper combines the uh general concept of energybased models with transformers and suggests a learning paradigm for it and shows how that…

YouTube — Yannic Kilcher
Зерттеулер1 мин

Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)

Hello, today we are looking at context rot how increasing input tokens impacts LLM performance. This paper looks at what happens if with these long context models now we are just sort of putting more and more stuff into the context of LLMs and even though all of these models do…

YouTube — Yannic Kilcher
Білім базасы1 мин

AGI is not coming!

Hello. I'm out of my usual room today. As you can see, I'm flying to the US for work, but I wanted to give some quick updates on OpenAI's new model launches the past week. So, they've released an open- source model in different variants, and they've also released a new frontier…

YouTube — Yannic Kilcher
Зерттеулер1 мин

[Қағазды талдау] Еркін трансформатор (және кейбір вариациялық автокодер материалдары)

Саламатсызба. Бүгін біз Фаррет Метадағы France Fur тегін трансформаторын қарастырамыз. Бұл трансформатор классикалық декодер негізіндегі трансформаторды жасырын айнымалылар сериясымен кеңейтеді, оларды келесі реттілік туралы негізгі шешімдерді қабылдау үшін пайдалануға болады ...

YouTube — Yannic Kilcher
Білім базасы1 мин

[Бейнеге жауап] Cloudflare код режимі MCP және құралды шақыру туралы нені жіберіп алады

Сәлеметсіз бе, бұл көптеген жолдармен Theo немесе T3 GGG-тің MCP деп аталатын бейнесіне жауап беру бейнесі дұрыс емес абстракция және бұл сонымен қатар Cloudflare мақаласы туралы бейне, ол бейне MCP пайдаланудың ең жақсы тәсілі код режимі деп аталады және мен сізге осы мақаланы көрсеткім келеді, бірақ сонымен бірге ...

YouTube — Yannic Kilcher
Зерттеулер1 мин

Титандар: сынақ уақытында есте сақтауды үйрену (қағазды талдау)

[Ықылас] Сәлем. Бүгін біз сынақ кезінде есте сақтауды үйренетін титандарды қарастырамыз. Бұл Google зерттеуінің мақаласы және олардың Nurips басылымдарының бөлігі ретінде шығарылды. Сонымен, бұл туралы блог жазбасы бар және адамдар бұл туралы әлеуметтік желіде жариялады және мен мойындауым керек ...

YouTube — Yannic Kilcher
Зерттеулер1 мин

TiDAR: диффузияда ойлаңыз, авторегрессияда сөйлесіңіз (қағазды талдау)

Сәлеметсіз бе, бүгін біз Nvidia зерттеушілерінің TiDaR ойлау диффузиясы мен авторегрессиясын қарастырамыз. Және бұл өте керемет қағаз, өйткені ол авторегрессивті үлкен тіл үлгісінде GPU толық пайдаланылмағанын байқағаныңыз тиімді ...

YouTube — Yannic Kilcher
Білім базасы1 мин

МЕН ТОЛЫҚ АВТОМАТТЫ MANSPLAINER САЛДЫМ

Сәлеметсіз бе, сіз әңгімені еститін жағдайға тап болдыңыз ба және бұл адамның болмашы, бірақ сіз үшін маңызды нәрседе дұрыс емес ниеті бар екенін түсінуге болады және ғалам сізді олардың неге қателескенін айтуға мәжбүр етеді. Мынаны қараңыз. Мен пластикті қайта өңдеймін...

YouTube — Yannic Kilcher
Білім базасы1 мин

Essential Matrix Algebra for Neural Networks, Clearly Explained!!!

If you can add and multiply, then you can do matrix stuff! Hooray! StatQuest. Hello, I'm Josh Starmer and welcome to StatQuest. Today we're going to talk about essential matrix algebra for neural networks and it's going to be clearly explained. Start small but then build as big…

YouTube — StatQuest AI
Білім базасы1 мин

Human Stories in AI: Rick Marks

hello I'm Josh starmer and welcome to human stories in AI with stack Quest and lightning AI in this series we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquered challenges will be inspired by the realworld experiences of…

YouTube — StatQuest AI
Білім базасы1 мин

Human Stories in AI: Achal Dixit

hello I'm Josh starmer and welcome to human stories in AI with stack Quest and lightning AI in this series we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquered challenges will be inspired by the realworld experiences of…

YouTube — StatQuest AI
Зерттеулер1 мин

Transformers, the tech behind LLMs | Deep Learning Chapter 5

The initials GPT stand for Generative Pretrained Transformer. So that first word is straightforward enough, these are bots that generate new text. Pretrained refers to how the model went through a process of learning from a massive amount of data, and the prefix insinuates that…

YouTube — 3Blue1Brown
Білім базасы1 мин

Human Stories in AI: Khushi Jain

Hello, I'm Josh Starmer and welcome to Human Stories in AI with Stack Quest and Lightning AI. In this series, we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquer challenges. We'll be inspired by the real-world experiences of…

YouTube — StatQuest AI
Білім базасы1 мин

Human Stories in AI: Fabio Urbina

hello I'm Josh starmer and welcome to human stories and AI with stack Quest and lightning AI in this series we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquered challenges will be inspired by the realworld experiences of…

YouTube — StatQuest AI
Зерттеулер1 мин

Attention in transformers, step-by-step | Deep Learning Chapter 6

In the last chapter, you and I started to step through the internal workings of a transformer. This is one of the key pieces of technology inside large language models, and a lot of other tools in the modern wave of AI. It first hit the scene in a now-famous 2017 paper called…

YouTube — 3Blue1Brown
Білім базасы1 мин

The matrix math behind transformer neural networks, one step at a time!!!

we're going to do a lot of math row by column aray stat Quest hello I'm Josh starmer and welcome to stat Quest today we're going to talk about the Matrix math behind Transformer neural networks and we're going to go through it one step at a time this stat Quest is brought to you…

YouTube — StatQuest AI
Зерттеулер1 мин

How might LLMs store facts | Deep Learning Chapter 7

If you feed a large language model the phrase, Michael Jordan plays the sport of blank, and you have it predict what comes next, and it correctly predicts basketball, this would suggest that somewhere, inside its hundreds of billions of parameters, it's baked in knowledge about…

YouTube — 3Blue1Brown
Білім базасы1 мин

Log_e Song - Official Lyric Video

from slams import J stor and statistics and machine learning when you take the log you use base e and statistics and machine learning when you take the log you use base E when where you take the L you log base e base e is for you and for me you can use it with the log function…

YouTube — StatQuest AI
Білім базасы1 мин

Human Stories in AI: Brian Risk@devra.ai

[Music] hello I'm Josh starmer and welcome to human stories in AI brought to you by stat quest in this series we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquered challenges we'll be inspired by the real world experiences of…

YouTube — StatQuest AI
Білім базасы1 мин

Human Stories in AI: Simon Stochholm

hello I'm Josh starmer and welcome to human stories and AI with stack Quest and lightning AI in this series we'll hear about the career journeys of passionate AI experts from their humble beginnings to conquered challenges will be inspired by the realworld experiences of…

YouTube — StatQuest AI
Білім базасы1 мин

How I animate 3Blue1Brown | A Manim demo with Ben Sparks

The most common question I get about 3Blue1Brown is, what do I use to animate the videos? The short answer is that I wrote a custom Python library, its name is Manim, so it's all programmatic and it's also very bespoke. What I wanted to do with this video is offer a behind the…

YouTube — 3Blue1Brown