Все опубликованные аналитические материалы, исследования суверенного стека, новости экосистемы и обзоры моделей ИИ.
Я занимаюсь [музыка] в области NLP, а, обработки естественного языка и работаю конкретно сейчас над [музыка] системами распознавания речи, а, которая используются в наших исследованиях, в наших продуктах. И в этом году я являюсь ментором в летней исследовательской программе от…
hello how's everyone doing today we're going over another set of news that I call the fun category the first one isn't so much fun as it is just interesting and that is a blog post by Wiz research that has compromised hugging Face's entire infrastructure so if you recall one of…
hello there today we're going to look at leave no context behind efficient infinite context Transformers with infinite attention so the specific techniques we're going to look at are called infinite attention and this is by researchers at Google so infinite attention is a…
hello there today we're looking at orpo monolithic preference optimization without reference model this is a paper by researchers of kaist AI and largely deals with alignment aligning language models and instruction tuned models in some way we'll dive into what that means also I…
we have to talk about open AI there's so much been going on in the entire world of AI and today we're going to have a full plate with just open AI I know there's tons of other stuff going on but just open a has been through ups and downs and ups and downs recently and is finding…
hello everyone today we're going to look at scalable mapol free language modeling by researchers of UC Santa Cruz sucha University UC Davis and Loxy Tech this is a paper that replaces every single matrix multiplication operation inside of large language models with something…
hello there today we're looking at hallucination free assessing the reliability of leading AI legal research tools this is by a set of researchers out of Stanford and Yale as you can see here now I know on this channel we usually look at more kind of core machine learning stuff…
Hello, how's everyone doing? I hope you're having a great summer. I am back from vacation and we're ready to dive into some new papers. This paper is called privacy backdoors stealing data with corrupted pre-trained models as by Sean Long Fung and Florian Tramèr of ETH Zurich.…
hello how is everyone doing long time no see today we're going to look at this paper called scaling llm test time compute optimally can be more efficient effective than scaling model parameters this is a collaboration by Google Deep Mind and UC Berkeley and explores the question…
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…
hello there today we're going to take a brief look at GSM symbolic understanding of the limitations of mathematical reasoning in large language models this paper is out of apple which uh continues to slowly but surely enter into the research area obviously with uh personal…
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…
hello there yeah it's cold here um we cannot be dissuaded from reviewing papers today we're going to look at token forer rethinking Transformer scaling with tokenized model parameters this seems to be a collaboration of MOX plunk Institute for informatics Google and picking…
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…
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…
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.…
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…
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…
Hello there. Today we are looking at the free transformer from France Fur at Farret Meta. This transformer is extending the classic decoderbased transformer with uh a series of latent variables that can be used to kind of make underlying decisions about the sequence to be…
Hello there. Today we're going to look at on the theoretical limitations of embedding based retrieval. And this paper is really interesting uh because it proves something about embedding based retrieval. So think vector databases in rag and things like this. And the paper proves…
[фыркает] Привет. Сегодня мы рассмотрим, как Титаны учатся запоминать во время тестов. Это статья исследования Google, которая была опубликована как часть публикаций Nurips. Итак, об этом есть сообщение в блоге, и люди написали об этом в социальных сетях, и я должен признать, что…
Здравствуйте, сегодня мы рассматриваем доклад TiDaR Thinking Diffusion Talk и авторегрессию от исследователей из Nvidia. И это действительно классная статья, потому что она фактически подтверждает, что вы уже заметили, что у нас нет полного использования графического процессора во время авторегрессионной модели большого языка…
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…
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…
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…
[Submit subtitle corrections at criblate.com] Imagine you happen across a short movie script that describes a scene between a person and their AI assistant. The script has what the person asks the AI, but the AI's response has been torn off. Suppose you also have this powerful…
[Submit subtitle corrections at criblate.com] In January 2024, Google DeepMind released an AI model called Alpha Geometry, which could solve geometry problems from the International Mathematical Olympiad, or the IMO. The IMO is the highest level of competitive math contests at…
If you tell me what you like and what you don't like, I'll use that to train my model. Stack Quest. Hello, I'm Josh Starmer and welcome to Stack Quest. Today we're going to talk about reinforcement learning with human feedback and it's going to be clearly explained. This Stack…
You start with nothing, then you move. And you keep on moving till you can't get any more, then you're [music] done. StatQuest, bam. Hello, I'm Josh Starmer and welcome to StatQuest. Today, we're going to talk about optimization with linear programming main ideas. Specifically,…
We're going to find the optimal solution one row at a time. Stack Quest. Hello, I'm Josh Starmer and welcome to Stat Quest. Today we're going to talk about the simplex algorithm and we're going to go through the mathematical details. This stack quest is brought to you by the…