ポッドキャスト Cs2

Birth narratives, stable static representations, NLP for everyone, AI2 and Semantic Scholar, the mission of Ukrainian Catholic University, and books books books. Transcript: https://web.stanford.edu/class/cs224u/podcast/antoniak/ Maria's website Maria on Twitter Semantic Scholar Elliott Ash ETH Zurich Center for Law and Economics Text As Data (TADA…

Realizing that Foundation Models are a big deal, scaling, why Percy founded CRFM, Stanford's position in the field, benchmarking, privacy, and CRFM's first and next 30 years. Transcript: https://web.stanford.edu/class/cs224u/podcast/liang/ Percy's website Percy on Twitter CRFM On the opportunities and risks of foundation models ELMo: Deep contextua…

From genes to memes, evidence in linguistics, central questions of computational psycholinguistics, academic publishing woes, and the benefits of urban density. Transcript: https://web.stanford.edu/class/cs224u/podcast/levy/ Roger's website Roger on Twitter Roger's courses The Selfish Gene Joan Bresnan John Rickford Chris Manning Noah Goodman Thoma…

Giving a TED talk, linguistic diversity, code switching and large language models, the Indian NLP scene, empowering women with language consultation work, Wordle, and "once a linguist, always a linguist". Transcript: https://web.stanford.edu/class/cs224u/podcast/bali/ Kalika's website Kalika on Twitter Kalika's TED talk Microsoft Research India HAL…

Coast-to-coast professional journeys, multilingual NLP, teaching in a fast-changing field, the history of hate speech detection in NLP, ethics review of NLP research, research on sensitive topics, mentoring researchers, and optimizing for your own passions. Transcript: https://web.stanford.edu/class/cs224u/podcast/tsvetkov/ Yulia's website TsvetSho…

Grounding through pure language modeling objectives, the origins or probing, the nature of understanding, the future of system assessment, signs of meaningful progress in the field, and having faith in yourself. Transcript: https://web.stanford.edu/class/cs224u/podcast/pavlick/ Ellie's website The LUNAR Lab MIT Scientist Captures 90,000 Hours of Vi…

The early days of the rise of deep learning in NLP, conviction, the importance of applied work in the current moment, start-up risks, the state of Web search, paramotoring, and over-looked gems in the U.S. National Park system. Transcript: https://web.stanford.edu/class/cs224u/podcast/socher/ Richard's website Richard's Twitter Richard's paramotori…

Pronouncing "ColBERT", the origins of ColBERT, doing NLP from an IR perspective, how getting "scooped" can be productive, OpenQA and related tasks, PhD journeys, why even retrieval plus attention is not all you need, multilingual knowledge-intensive NLP, and aiming high in research projects. Transcript: https://web.stanford.edu/class/cs224u/podcast…

Neuroscience and neural networks, being a linguist in the world of NLP, evaluation methods, fine-grained NLI questions, the pace of research, and the vexing fact that, on the internet, people = men. Transcript: https://web.stanford.edu/class/cs224u/podcast/williams/ Adina's website Adina on Twitter Based on billions of words on the internet, people…

Hugging Face, multimodality, data and model auditing, ethics review, adversarial testing, attention as more and less than you ever needed, neural information retrieval, philosophy of mind and consciousness, augmenting human creativity, openness in science, and a defininitive guide to pronouncing Douwe. Transcript: https://web.stanford.edu/class/cs2…

Deriving static representations from contextual ones, interdisciplinary research, training large models, the Foundation Models paper and CRFM, being an academic on Twitter, and progress in NLP. Transcript: https://web.stanford.edu/class/cs224u/podcast/bommasani/ Rishi's website Rishi on Twitter Bommasani et al 2020 On the opportunities and risks of…

Episode 9: Loops are a very powerful aspect of any programming language, they allow you to perform a series of actions quickly and efficiently. in this episode, we'll talk about all the different types of loops in ActionScript, with special emphais on the "for" loop.Michael Geraci による

Episode 8: conditional statements are vital to any programming language. This podcast introduces you to "if" statements in ActionScript and their more versatile counterpart, the "switch".Michael Geraci による

Episode 7 talks about how and why we pass a parameter to a function or a method. Some functions just need a little extra direction before they can do their job just like you and I need to know exactly what we're hungry for when we go to make a sandwich.Michael Geraci による

Episode 6 introduces a "big picture" concept: objects and classes, the pre-defined elements that swirl around the Flash universe, and the system by which they are organized. Key topics in this episode include: a discussion of methods and properties, a discussion about the power and glory of movieclips, the notion of instantiatiion; and inheritance.…

Episode 5 introduces you to variables. You'll learn how to declare, initialize, set, and change a variable. The slightly more complex aspects of variables are also introduced: you'll hear about strict typing your variables, and the scope of variables.Michael Geraci による

Episode 4 deciphers one of the first 'serious" code examples in the texbook. Chapter 4, page 77 features 12 lines of ActionScript that is designed to show how to use Boolean data types.Michael Geraci による

Episode 3 discusses some of the more important aspects of writing ActionScript. Topics include: naming instances, formatting statements, and the built-in utilities for checking your code for errors.Michael Geraci による

Episode 2 introduces the concept of event-driven interactions in Flash. What are events? What types of events are there? How do you trigger reactions to them with ActionScript? All these will be discussed and more.Michael Geraci による

Episode 1 covers some of the basics about Flash ActionScript, SWF files, the Flash player application, and how to start writing code. There is also some information about where to access the online documentation for Flash.Michael Geraci による