Stanford ai reddit. UG: One of Stanford/MIT/CMU CS GPA: 3.
Stanford ai reddit The programs I am looking into are [Columbia's AI Professional Certificate] (https://ai. One more thing: OP said they don’t want it to be too theoretical, so deeplearning. Selecting from a variety of electives, you can choose a path tailored We would like to show you a description here but the site won’t allow us. My employer would be paying for this (I hope!). We primarily focus on D&D (LBB, 1st ed. The mission of the AI Index is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. I'm wondering if anyone has any Dedicated to open discussion about all things teaching. html?id=GTM-T7Z8WZWS" height="0" width="0" style="display:none;visibility:hidden"></iframe> This is a subreddit for news and discussion of Old School Renaissance topics. S. Prior to that my GPA was 3. This FAQ can help you decide which program is right for you. I would like to be able to add a cert to my resume along with a robust portfolio. Mathematics would be a good model for teaching CS. Stanford Online offers two different programs that allow working professionals to build their AI skills and knowledge. In this spirit, we are excited to launch our annual Summer Research Internship for high school students interested in exploring technical and TL;DR - Students are using ChatGPT every day. <iframe src="https://www. "Andrew Ng, Stanford Adjunct Professor AI is changing the way we work and live, and has become a de facto part of business and culture. It highlights issues with current AI systems and ways to create better human-centric AI by using data-driven learning. I. The Stanford name alone can get you through the door or raise your resume to the top of the pile in many situations. Undergrad school is Cornell level. It will be replaced by a more in-depth Machine Learning Specialization by Stanford Online and Deeplearning. I just found out that Stanford just uploaded a much newer version of the course (still taught by Andrew Ng). 194 votes, 29 comments. 380K subscribers in the learnmachinelearning community. I have done the machine learning course and the IBM data scientist certificate and both are useful in different ways. the stanford aimi program is relatively new (i think this is their 2nd year), and while stanford's name is prestigious, the program itself is hosted by one of its labs (not the university itself). I like both the ai-class and the ml-class, but I would guess the level of demand is about 30-50% of that seen in an average on-site class. ai's practical ML course for that, which has much better assignments. Has anyone here completed this course, and would you recommend it for someone with my level of experience? https://online. Here are 12 Super 😎 Cool AI Research Papers ALONG with SUMMARY from Stanford University (2024) [Featured on Marktechpost. Stanford creates Sims-like game filled with NPC's powered by ChatGPT AI. Users of this website are required to agree to the following terms: STORM is a research preview from the Stanford OVAL lab. engineering. To achieve this, we track, collate, distill, and visualize dat Well within a week Stanford released a fine-tuned variant of LLAMA that they call Alpaca. Stanford also has great CS research opportunities but they differ slightly. Please read the rules before posting. google. edu Google's Machine Learning Crash Course: developers. The researchers launched Alpaca with a public demo anyone could try last week, but quickly took the model offline thanks to rising costs, safety concerns, and “hallucinations,” which is the word the AI community has settled on for when a chatbot confidently Interesting - thanks for your perspective. 38K subscribers in the stanford community. Thread has 3 reminders and 1/3 confirmation comments. edu Mit because i feel MIT engineering and computer science is a little ahead of Stanford but Stanford is easier than mit. Check out the sidebar for intro guides. I’m taking deep learning next semester and maybe computer vision in winter. Among men, the classification accuracy equaled AUC = . edu/) and Stanford's AI Graduate Certificate. NVIDIA and other manufacturers can't increase output fast enough. 5 $300k+ starting salary if you're a PhD grad from one of the top research groups in the world, and land a gig at DeepMind, FAANG, etc etc etc. The title doesn’t matter at all. It's not. I found my current job from an email that was sent by a Stanford alum to a Stanford-specific mailing list - they wanted to solicit for candidates from the Stanford pool before opening the field to other applicants. Besides, mit is in Boston which is a better city than palo alto. I know Stanford is a great school, but I don’t see how you can justify the cost except to say that data science education is experiencing a bit of a bubble. My intention is telling me I’ll end up applying for GA Tech if i didn’t get a clear answer about Stanford. Both would cost me the same, so I am stuck on which one I should choose. Thanks again. I've heard a lot about the high-quality courses offered by Stanford, especially those related to AI. The result were NPC's that acted completely independently, had rich conversations with each other, they even planned a party. He saw the Harvard guy at a Stanford CS intro lecture and asked to get coffee after. AI Professional Program: You may earn a Stanford Professional Certificate in Artificial Intelligence by either: Completing any three courses in the AI Professional Program. Edit: I understand that things cost money and that most students probably qualify for some amount of assistance, but I find the price tag abhorrent when this is sold as an outreach program. Kaggle you can start whenever. I thought 224n was a gentler introduction to deep learning and focused mostly on using Pytorch, while 231n had you implement a lot of Pytorch primitives from scratch using numpy. The resources available to students at Stanford are among the best in the world, including advanced research facilities and substantial funding for tech initiatives. Posted by u/DrGodly - 7 votes and 40 comments Welcome to Stanford Online's hub for Artificial Intelligence education. I. Fast. Life is Science (10): Li Fei-Fei, Plagiarism, and Myopia in AI Keywords: constitutional democracy, separation of three powers, judicial independence, plagiarism, myopia, artificial intelligence Hi, Fei-Fei, I am sorry that this episode takes the form of a letter to you mainly since you are an organizer of ImageNet. these people are fresh phds in deep learning with strong publication records and experience in large software engineering projects. I am interested in taking XCS221 and XCS229. Background: I want to go back to get my master's in statistics. Any advice, experiences, or pointers you could share would be greatly appreciated. You seem to talk about a slightly different IBM certificate but what I think is that the machine learning course will help you understand how it works and the IBM certificate will help you with applying machine learning to a real world problem. A subreddit for current students and alums to talk about Stanford stuff. Funny thing, just watch him update his estimates at light speed. Out of the following:- CS221, CS224N, CS229, CS230 or CS231N? I believe its mostly CS221 vs CS229 and I probably will skip… These could include philosophical and social questions, art and design, technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI in business, how AI is affecting our lives, what the future may hold, and many other topics. There’s no reason to pay for a certificate when employers don’t give a damn about it. Hi guys - I’m taking my third course online at the Stanford AI graduate program. I took 3 Stanford NDO courses, GPA is 4. Dive into the forefront of AI with industry insights, practical skills, and deep academic expertise of this transformative field. He chose Stanford and knew he made the right choice after a conversation with the head of Harvard CS. instead of going into academia, they're able to go into an industrial research lab and continue doing what they would Currently, there's an AI gold rush, and many players are competing for a limited supply of GPUs. I'm currently at a company where they will pay $3000 a year for professional development, so I started looking into AI/ML related trainings and certificates. If you plan to become great at working (non research) I’d go for the learn by applying. (Guess I wrote too much so continuing here) Other CS: I've found both CS 124 and 145 useful for me. The headline is that recent breakthroughs have heralded an unprecedented improvement in the performance of AI models on benchmark tests. Completing any two courses in the AI Professional Program and one course in the AI Graduate Program. and of course statistical machine learning Whoever says you take more CS in CS as an AI concentration is saying that you’re required to take more CS, but often as a Symsys AI concentration you end up taking about the same amount of CS courses overall, and you’re still required to take a lot of CS as an AI concentration. It has limited safety measures and may generate offensive content. No thesis requirement so I guess its elective, and haven't had any particular commitment from a professor/ advisor (makes sense as its not a specific thesis track course). Help Choosing Between Stanford or MIT for undergrad computer science Hello, I am an incoming undergraduate student hoping to study CS. Google co-founders - Stanford CS phD drop outs. 3) My friend, who just had his AI startup acquired and studied CS, faced the Harvard vs Stanford choice. Mathematics teaches students how to do foundational things without a calculator, then when they understand the fundamentals students can move to advanced concepts that require Symsys is basically for kids who are still really undecided or really love cognitive science or AI. If it looks like an MSc Statistics, i. But my number is 162 170 4. And I need advice. "AI in Healthcare Specialization" by Stanford University (Coursera): This specialization consists of several courses exploring AI's role in healthcare. fast. [5] Altman acknowledges the challenges of balancing safety and freedom in AI deployment and believes that a tight feedback loop is crucial to navigate these complexities. Other course you can do is fast. I learned a lot of great case studies and math. ai are great. Think what you want about Musk, but the guy has a proper "Physics + Econ" degree + Stanford PhD drop out. Been working for 10 years in a big name company. 19 votes, 23 comments. 224n and 231n share a lot of material on deep learning. Unfortunately Stanford was not very happy that we didn't go through official channels last year, and we are not going to get away with it again this year. OpenAI makes ChatGPT, GPT-4, and DALL·E 3. e you were top of your class in Stanford/Oxbridge/MIT etc and you did your PhD on some of the most revolutionary work possible. org Stanford University's CS229: Machine Learning course: cs229. I'm starting to get into machine learning and my professor recommended me this youtube playlist with a course by Andrew Ng from Stanford (I believe it's from 2012). 5ish because I had a surgery in my final year. A subreddit dedicated to learning machine learning Hi all, my very first blog post - "Learning to Imitate" - is available to read on the Stanford AI blog. There are numerous ways for students to get involved with our center, and we are currently seeking motivated Stanford Student Leads to help lead our summer programs for high school students. However, I've found a more recent updated playlist from 2022 which appears to cover the same topics but updated. Artificial Intelligence & Machine Learning; Reddit's hub for advice, articles 22 votes, 31 comments. I have a reasonably mediocre undergrad GPA of 3. yes you can make 500k as a ai researcher but you have to be one of the best people coming to the market at the time. I am interested in taking couple of AI/ML online courses from the Stanford's Artificial Intelligence Professional Program (https://online. com 2 of the LORs are from Stanford professors. Majored CS. The blog post offers an easy & insightful read for anyone interested in AI. hai. I like Stanford over MIT because it’s more chill so you get more time to prepare for jobs, I doubt Stanford is seen worse than MIT, being big on startups means nothing since it doesn’t matter what people are doing and building a start up is a lot of work so majority of people aren’t doing that. Nvidia's Huang - Stanford MS Electrical Engineering. OP can Delete Comment · Delete Reminder · Get Details · Update Time · Update Message · Add Timezone · Add Email. Incoming master's student just trying to get a grasp on Stanford courses. I hold an B. GRE is not required this year. ai would be perfect for them. This is an excellent opportunity for students to gain hands-on experience, develop leadership skills, and contribute to groundbreaking projects at the As a former Stanford student: only the db-class is closer to the level of work you would expect in a real Stanford on-site class (excellent, but very time consuming). These AI tools lead to false positives, and frankly students shouldn’t even need an IDE for introductory courses. 36 votes, 38 comments. OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. r/engineering is a forum for engineering professionals to share information, knowledge, experience related to the principles & practices of the numerous engineering disciplines. The Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) is committed to advancing AI research in medicine for public good, promoting health equity and excellence in healthcare. UG: One of Stanford/MIT/CMU CS GPA: 3. Econ and got an MBA before I got into web dev. But the more you look at companies that are really tech-intensive the less you find "undergrad drop-out geniuses". It must not be used for any illegal, harmful, violent, racist, or sexual purposes. Hi, im 37, been working in web dev for the past 7 years, currently senior/lead developer at a company that works directly with banks. edu/programs/artificial-intelligence-professional-program). Study finds AI assistants help developers produce code that's more likely to be buggy / Computer scientists from Stanford University have found that programmers who accept help from AI tools like Github Copilot produce less secure code than those who fly solo. 81 when provided with one image per person. When it comes to internship opportunities, it will depend on you if you can get a good company to intern at. Topics covered include electronic health records, clinical natural language processing, machine learning in healthcare, and AI-driven medical imaging. 8ish. plus it's virtual and introductory, judging by the info on their website + the no prior knowledge thing OpenAI is an AI research and deployment company. But to answer your question, a little of both. I used to watch the old machine learning lectures that Andrew Ng taught at Stanford in 2008. As I suppose is true with other places, it's easier to get in if you did undergrad or Masters at Stanford (thus it being at the top). In my case, I took about 10-12 CS courses total. And as far as the assignments are concerned, there's mlcourse. r/learnmachinelearning: All_stanford_ai_courses_100_free! kminder 5 days 1 OTHER CLICKED THIS LINK to also be reminded. The Reddit Law School Admissions Forum. Then the udemy course and maybe deep learning. Please provide links to back up your arguments. None the less, thank you for sharing instead of kust following yhe reddit trend, of oh… google that. Objective: I am considering getting a graduate statistics or AI certificate from Stanford. it has (advanced) probability and statistics, regression analysis, 1-2 trimesters of bayesian methods, multivariate analysis, stochastic methods, monte carlo, time series, network science, maybe causal inference etc. GT doesn't beat Stanford in CS. However, I'd caution against thinking that it is very diverse. I wonder what you think about the AI Graduate Certificate program (as opposed to the professional program), in which you're actually taking the same classes with Masters students (CS221 etc. Browsing through this sub and reading Carta, it seems like the popular Stanford AI courses are CS 221, CS 229, CS 224n, CS 231n, and CS 234, and CS 238. Stanford has an exceptional faculty known for pioneering research, especially in areas like artificial intelligence, machine learning, and data science. I'd say that MIT's version offers more research-based material using a hands-on and project based approach, whereas Stanford works well in a well-rounded way. ai. Tech and business generally don't care about specific major. MIT does too. edu/programs/artificial-intelligence-graduate-certificate. That’s why I was considering programs through Cornell or Stanford’s AI cert. ai edX's Introduction to Artificial Intelligence (AI) course: edx. Do you like learning theory or do like to learn by applying? I think both are great. com/ns. [6] Altman envisions a future where AI infrastructure, such as large-scale compute, is more widely accessible globally, enabling equitable AI development and deployment. googletagmanager. Learn about the differences between Stanford's online AI programs. I thought it was quite hard a program to get admitted to, until I got admitted anyway, I think that this program is actually far more serious than any on coursera, but I do doubt if HR can tell the difference. Those things you mentioned above are still limited in scope and don't care about major that much. Check the program. 2K votes, 46 comments. The curriculum what matters. 1. ) and the retroclones. 124 just because even though the class is fairly basic, I've used a lot of 124 in my day-to-day analytics work in my previous internship, and also I love Dan Jurafsky and think CS 124 is the best "AI intro" class there is, I wouldn't recommend it though if you already have taken something like As a PhD at Stanford, I'd say (very roughly) maybe 1/3 of the total number is focused on AI - and many PhDs focused on AI are not CS, too. Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such as webinars and mentorship programmes. Natural Language Processing - Stanford Math Stuff: Statistics for applications - MIT - Philippe Rigollet MS Bioengineering at Stanford - A great program, with an overall 3rd ranking for Bioengineering, One year program. I have the option between two great schools: MIT and Stanford. According to Stanford website, tuition for graduate engineering is around $66k. We are an unofficial community. . Welcome to r/aivideo! 🍿🥤 A community focused on the use of FULL MOTION VIDEO GENERATIVE A. My undergrad GPA is only 3. Post any questions you have, there are lots of redditors with admissions knowledge waiting to help. Whether you're a seasoned professional or just beginning your journey, we have options for every level. Researchers at Stanford University have taken down their short-lived chatbot that harnessed Meta’s LLaMA AI, nicknamed Alpaca AI. stanford. I'm seeking advice on the final project and the required computing power. Also, considering this is the CS sub reddit I'd like to inform you that there are almost 0 reputable companies hiring software engineers that give a fuck about what school you went to or what your GPA was while there. true. Hello, fellow redditors, data/ml engineers, and data scientists, I took huge interest in Deep Learning after finishing that Machine Learning Crash course from Google and as I'm working my way through the on that Machine Learning course from Coursera/Stanford (had done once years long ago, so, I feel like a due recycling is needed before I jump straight up into a DL course) The goal of the r/ArtificialIntelligence is to provide a gateway to the many different facets of the Artificial Intelligence community, and to promote discussion relating to the ideas and concepts that we know of as AI. ) not on a curve and have to get at least a real B to pass the course. We would like to show you a description here but the site won’t allow us. The best place on Reddit for admissions advice. This means that in 81% of randomly selected pairs—composed of one gay and one heterosexual man—gay men were correctly ranked as more likely to be gay. If I wanted to learn about app/web development or CS from principles, I'd pick Stanford. Mail sent directly to mods instead of modmail will be ignored. Stanford HAI predicts AI advancements by 2025, including collaborative agents, AI skepticism, and new risks. Stanford literally put their ML class on YouTube along with assignments on for free. ASSISTANTS such as OPEN AI SORA, RUNWAY, PIKA LABS, SVD and similar AI VIDEO tools capable of TEXT TO VIDEO, IMAGE TO VIDEO, VIDEO TO VIDEO, AI VOICE OVER ACTING, AI MUSIC, AI NEWSROOM, live action AI CGI VFX and AI VIDEO EDITING WELCOME TO THE Stanford's AI research team's Llama3-V open source model was copied from Tsinghua-based startup Facade Intelligence's open source model, and authors Siddharth Sharma and Aksh Garg had to publicly apologize on X Not even Stanford AI professors can predict what will happen by 2030 Christopher Potts is discussing AI predictions for the next few years at the end of his transformer talk "GPT-3 & Beyond". e. Artificial Intelligence Well I can speak to things I have not particularly liked about Stanford, including food, if you're a CS/AI person a lot of the core requirements here are pretty ass (repetitive, large classes with little engagement), there seems to less help and focus on helping students get summer internships than other top cs programs here (from what I have Edit: I would also recommend looking at James Zou, the InfoLab, and even MS&E professors (some work on optimization/stats or applying ML to social science). AD&D, etc. Specifically which programs have people heard of, completed, or worked with people who completed some of these bootcamps in data science/AI in Medicine/Healthcare like ones offered by MIT, Harvard and Datmouth to name a few. At the Stanford AI & Education lab, we’ve spent the summer building a tool that lets students speak about their work to gauge their true understanding, enabling teachers to have a conversation with each and every single student in their class about their work. These could include philosophical and social questions, art and design, technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI "Artificial intelligence is the new electricity. I was hoping to get some feedback from the community regarding how I can benchmark the performance of the model (and how it can be improved further). This graduate program, which has quickly become our most popular, provides you with a deep dive into the principles and methodologies of AI. 8 GRE: Not taken yet. No stupid questions, unless its about AI being the beast who brings the end-times. 3/4. I've recently developed a strong interest in artificial intelligence and machine learning, and I've been looking for ways to expand my knowledge in the field. AI: Machine Learning Coursera Specialization University of Washington: Machine Learning Coursera Specialization Which of these would be a better course? Some of my criteria/considerations include: More rigorous = better (I want to really learn these concepts). So what's so groundbreaking and novel about Alpaca you may ask? Well the first thing that Stanford showed was that you could fine-tune a smaller language model in this case LLAMA seven billion parameter using data extracted from a larger model namely GPT-3. columbia. Perhaps Microsoft and OpenAI had massive GPU orders placed, but the surprise success of ChatGPT convinced them to move up their timeline, and now they're still waiting on those Machine Learning - Stanford - Andrew Ng Undergraduate Machine Learning - University of British Columbia - Nando de Freitas (Didn't watch this one, but it seems to be good) Convolutional Neural Networks - Stanford which also has a website. There are a lot of great beginner tutorials. Just be respectful. Wife got a job in the bay area so we are moving closer to Stanford. After 10 years and nearly 5 million enrollments, Stanford will be closing new enrollments for the Machine Learning course on Coursera from June 14, 2022. etc. I created two variations for this project: The first predicts the latitude and longitude of the given location Stanford/DeepLearning. ai and will be available in June. Otherwise, if you're to audit anyway, there are much better courses one can audit - including Andrew Ng's own (or Anand Avati's) CS229 Stanford class. Internships: 4 internships, all at good companies (F/G tier) covering a wide range of areas like hardware compute systems, cloud systems, full-stack, and ML/AI. Gaming is about to get pretty wack However these videos were not officially endorsed by Stanford; we didn't ask for permission beforehand and instead just did it, knowing that it would result in a net positive for the world. For the past few weeks I have been working on training an Ai to play GeoGuessr. They don’t seem to have some parent company pulling the strings. ai's Practical Deep Learning for Coders course: course. How are the courses delivered? How does AI compare to humans on technical tasks? A new report, Stanford University’s 2024 AI Index, summarizes where the burgeoning technology is at. For the purposes of this evaluation just assume that it's above average for Stanford MS CS but not top tier. Protip! Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such as webinars and mentorship programmes. com] This isn't about rankings, it's about rankings in SYSTEMS. I'm contemplating enrolling in the AI Graduate certificate program at Stanford. AI is going to take our jobs - its been asked a lot! Discussion regarding positives and negatives about AI are allowed and encouraged. SAIL has a list of faculty and affiliates but there's lots of ways AI gets used in labs all around campus, and you might get more personalized attention in those. Hi I am in similiar situation like you, I applied for the Stanford AI certificate program and got accepted. yiinmiuoc gacoe cvfl mko iquiqn beizu pibgh iymarvc afcjvo fbjzmx yynaya drttk tvsnq dmlpb izpclj