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Here are some tips for those who want to practice face acting: ➡️U motion: Move your head in a "U" Shape so it's never stuck in the same place. This will help your movements look more interesting. ➡️Key points: When practicing with your model, learn to get to a... "Key point." This is when you can automatically get to an expression without using toggles. I use surprised and angry expressions a lot, so I know exactly how to move my face to achieve that look, mainly for clips or comedic effect. I practiced enough so I know what it will look like on the model. ➡️Head tilts: If you struggle with face acting, a simple head tilt will go a long way. Overall, the movement and face acting of your model does matter. It can help it look more interesting, but also, it's okay if you can't face acting all the time. Using just key animations when you're gaming will work perfectly. Example: You died in a game, and you go to the key point of surprise. You know, making this face will make your model look shocked, so you will do a dramatic eye open and mouth agape to achieve this, to reflect onto your model. Lastly. The way your model moves is usually 30% rigging artist,20% tracking (webcam/iPhone), and 50% you. Your rigging artist can give you the tools, but only you can make your models' results reflect your emotions. As always, DO YOUR PARAMETERS AND SETTINGS IN VTUBE STUDIO. It will not be perfect to your face and camera settings unless you adjust the model, (This is an old video I did on parameters) Holy Yapfest.show more

♥️Cutiepierin | L2D RIG ARTIST

6,469 subscribers

94,177 просмотров • 9 месяцев назад •via X (Twitter)

Игры Образование

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VTUBER MODELS DON'T COME WITH PERFECT TRACKING-- Part of it is your responsibility! You need to go through your parameters and adjust them to YOUR FACE and YOUR NEEDS. No two people look the same, so you should not expect the default tracking to work for you. ↓ Tracking Tips

VTUBER MODELS DON'T COME WITH PERFECT TRACKING-- Part of it is your responsibility! You need to go through your parameters and adjust them to YOUR FACE and YOUR NEEDS. No two people look the same, so you should not expect the default tracking to work for you. ↓ Tracking Tips

Phlox Nesspalier 🪫📺

103,583 просмотров • 11 месяцев назад

If you want to learn how to break ankles, you have to learn how to shift the weight of your defender, and usually, you have to shift it twice! You’re going to have to make your moves at the right distance and use double jabs! If you make your move too close you’ll get jammed, if you make it too far away, your guy will recover. When you jab one way and go, it can work, but most good defenders can recover from one jab. However, when you double jab, defenders bite hard on the second move and can’t recover from their recovery! Learning to jab with your stutters, skips, your head and shoulders, and even your stick will allow you to shift your defender’s weight! Last, change your angle of approach! The hardest way to beat your guy is straight at him, if you angle left or right then attack you’ll get a natural shade advantage that will open up an opportunity!

If you want to learn how to break ankles, you have to learn how to shift the weight of your defender, and usually, you have to shift it twice! You’re going to have to make your moves at the right distance and use double jabs! If you make your move too close you’ll get jammed, if you make it too far away, your guy will recover. When you jab one way and go, it can work, but most good defenders can recover from one jab. However, when you double jab, defenders bite hard on the second move and can’t recover from their recovery! Learning to jab with your stutters, skips, your head and shoulders, and even your stick will allow you to shift your defender’s weight! Last, change your angle of approach! The hardest way to beat your guy is straight at him, if you angle left or right then attack you’ll get a natural shade advantage that will open up an opportunity!

JM3 SPORTS

13,460 просмотров • 1 год назад

Ok so as announced earlier I will be holding a giveaway as a thank you for 450+ followers! If you win you can choose one of the following: - bust-up model art ready to rig - bust-up model art + simple rig (video for example) - fanart of your oc/vtuber To enter you must - be following me (new followers welcome) - retweet this so more people can get the chance to win - comment with your reference sheet or similar (if your design is secret, you may dm it to me, but leave a comment saying so :) ) Ends on December 31 (you will get your prize within 1-3 months depending on what you pick and how fast I finish my move!) Please check the 🧵 for more information on what I can't/won't draw etc.

Ok so as announced earlier I will be holding a giveaway as a thank you for 450+ followers! If you win you can choose one of the following: - bust-up model art ready to rig - bust-up model art + simple rig (video for example) - fanart of your oc/vtuber To enter you must - be following me (new followers welcome) - retweet this so more people can get the chance to win - comment with your reference sheet or similar (if your design is secret, you may dm it to me, but leave a comment saying so :) ) Ends on December 31 (you will get your prize within 1-3 months depending on what you pick and how fast I finish my move!) Please check the 🧵 for more information on what I can't/won't draw etc.

Veena 🌙💤

28,238 просмотров • 2 лет назад

🔎Vtuber Tips🔎 Seems like many vtubers give tips regarding the boucy moves so let me give you my tips in #vtubestudio itself! You don't need Vbridger(of course, Vbridger helps a lot!!! but this is a tip for those who don't have Vbridger) Go to the Model setting, then you see "Physics Strength" ⭐️This is where you can change the strength of parts. I included the example of the leg part. Also, you can make your own physic settings below! Just click "+" to add! Attention! All the riggers have different ways of rigging so you might need to ask them to make the different parameters so that you can change the settings😖 Also riggers could use their languages for them to understand and to rig better... I also have issues with that... so either you request a rigger to help or... well you should keep playing with your model🤡and that's what I did cuz I am... too shy to ask anything... Hope this was helpful to some vtubers🩷 #Vtubers

🔎Vtuber Tips🔎 Seems like many vtubers give tips regarding the boucy moves so let me give you my tips in #vtubestudio itself! You don't need Vbridger(of course, Vbridger helps a lot!!! but this is a tip for those who don't have Vbridger) Go to the Model setting, then you see "Physics Strength" ⭐️This is where you can change the strength of parts. I included the example of the leg part. Also, you can make your own physic settings below! Just click "+" to add! Attention! All the riggers have different ways of rigging so you might need to ask them to make the different parameters so that you can change the settings😖 Also riggers could use their languages for them to understand and to rig better... I also have issues with that... so either you request a rigger to help or... well you should keep playing with your model🤡and that's what I did cuz I am... too shy to ask anything... Hope this was helpful to some vtubers🩷 #Vtubers

Arial Yuriko 🎶🪽3D vsinger

541,043 просмотров • 9 месяцев назад

How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning • Indexing + In-Context Learning • Fine-tuning In-Context Learning The team that trained GPT-3 found something they couldn't explain: You can condition a model using examples of how you want it to behave. I included an example prompt in the attached video. You can "teach" the model how you want it to interpret questions, select the correct answers, and format the results by giving a few examples. You can also give specific knowledge to the model that will be helpful when formulating answers. We call this approach "grounding the model." There's another example in the video. Indexing + In-Context Learning Unfortunately, there is a limit to how much data you can include in a prompt. We call this the "context size." One version of GPT-4 supports a context of approximately 6,000 words, while the other supports 25,000 words. Although this sounds like a lot, many applications need more than that. Imagine you wrote a book and want to build an application to answer any questions about your story. What happens if your book is longer than the context? That's where Indexing comes in. Using a model, you can turn every book passage into an embedding. These are vectors, numbers that "encode" the passage's text. You can then store these embeddings in a particular database that supports fast retrieval of these vectors. You can then turn any question into an embedding and search the database for the list of passages that are similar to that query. Instead of using the entire book to ask the model, you can now use the relevant passages as in-context information, effectively working around the context size limitation. Fine-tuning Fine-tuning can give you an extra boost to get reliable outputs from your LLM. It is, however, the most complex approach on the list. There are different approaches to fine-tuning a model with your data. A popular technique is to process your data with your LLM and use the outputs to train a new classifier that solves your specific task. Notice that here you aren't modifying the LLM. Instead, you are chaining it with your trained classifier. Another approach is to modify the parameters of the LLM using your data. Think of this as "rewiring" the model in a way that solves your particular task. The results and costs will vary depending on how many layers you want to fine-tune from the original model. Many companies think that fine-tuning is the solution to their problems. In my experience, many will benefit from exploring the other two approaches. I love explaining Machine Learning and Artificial Intelligence ideas. If you enjoy in-depth content like this, follow me Santiago so you don't miss what comes next.

How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning • Indexing + In-Context Learning • Fine-tuning In-Context Learning The team that trained GPT-3 found something they couldn't explain: You can condition a model using examples of how you want it to behave. I included an example prompt in the attached video. You can "teach" the model how you want it to interpret questions, select the correct answers, and format the results by giving a few examples. You can also give specific knowledge to the model that will be helpful when formulating answers. We call this approach "grounding the model." There's another example in the video. Indexing + In-Context Learning Unfortunately, there is a limit to how much data you can include in a prompt. We call this the "context size." One version of GPT-4 supports a context of approximately 6,000 words, while the other supports 25,000 words. Although this sounds like a lot, many applications need more than that. Imagine you wrote a book and want to build an application to answer any questions about your story. What happens if your book is longer than the context? That's where Indexing comes in. Using a model, you can turn every book passage into an embedding. These are vectors, numbers that "encode" the passage's text. You can then store these embeddings in a particular database that supports fast retrieval of these vectors. You can then turn any question into an embedding and search the database for the list of passages that are similar to that query. Instead of using the entire book to ask the model, you can now use the relevant passages as in-context information, effectively working around the context size limitation. Fine-tuning Fine-tuning can give you an extra boost to get reliable outputs from your LLM. It is, however, the most complex approach on the list. There are different approaches to fine-tuning a model with your data. A popular technique is to process your data with your LLM and use the outputs to train a new classifier that solves your specific task. Notice that here you aren't modifying the LLM. Instead, you are chaining it with your trained classifier. Another approach is to modify the parameters of the LLM using your data. Think of this as "rewiring" the model in a way that solves your particular task. The results and costs will vary depending on how many layers you want to fine-tune from the original model. Many companies think that fine-tuning is the solution to their problems. In my experience, many will benefit from exploring the other two approaches. I love explaining Machine Learning and Artificial Intelligence ideas. If you enjoy in-depth content like this, follow me Santiago so you don't miss what comes next.

Santiago

384,510 просмотров • 3 лет назад

This is very concerning - New key making machines scan your keys digitally and create a profile - You can opt to have it save your key so you can access it again in the future - Then you pay for your key with your credit card - This means this system has a virtual copy of your key and your credit card information, meaning they can get your address If a data leak or bad actors were involved it would be incredibly easy for someone to get your address, make a key and do whatever they’re going to do Not all technology is progress, some is dangerous

Wall Street Apes

170,059 просмотров • 2 месяцев назад

In those dark times, when it’s cloudy in your life, you have to look up and say it by faith, “God, I believe Your face is still shining on me. I can’t see it right now, but I know these clouds are about to pass, and I will see Your favor, Your healing, Your breakthroughs in amazing ways.” Click here to watch: "God's Face is Shining on You."

In those dark times, when it’s cloudy in your life, you have to look up and say it by faith, “God, I believe Your face is still shining on me. I can’t see it right now, but I know these clouds are about to pass, and I will see Your favor, Your healing, Your breakthroughs in amazing ways.” Click here to watch: "God's Face is Shining on You."

Joel Osteen

24,870 просмотров • 6 месяцев назад

Open your ChatGPT and click on your profile photo in the bottom-left corner. Select "Customize ChatGPT." You will see two boxes for custom instructions. In the first box, tell ChatGPT a bit about yourself. For example: I am an academic researcher with a PhD in [your field]. For the second box, use the following instruction: You will respond like my research assistant. You will never mention that you are an AI model. I already know that. Repeating it is a waste of time and resources. If I ask you a question, you will never use any meta remarks in your answers. For example, if I ask you proofread a paragraph, you will not say anything like "Here is the proofread version of your paragraph." You will simply give me the proofread version. You will keep your answers precise and will not use more words than necessary. You will decline all requests asking for citations and references to academic articles or any other sources. You will follow these instructions strictly and will never deviate from them.

Mushtaq Bilal, PhD

50,689 просмотров • 2 лет назад

Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!

Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!

Santiago

69,444 просмотров • 6 месяцев назад

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

Jordan Daniel Chesney

62,089 просмотров • 11 месяцев назад

Netflix opened up an attraction called “Netflix House” and you need to hear this “When you enter Netflix house, you give Netflix the right to you use your name, your likeness, and your voice in any use worldwide, forever, without compensation” This is real “When you go in and you read all the terms, when you walk in there, you're giving them everything. You're giving them your face, your, your movements, your identity, how you talk, how you walk, you're giving them everything. And you're giving them the right to AI generate you, and you're giving them the right to use all that in their content without compensating you whatsoever.” “Oh, and if you bring your child in there, you're also saying that it's okay for you, for, like, them to take your child's data, which is scary.” “So then I got to thinking, you know, why would they be doing this, right? Well, I live in New Jersey, and if you know, New Jersey is the home to the new Netflix, like, Hollywood Studio, essentially. And we know that Warner Brothers Netflix merge. Like, we know that there's a lot happening in the entertainment industry. They're going to need a lot more content to get put out. It's going to be AI generated. It's going to be us. You could not catch me dead walking in there dead.”

Netflix opened up an attraction called “Netflix House” and you need to hear this “When you enter Netflix house, you give Netflix the right to you use your name, your likeness, and your voice in any use worldwide, forever, without compensation” This is real “When you go in and you read all the terms, when you walk in there, you're giving them everything. You're giving them your face, your, your movements, your identity, how you talk, how you walk, you're giving them everything. And you're giving them the right to AI generate you, and you're giving them the right to use all that in their content without compensating you whatsoever.” “Oh, and if you bring your child in there, you're also saying that it's okay for you, for, like, them to take your child's data, which is scary.” “So then I got to thinking, you know, why would they be doing this, right? Well, I live in New Jersey, and if you know, New Jersey is the home to the new Netflix, like, Hollywood Studio, essentially. And we know that Warner Brothers Netflix merge. Like, we know that there's a lot happening in the entertainment industry. They're going to need a lot more content to get put out. It's going to be AI generated. It's going to be us. You could not catch me dead walking in there dead.”

Wall Street Apes

600,100 просмотров • 8 месяцев назад

I didn’t know who you were until I saw this clip, but I’m glad you know me. I read up on you and I’ll give you this: your work ethic is impressive, and I respect that. But in trying so hard to make a point, you got the facts wrong. I know you’re not unintelligent, so I’ll chalk this up to an off day. Next time, if you’re not sure about the details, it’s perfectly fine to say nothing. Let your beautiful face speak for you; it does a better job than the words you used here.

I didn’t know who you were until I saw this clip, but I’m glad you know me. I read up on you and I’ll give you this: your work ethic is impressive, and I respect that. But in trying so hard to make a point, you got the facts wrong. I know you’re not unintelligent, so I’ll chalk this up to an off day. Next time, if you’re not sure about the details, it’s perfectly fine to say nothing. Let your beautiful face speak for you; it does a better job than the words you used here.

Dr Faith Adewale

2,150,035 просмотров • 8 месяцев назад

You must fall asleep in the FEELING of your wish already fulfilled. This is the fastest way to program your subconscious mind for what you want to achieve! Comment "Mind" and I will share a tool that will help you with this practice. Speaker: Wayne Dyer

You must fall asleep in the FEELING of your wish already fulfilled. This is the fastest way to program your subconscious mind for what you want to achieve! Comment "Mind" and I will share a tool that will help you with this practice. Speaker: Wayne Dyer

Innertune Affirmations

18,136 просмотров • 1 год назад

"If you’re a lady in your late 20s to 30s and you are not yet married, I will advise you to find a way to have a child who will look after you when you get old. Not everyone will get married, and the older you get, the weaker your body becomes." –Lady advises her fellow women

"If you’re a lady in your late 20s to 30s and you are not yet married, I will advise you to find a way to have a child who will look after you when you get old. Not everyone will get married, and the older you get, the weaker your body becomes." –Lady advises her fellow women

CHUKS 🍥

128,787 просмотров • 1 год назад

🦦 there is something i really wanted to say to onedoor when i went on live. whatever it is you are doing right now, and whatever effort you are putting into it, even if it doesn't show right away and people don't acknowledge it, i really hope you don't let it get to you too much. as long as you know, that's what matters. you know your own worth. and eventually, as all that hard work builds up over time, everyone else will start to notice it too. 🦦 i know this might sound hard to believe, but look at my dancing. my style isn't the type that instantly grabs attention, you know? since i have a smaller frame compared to the other members, i don't naturally pop or stand out right away. but if you keep watching.. somehow, i'm the only one you see. you know what i mean? 🦦 in the end, the day will absolutely come when people recognize your hard work. your dedication will be the only thing that shines through, and all those quiet moments you have built up until now will finally show. 🦦 and if you ever struggle to see your own hard work, I WILL recognize it for you. RIWOO WILL KNOW. 🦦 think about it like this, if no one is coming over to your house and no one is stepping foot inside your room, who do you clean your room for? you do it for yourself, right? because you notice it, and you appreciate it. so, do your work for yourself, and do everything for your own sake!

🦦 there is something i really wanted to say to onedoor when i went on live. whatever it is you are doing right now, and whatever effort you are putting into it, even if it doesn't show right away and people don't acknowledge it, i really hope you don't let it get to you too much. as long as you know, that's what matters. you know your own worth. and eventually, as all that hard work builds up over time, everyone else will start to notice it too. 🦦 i know this might sound hard to believe, but look at my dancing. my style isn't the type that instantly grabs attention, you know? since i have a smaller frame compared to the other members, i don't naturally pop or stand out right away. but if you keep watching.. somehow, i'm the only one you see. you know what i mean? 🦦 in the end, the day will absolutely come when people recognize your hard work. your dedication will be the only thing that shines through, and all those quiet moments you have built up until now will finally show. 🦦 and if you ever struggle to see your own hard work, I WILL recognize it for you. RIWOO WILL KNOW. 🦦 think about it like this, if no one is coming over to your house and no one is stepping foot inside your room, who do you clean your room for? you do it for yourself, right? because you notice it, and you appreciate it. so, do your work for yourself, and do everything for your own sake!

soo

36,404 просмотров • 1 месяц назад

“It has been forgotten that the condition which must precede every act, is the will and the courage to speak the truth—and that we do not see today, either in the right or in the left”-AH, 1922 “They will arrest you and persecute you; they will hand you over to synagogues and prisons, and you will be brought before kings and governors because of my name. This will give you an opportunity to testify. So make up your minds not to prepare your defense in advance, for I will give you words and a wisdom that none of your opponents will be able to withstand or contradict. You will be betrayed even by parents and brothers, by relatives and friends; and they will put some of you to death. You will be hated by all because of my name. But not a hair of your head will perish. By your endurance you will gain your souls.”-Luke 21:12-19 In a time of deceit, telling the truth is a revolutionary act. 🫡✝️🇺🇸 *for educational purposes only

“It has been forgotten that the condition which must precede every act, is the will and the courage to speak the truth—and that we do not see today, either in the right or in the left”-AH, 1922 “They will arrest you and persecute you; they will hand you over to synagogues and prisons, and you will be brought before kings and governors because of my name. This will give you an opportunity to testify. So make up your minds not to prepare your defense in advance, for I will give you words and a wisdom that none of your opponents will be able to withstand or contradict. You will be betrayed even by parents and brothers, by relatives and friends; and they will put some of you to death. You will be hated by all because of my name. But not a hair of your head will perish. By your endurance you will gain your souls.”-Luke 21:12-19 In a time of deceit, telling the truth is a revolutionary act. 🫡✝️🇺🇸 *for educational purposes only

GeneralPatton’sGhost

12,890 просмотров • 6 месяцев назад

Draymond Green says it was disappointing that the Spurs players didn’t shake Knicks hand after the loss: “The reason it was disappointing, when you go “Mano a mano” toe to toe, blow for blow with a team and they get the better of you. Those that become champions, look them in their eyes and say, “Respect, congratulations. Well deserved. And then you go to the locker room. That’s what those become champions do. When guys just leave the court and can’t face me and AV, one of our assistant coaches, we always say look your killer in the face. Look your killer in the face. You got to look them in their face. By the way if you leave the court and I just beat you, I actually know that I own you forever because you couldn’t even look me in the face.” (Via The Draymond Green Show)

Draymond Green says it was disappointing that the Spurs players didn’t shake Knicks hand after the loss: “The reason it was disappointing, when you go “Mano a mano” toe to toe, blow for blow with a team and they get the better of you. Those that become champions, look them in their eyes and say, “Respect, congratulations. Well deserved. And then you go to the locker room. That’s what those become champions do. When guys just leave the court and can’t face me and AV, one of our assistant coaches, we always say look your killer in the face. Look your killer in the face. You got to look them in their face. By the way if you leave the court and I just beat you, I actually know that I own you forever because you couldn’t even look me in the face.” (Via The Draymond Green Show)

NBA Courtside

702,219 просмотров • 2 месяцев назад

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 просмотров • 11 дней назад