正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Do you have a visualiser in your cupboard? Plug it into your computer and see how you can bring the teaching slides to life through live modelling! 🎬 By using the visualiser, you can model your thinking aloud and children can build alongside you. It also gives you the... show more

White Rose Education

64,209 subscribers

20,955 次观看 • 1 年前 •via X (Twitter)

科学技术艺术教育

Anya Rossi• Live Now

Private livecam show

2 条评论

Linda 的头像

Linda1 年前

@chrisdysonHT Most underrated bit of kit available to teachers.

Professor Smudge 的头像

Professor Smudge1 年前

You seem to be doing 5+7 = 5+(5+2) = 5+(2+3)+2 = 5+2+(3+2) = (5+5)+2 = 10+2 =12 !

相关视频

You can legit build your own OpenClaw🦞 from scratch in about 20 minutes with the @GitHub Copilot SDK. And when you build it, you can make it do anything. Here's how to build a personal AI assistant, and how I'm using one today.

You can legit build your own OpenClaw🦞 from scratch in about 20 minutes with the @GitHub Copilot SDK. And when you build it, you can make it do anything. Here's how to build a personal AI assistant, and how I'm using one today.

Burke Holland

26,868 次观看 • 3 个月前

Can this PLEASE BE THE POST that finally wakes you up and allows you to live your life on your terms, your passions, your wants and needs and how you think you can bring value …. Instead of living it based on the insecure judgment of strangers ??? Or even family … it’s time to live ”Your” life

Can this PLEASE BE THE POST that finally wakes you up and allows you to live your life on your terms, your passions, your wants and needs and how you think you can bring value …. Instead of living it based on the insecure judgment of strangers ??? Or even family … it’s time to live ”Your” life

Gary Vaynerchuk

37,082 次观看 • 3 个月前

🧍 Very cool idea So I added it to Photo AI as a T-Pose photo pack you can use to create a moving (or dancing) 3d model of yourself It auto-generates the correct T-Pose of your model immediately and then converts it into a 3D model you can download (as .fbx) and instantly import into @mixamo to rig it After rigging you can add any movement from Mixamo to move it however you want

🧍 Very cool idea So I added it to Photo AI as a T-Pose photo pack you can use to create a moving (or dancing) 3d model of yourself It auto-generates the correct T-Pose of your model immediately and then converts it into a 3D model you can download (as .fbx) and instantly import into @mixamo to rig it After rigging you can add any movement from Mixamo to move it however you want

@levelsio

139,521 次观看 • 5 个月前

I can't stop thinking about this... Michael Caine on his defining philosophy on life: Use the Difficulty As a young actor, he was rehearsing a play scene when a chair got stuck in the door and blocked his path. He told the other actor he couldn't get by the chair to enter the room in the scene. The actor's response: "Use the difficulty...if it's a comedy, fall over it, if it's a drama, pick it up and smash it." This idea—of using the difficulty—became a defining mantra for Michael Caine's life. "There's never anything so bad that you cannot use that difficulty...if you can use it a quarter of one percent to your advantage, you're ahead, you didn't let it get you down." This idea hit me hard... How can you use the difficulty you're currently facing? How can you embrace the struggle? How can you find flow through the friction? How can you sow the seeds of your light during the periods of darkness? As with everything in life, control the controllable: The difficulty is already there, you can't control it. You can control how you react to it. You can control your response to it. You can control your attitude towards it. Lesson: Difficulty is inevitable. Use it.

I can't stop thinking about this... Michael Caine on his defining philosophy on life: Use the Difficulty As a young actor, he was rehearsing a play scene when a chair got stuck in the door and blocked his path. He told the other actor he couldn't get by the chair to enter the room in the scene. The actor's response: "Use the difficulty...if it's a comedy, fall over it, if it's a drama, pick it up and smash it." This idea—of using the difficulty—became a defining mantra for Michael Caine's life. "There's never anything so bad that you cannot use that difficulty...if you can use it a quarter of one percent to your advantage, you're ahead, you didn't let it get you down." This idea hit me hard... How can you use the difficulty you're currently facing? How can you embrace the struggle? How can you find flow through the friction? How can you sow the seeds of your light during the periods of darkness? As with everything in life, control the controllable: The difficulty is already there, you can't control it. You can control how you react to it. You can control your response to it. You can control your attitude towards it. Lesson: Difficulty is inevitable. Use it.

Sahil Bloom

1,359,909 次观看 • 2 年前

The best thing you can do as a teammate is bring your best in practice. The most selfish thing you can do as a teammate is not bring your best to practice.

The best thing you can do as a teammate is bring your best in practice. The most selfish thing you can do as a teammate is not bring your best to practice.

Topher Scott

22,593 次观看 • 1 年前

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

384,482 次观看 • 3 年前

You can create a Grok Project, have it search for relevant research papers, and attach the good ones to your project. Because Grok 4 can parse PDFs, you can interact with the model, and it will have direct knowledge of your research.

You can create a Grok Project, have it search for relevant research papers, and attach the good ones to your project. Because Grok 4 can parse PDFs, you can interact with the model, and it will have direct knowledge of your research.

tetsuo

1,662,794 次观看 • 8 个月前

woozi teaching calm down man vocal techniques 🍑 when you start off you can practice being able to strongly project your breathing. you can make your mouth into a circle [and blow]. if you do this you can feel how the air moves past your mouth and is projected outwards. 🍑 make a smile and think of it like breathing through the gaps of your teeth 🍑 you are doing so well!

woozi teaching calm down man vocal techniques 🍑 when you start off you can practice being able to strongly project your breathing. you can make your mouth into a circle [and blow]. if you do this you can feel how the air moves past your mouth and is projected outwards. 🍑 make a smile and think of it like breathing through the gaps of your teeth 🍑 you are doing so well!

🌌

67,405 次观看 • 1 年前

What you say matters—but how you say it makes all the difference. With Hedra, you can make a character that fits your vibe and bring your message to life in minutes.

What you say matters—but how you say it makes all the difference. With Hedra, you can make a character that fits your vibe and bring your message to life in minutes.

Hedra

23,132 次观看 • 1 年前

Steve Jobs on why everything around you was made by people no smarter than you: "When you grow up, you tend to get told that the world is the way it is and your life is just to live your life inside the world. Try not to bash into the walls too much, have a nice family life, have fun, save a little money. But that's a very limited life." Steve believed most people live with a fundamental misconception. As he puts it: "Life can be much broader once you discover one simple fact. And that is—everything around you that you call life was made up by people that were no smarter than you." He continues: "And you can change it. You can influence it. You can build your own things that other people can use. And the minute that you understand that you can poke life and actually something will pop out the other side—that you can change it, you can mold it." On what matters most: "Maybe the most important thing is to shake off this erroneous notion that life is there and you're just going to live in it versus embrace it, change it, improve it, make your mark upon it. I think that's very important." His perspective on why you should change things: "However you learn that, once you learn it, you'll want to change life and make it better because it's kind of messed up in a lot of ways." The shift: "Once you learn that, you'll never be the same again."

Steve Jobs on why everything around you was made by people no smarter than you: "When you grow up, you tend to get told that the world is the way it is and your life is just to live your life inside the world. Try not to bash into the walls too much, have a nice family life, have fun, save a little money. But that's a very limited life." Steve believed most people live with a fundamental misconception. As he puts it: "Life can be much broader once you discover one simple fact. And that is—everything around you that you call life was made up by people that were no smarter than you." He continues: "And you can change it. You can influence it. You can build your own things that other people can use. And the minute that you understand that you can poke life and actually something will pop out the other side—that you can change it, you can mold it." On what matters most: "Maybe the most important thing is to shake off this erroneous notion that life is there and you're just going to live in it versus embrace it, change it, improve it, make your mark upon it. I think that's very important." His perspective on why you should change things: "However you learn that, once you learn it, you'll want to change life and make it better because it's kind of messed up in a lot of ways." The shift: "Once you learn that, you'll never be the same again."

Jaynit

48,479 次观看 • 5 个月前

Do you agree with Jeremy Corbyn ? Do we need cooperation across the left? You can have your say. All Green policy is voted through by Green membership. That means if you want to see cooperation happen, you can join the Greens and make it happen.

Do you agree with Jeremy Corbyn ? Do we need cooperation across the left? You can have your say. All Green policy is voted through by Green membership. That means if you want to see cooperation happen, you can join the Greens and make it happen.

Greens Organise

25,961 次观看 • 11 个月前

Everyone needs to hear this... Michael Caine on his defining philosophy for life: Use the Difficulty As a young actor, he was rehearsing a play when a chair got stuck in the door and blocked his path. He told the other actor he couldn't get by the chair to enter the scene. The actor's response: "Use the difficulty...if it's a comedy, fall over it, if it's a drama, pick it up and smash it." This idea became a defining mantra for his life. "There's never anything so bad that you cannot use that difficulty...if you can use it a quarter of one percent to your advantage, you're ahead, you didn't let it get you down." I can't stop thinking about this... How can you use the difficulty you're currently facing? How can you embrace the struggle? How can you find flow through the friction? As with everything in life, control the controllable: The difficulty is already there. You can't control it. But you can control how you react to it. You can control your response to it. You can control your attitude towards it. Lesson: Difficulty is inevitable. Use it.

Everyone needs to hear this... Michael Caine on his defining philosophy for life: Use the Difficulty As a young actor, he was rehearsing a play when a chair got stuck in the door and blocked his path. He told the other actor he couldn't get by the chair to enter the scene. The actor's response: "Use the difficulty...if it's a comedy, fall over it, if it's a drama, pick it up and smash it." This idea became a defining mantra for his life. "There's never anything so bad that you cannot use that difficulty...if you can use it a quarter of one percent to your advantage, you're ahead, you didn't let it get you down." I can't stop thinking about this... How can you use the difficulty you're currently facing? How can you embrace the struggle? How can you find flow through the friction? As with everything in life, control the controllable: The difficulty is already there. You can't control it. But you can control how you react to it. You can control your response to it. You can control your attitude towards it. Lesson: Difficulty is inevitable. Use it.

Sahil Bloom

291,729 次观看 • 3 个月前

You can now bring your images to life, just upload any image and it turns it into a clean and precise SVG. we're using a custom model specifically trained for SVG recognition and generation. the results are insane

You can now bring your images to life, just upload any image and it turns it into a clean and precise SVG. we're using a custom model specifically trained for SVG recognition and generation. the results are insane

Junior García

25,651 次观看 • 4 个月前

I can see the pain in your eyes. You need to be saved. Raise your right hand. Do you accept Straight Edge into your life? #WWE2K26

I can see the pain in your eyes. You need to be saved. Raise your right hand. Do you accept Straight Edge into your life? #WWE2K26

𝕾𝖙𝖆𝖙𝖚𝖘™

37,336 次观看 • 2 个月前

The future is increasingly unpredictable, here's how you can model your thinking:

The future is increasingly unpredictable, here's how you can model your thinking:

Bryan Johnson

148,502 次观看 • 1 年前

The Gondry Exercise: start with a single image and see how far and wide you can take it creatively. The starting image can be anything you want, as boring or complex as you wish. Then use Gen-4 to prompt for any combination of actions or changes to the scene. See how far you can go, and you will get a good measure of how much you need to exercise your creative mind.

The Gondry Exercise: start with a single image and see how far and wide you can take it creatively. The starting image can be anything you want, as boring or complex as you wish. Then use Gen-4 to prompt for any combination of actions or changes to the scene. See how far you can go, and you will get a good measure of how much you need to exercise your creative mind.

Cristóbal Valenzuela

15,622 次观看 • 1 年前

It can bring you wisdom or bind you and poison your life. The problem is not karma. The problem is how you carry it. #SadhguruWisdom

It can bring you wisdom or bind you and poison your life. The problem is not karma. The problem is how you carry it. #SadhguruWisdom

Sadhguru

22,077 次观看 • 1 个月前

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

girish

448,639 次观看 • 16 天前

As you may have seen, the GitHub MCP registry is now LIVE! But how do you use it in Visual Studio Code? Checkout this video by thejetdev to see how you can access the MCP servers live in the registry today 👇

As you may have seen, the GitHub MCP registry is now LIVE! But how do you use it in Visual Studio Code? Checkout this video by thejetdev to see how you can access the MCP servers live in the registry today 👇

Visual Studio Code

18,566 次观看 • 9 个月前