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We started Learning how to build AI agents & tools from scratch, on Nov 2, In the first two sessions we learned from the very basics: - One API call to the claude endpoint - How to use a tool - How to use that api with tool to...

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Neel Seth

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17,615 次观看 • 9 个月前 •via X (Twitter)

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We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.
0:52

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

Charles Maddock

42,142 次观看 • 2 个月前

I’m excited to kick off the first of our short courses focused on agents, starting with Building Agentic RAG with LlamaIndex, taught by Jerry Liu, CEO of LlamaIndex 🦙. This covers an important shift in RAG (retrieval augmented generation), in which rather than having the developer write explicit routines to retrieve information to feed into the LLM context, we instead build a RAG agent that that has access to tools for retrieving information. This lets the agent decide what information to fetch, and enables it to answer more complex questions using multi-step reasoning. In detail, you'll learn about: - Routing: Where your agent will use decision-making to route requests to multiple tools. - Tool Use: Where you'll create an interface for agents to select what tool (function call) to use as well as generate the right arguments. - Multi-step reasoning with tool use: Where you'll use an LLM to carry out multiple steps of reasoning, while retaining memory throughout the process. You’ll also learn how to step through what your agent is doing to debug and improve it iteratively. It’s an exciting time to build agents. Sign up and get started here!
2:06

I’m excited to kick off the first of our short courses focused on agents, starting with Building Agentic RAG with LlamaIndex, taught by Jerry Liu, CEO of LlamaIndex 🦙. This covers an important shift in RAG (retrieval augmented generation), in which rather than having the developer write explicit routines to retrieve information to feed into the LLM context, we instead build a RAG agent that that has access to tools for retrieving information. This lets the agent decide what information to fetch, and enables it to answer more complex questions using multi-step reasoning. In detail, you'll learn about: - Routing: Where your agent will use decision-making to route requests to multiple tools. - Tool Use: Where you'll create an interface for agents to select what tool (function call) to use as well as generate the right arguments. - Multi-step reasoning with tool use: Where you'll use an LLM to carry out multiple steps of reasoning, while retaining memory throughout the process. You’ll also learn how to step through what your agent is doing to debug and improve it iteratively. It’s an exciting time to build agents. Sign up and get started here!

Andrew Ng

297,131 次观看 • 2 年前

"The first day you opened up a Netscape browser and didn't go through AOL, you knew you were no longer playing in that walled garden" Simon Koster, CSO at DCG, on why AI needs its Netscape moment, breaking out of the AOL walled garden "We all talk about the days where most of us are old enough to have started on the internet using AOL. The first day you opened up a Netscape browser and didn't go through AOL, you knew you were doing something different, that you had to pay attention, do the right things, go to the right places. It took a little while to learn how to use that broader internet" "That's exactly what has to happen in AI. We need to get out of the walled garden of the specific tools we use today, that are very good but not all things to all people, and are going to become very expensive, and into an open internet of solutions" "When we have that level of access and broad tools on the AI side, we'll have to develop the skill of how to use all those different tools, but that'll be a really good learning curve for everybody"
1:03

"The first day you opened up a Netscape browser and didn't go through AOL, you knew you were no longer playing in that walled garden" Simon Koster, CSO at DCG, on why AI needs its Netscape moment, breaking out of the AOL walled garden "We all talk about the days where most of us are old enough to have started on the internet using AOL. The first day you opened up a Netscape browser and didn't go through AOL, you knew you were doing something different, that you had to pay attention, do the right things, go to the right places. It took a little while to learn how to use that broader internet" "That's exactly what has to happen in AI. We need to get out of the walled garden of the specific tools we use today, that are very good but not all things to all people, and are going to become very expensive, and into an open internet of solutions" "When we have that level of access and broad tools on the AI side, we'll have to develop the skill of how to use all those different tools, but that'll be a really good learning curve for everybody"

The Wolf Of All Streets

37,226 次观看 • 23 天前

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.
1:48

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.

TBPN

21,828 次观看 • 7 个月前

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 次观看 • 3 个月前

This is nuts. Mark Cuban just said something every young person should hear. AI agents are going to run through every small and mid-size business in the country. Not a single one of those owners will know how to build them. His advice: learn Claude. Learn agentic workflows. Just learn AI and how it works. Then go to these businesses and help them — because they won't know how to do any of this. They have money to spend. They have deep problems. They don't have you. But first you need to know how to build agents. This is the complete course ↓ Bookmark this. This is the opportunity.
0:29

This is nuts. Mark Cuban just said something every young person should hear. AI agents are going to run through every small and mid-size business in the country. Not a single one of those owners will know how to build them. His advice: learn Claude. Learn agentic workflows. Just learn AI and how it works. Then go to these businesses and help them — because they won't know how to do any of this. They have money to spend. They have deep problems. They don't have you. But first you need to know how to build agents. This is the complete course ↓ Bookmark this. This is the opportunity.

Rahul

1,279,569 次观看 • 1 个月前

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"
0:58

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"

American Optimist

13,182 次观看 • 5 个月前

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."
0:50

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."

The All-In Podcast

164,054 次观看 • 1 年前

NVIDIA CEO Jensen Huang on the future of artificial intelligence: "It is going to be largely optimistic, largely wonderful. There are some use cases that we have to be extremely careful about—as in all great technology. If you look at the progress of technology over the years, electricity, the internet, computers, the automobile, I think we can all, all accept that in each one of those cases, there are situations and cases where we have to be very careful about. So as the creators of this technology, the industry has to be mindful, thoughtful, rigorous about building and advancing this technology properly. This is the first technology in my generation where we invented a new computer technology where it's easier to access than not. For example the computer until now has been programmable for about 30 million people in the world. About 30 million of us know how to program it and apply it to some useful career. Now everybody in the world can program an AI. You just go up to it and just say, 'I'd like to, you know, ask you to do something.' If you're not sure how to use AI, you tell the AI, 'I don't know how to use AI. Tell me how to use AI. How do I, how do I write a program? How do I book a trip? How do I do a research?' And so we've closed the technology divide tremendously, and that's something that's really important to recognize."
1:28

NVIDIA CEO Jensen Huang on the future of artificial intelligence: "It is going to be largely optimistic, largely wonderful. There are some use cases that we have to be extremely careful about—as in all great technology. If you look at the progress of technology over the years, electricity, the internet, computers, the automobile, I think we can all, all accept that in each one of those cases, there are situations and cases where we have to be very careful about. So as the creators of this technology, the industry has to be mindful, thoughtful, rigorous about building and advancing this technology properly. This is the first technology in my generation where we invented a new computer technology where it's easier to access than not. For example the computer until now has been programmable for about 30 million people in the world. About 30 million of us know how to program it and apply it to some useful career. Now everybody in the world can program an AI. You just go up to it and just say, 'I'd like to, you know, ask you to do something.' If you're not sure how to use AI, you tell the AI, 'I don't know how to use AI. Tell me how to use AI. How do I, how do I write a program? How do I book a trip? How do I do a research?' And so we've closed the technology divide tremendously, and that's something that's really important to recognize."

Ryan Saavedra

20,105 次观看 • 2 个月前

US President Trump: "The problem with the Tomahawk, a lot of people don't know it, it'll take a minimum of six months, usually a year, to learn how to use them. They're highly complex. So the only way the Tomahawk is gonna be shoot is as if we shoot it, and we're not gonna do that... It takes a year of intense training to learn how to use it. We know how to use it, and we're not gonna be teaching other people."
0:38

US President Trump: "The problem with the Tomahawk, a lot of people don't know it, it'll take a minimum of six months, usually a year, to learn how to use them. They're highly complex. So the only way the Tomahawk is gonna be shoot is as if we shoot it, and we're not gonna do that... It takes a year of intense training to learn how to use it. We know how to use it, and we're not gonna be teaching other people."

Status-6 (War & Military News)

251,038 次观看 • 10 个月前

John Allan Namu: AI is a powerful tool but if you use it badly then you will get a bad outcome despite the power of the tool. Now that we are deploying this model across the most critical sectors in our economy, if we fail to get a richer understanding of the tool and fail to interrogate the intent with which we are using this tool, then we are going to end up in the situation that are in now #citizenexplainer
2:04

John Allan Namu: AI is a powerful tool but if you use it badly then you will get a bad outcome despite the power of the tool. Now that we are deploying this model across the most critical sectors in our economy, if we fail to get a richer understanding of the tool and fail to interrogate the intent with which we are using this tool, then we are going to end up in the situation that are in now #citizenexplainer

Citizen TV Kenya

11,775 次观看 • 3 个月前

It’s going to be a complex and unpredictable and unprecedented era ahead for all of us business people and marketers - the ai 🤖 era is here and there will be many changes but what’s clear at least in the short term ..is that the most creative and most strategic will gain “market share” over time ai will eat up a lot of tasks and process we have valued, we will all have to adjust, we can’t fear it or try to justify why it “isn’t” we must get into our creative and strategic “bags” and learn how to use these tools to excelerate our seeds of “ideas” or “observations” there will also be so much opportunity in the counter to all this technology .. real life events, experiences will continue to explode in value and opportunity… who’s ready ?
0:44

It’s going to be a complex and unpredictable and unprecedented era ahead for all of us business people and marketers - the ai 🤖 era is here and there will be many changes but what’s clear at least in the short term ..is that the most creative and most strategic will gain “market share” over time ai will eat up a lot of tasks and process we have valued, we will all have to adjust, we can’t fear it or try to justify why it “isn’t” we must get into our creative and strategic “bags” and learn how to use these tools to excelerate our seeds of “ideas” or “observations” there will also be so much opportunity in the counter to all this technology .. real life events, experiences will continue to explode in value and opportunity… who’s ready ?

Gary Vaynerchuk

22,888 次观看 • 1 年前

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
1:52

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 次观看 • 1 年前

"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:
1:13

"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:

Peter Yang

15,973 次观看 • 1 年前

We can't stop AI from changing the world. But we can change how the value it creates is distributed. Actionist.AI is our AI automation tool that gives back to the people who helped train it. Instead of all the value flowing to Big Tech, we're building a future where the people helping create that value can share in it too. And if you're interested in AI automation but don't know where to start, join our Discord. We'll soon be teaching our community how to build automations for businesses and prepare for the future of AI.
0:32

We can't stop AI from changing the world. But we can change how the value it creates is distributed. Actionist.AI is our AI automation tool that gives back to the people who helped train it. Instead of all the value flowing to Big Tech, we're building a future where the people helping create that value can share in it too. And if you're interested in AI automation but don't know where to start, join our Discord. We'll soon be teaching our community how to build automations for businesses and prepare for the future of AI.

Action Model

31,721 次观看 • 2 个月前

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:
1:56

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,425 次观看 • 1 年前