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Should Task Manager use this graph style? By "style", I don't mean the visuals - I mean the compressing of time on the horizontal axis so you can have an hour of data visible while still getting frequent updates. Note how the graphs "stack up" over time. You get... show more

Dave W Plummer

96,856 subscribers

19,063 просмотров • 4 месяцев назад •via X (Twitter)

Искусство Образование Наука и технологии

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Collins: How did you come up with the calculation essentially in terms of what this looks like for each country? Bessent: I can tell you ustr has the volumes of data and they've been doing it a long time. So and all this will probably be challenged in court. And I think that ustr in trump's first administration won over 4000 lawsuits. So I think the data is very robust.

Collins: How did you come up with the calculation essentially in terms of what this looks like for each country? Bessent: I can tell you ustr has the volumes of data and they've been doing it a long time. So and all this will probably be challenged in court. And I think that ustr in trump's first administration won over 4000 lawsuits. So I think the data is very robust.

Acyn

85,281 просмотров • 1 год назад

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

Andrew Ng

244,257 просмотров • 2 лет назад

De’Anthony Melton says he wants to be rewarded for his hardwork this offseason: “I mean I’ve been in this league a decent amount of time now. So 8 years is a lot of time. I’ve put in a lot of time and effort and work into this, you know what I mean? So I think that should be rewarded and I think, for anybody, you put in that much time, effort, work and you know you’ve seen the results and you’ve seen how much impactful you are and what you have done, like I said, you want to be rewarded for that. So, whatever comes with it, comes with it, but end of the day you want to get rewarded for your services.” (via 95.7 The Game)

De’Anthony Melton says he wants to be rewarded for his hardwork this offseason: “I mean I’ve been in this league a decent amount of time now. So 8 years is a lot of time. I’ve put in a lot of time and effort and work into this, you know what I mean? So I think that should be rewarded and I think, for anybody, you put in that much time, effort, work and you know you’ve seen the results and you’ve seen how much impactful you are and what you have done, like I said, you want to be rewarded for that. So, whatever comes with it, comes with it, but end of the day you want to get rewarded for your services.” (via 95.7 The Game)

aly ✶

73,908 просмотров • 2 месяцев назад

Updated this to add support for showing a graph of your activity over time, you can get the new version on the same github page under releases -> v1.2 requires unzipping this time though cause i couldnt figure out how to get it to not publish with some dependencies dlls

Updated this to add support for showing a graph of your activity over time, you can get the new version on the same github page under releases -> v1.2 requires unzipping this time though cause i couldnt figure out how to get it to not publish with some dependencies dlls

:DecimalCubed://

67,530 просмотров • 6 месяцев назад

A couple of weeks ago the NTSB issued an update on the UPS MD11 crash and I wanted to use the graphs of flight data in a visualization combined with the ADS-B data and surveilance videos. This is what I ended up with, one hard part about this is the flight is so close to the ground the viewpoint needs to account for the pitch of the aircraft raising and lowering the cockpit.

A couple of weeks ago the NTSB issued an update on the UPS MD11 crash and I wanted to use the graphs of flight data in a visualization combined with the ADS-B data and surveilance videos. This is what I ended up with, one hard part about this is the flight is so close to the ground the viewpoint needs to account for the pitch of the aircraft raising and lowering the cockpit.

Scott Manley

205,375 просмотров • 4 месяцев назад

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

Santiago

155,475 просмотров • 1 год назад

Madonna on yoga: "The whole thing about yoga is that you could just sit in a lotus position and you're doing yoga. You could just take a walk on a beach and you're doing yoga. It starts with your state of mind. And you get into a meditative state, and basically the asanas or the poses are just something to do while you're meditating. "It's taught me how to be a lot more flexible — and I don't mean just physically, I mean emotionally. I mean just in terms of how I look at the world, how I look at other people, how I am with other people. And I've learned to be not only easier on myself, but also on other people in terms of my expectations. "And it gives me a certain kind of centredness and serenity that I don't think I had before. I mean, it gives me so much, and the more I talk about it, the more trivial it sounds. It's been a great influence."

Madonna on yoga: "The whole thing about yoga is that you could just sit in a lotus position and you're doing yoga. You could just take a walk on a beach and you're doing yoga. It starts with your state of mind. And you get into a meditative state, and basically the asanas or the poses are just something to do while you're meditating. "It's taught me how to be a lot more flexible — and I don't mean just physically, I mean emotionally. I mean just in terms of how I look at the world, how I look at other people, how I am with other people. And I've learned to be not only easier on myself, but also on other people in terms of my expectations. "And it gives me a certain kind of centredness and serenity that I don't think I had before. I mean, it gives me so much, and the more I talk about it, the more trivial it sounds. It's been a great influence."

Rakesh Krishnan Simha

84,305 просмотров • 1 месяц назад

Asked Shai Gilgeous-Alexander what was going through his mind as he sat on the bench down the stretch of a loss for the first time this season: “I could feel it out there, how the game was going. Just on both ends of the floor, (we were) not getting done what we need to get done. By that time the game is over. You just learn the lesson and chalk it up.”

Asked Shai Gilgeous-Alexander what was going through his mind as he sat on the bench down the stretch of a loss for the first time this season: “I could feel it out there, how the game was going. Just on both ends of the floor, (we were) not getting done what we need to get done. By that time the game is over. You just learn the lesson and chalk it up.”

Justin Martinez

185,952 просмотров • 6 месяцев назад

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!

The Graph

425,322 просмотров • 2 лет назад

"Its basically deadly attacks vs time on a graph - extrapolate that graph and it leads to the Slaughter of Europe" "The Numbers are clear" People still have no idea just hope precarious the situation for the whole of Europe is.

"Its basically deadly attacks vs time on a graph - extrapolate that graph and it leads to the Slaughter of Europe" "The Numbers are clear" People still have no idea just hope precarious the situation for the whole of Europe is.

Concerned Citizen

13,795 просмотров • 4 месяцев назад

We have new character on Koikatsu! Or should I say a new person? 😆 This time is the turn of Scarlet from And voice by Thank you so much to both of you! 😘

We have new character on Koikatsu! Or should I say a new person? 😆 This time is the turn of Scarlet from And voice by Thank you so much to both of you! 😘

shepirotcloud

12,201 просмотров • 1 год назад

the fun part has started! having a blast on this haha! been experimenting the style I like how the Digimon design looks so organic and stylized at the same time. #WIP #Weregarurumon #Digimon

the fun part has started! having a blast on this haha! been experimenting the style I like how the Digimon design looks so organic and stylized at the same time. #WIP #Weregarurumon #Digimon

Manuel (CommsCLOSED)

43,394 просмотров • 1 год назад

I'm notified the moment a relevant job is posted on Upwork, and it's automatically placed into my personal job board on Trello, so I can either bid on it myself, or my agency va's can send out a proposal. This is what you're competing against so it's time to up your game. This took me a while to build, but it was well worth the time. If you want me to send a video about how I did this, just comment "Automate and Scale my Job Search". ...And I'll get you over a link to the video.

I'm notified the moment a relevant job is posted on Upwork, and it's automatically placed into my personal job board on Trello, so I can either bid on it myself, or my agency va's can send out a proposal. This is what you're competing against so it's time to up your game. This took me a while to build, but it was well worth the time. If you want me to send a video about how I did this, just comment "Automate and Scale my Job Search". ...And I'll get you over a link to the video.

Adam Palmer | FreelanceKing

11,727 просмотров • 3 лет назад

🎙️: “this could be championship weekend for you lando norris” lando: “i'm excited for all of it. i've never been in this situation before but i'm excited, i think it's exciting for everyone. i think i certainly would have liked to have the 30 point gap instead of 24 to whoever it is, but yeah makes it more exciting for you guys i guess so good for you. and no, i think i'll just go and try and do the same thing i'll focus on trying to get good quali and have a good race and just take one step at a time. i don't mind, of course the earlier i can do it the better but at the same time that doesn't change how i do anything i just need to try and win and simple as that”

🎙️: “this could be championship weekend for you lando norris” lando: “i'm excited for all of it. i've never been in this situation before but i'm excited, i think it's exciting for everyone. i think i certainly would have liked to have the 30 point gap instead of 24 to whoever it is, but yeah makes it more exciting for you guys i guess so good for you. and no, i think i'll just go and try and do the same thing i'll focus on trying to get good quali and have a good race and just take one step at a time. i don't mind, of course the earlier i can do it the better but at the same time that doesn't change how i do anything i just need to try and win and simple as that”

ray

434,609 просмотров • 6 месяцев назад

Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:

Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:

Santiago

125,928 просмотров • 8 месяцев назад