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Build With Binh
เข้าร่วมเมื่อ 15 ต.ค. 2020
⚡️20 y/o electrical engineer, trying to build you the coolest stuff on TH-cam
I made an AI teddy bear that can talk and feel
--- GLaDOS ---
This project couldn't be done without GLaDOS Personality Core, a project for making real life GLaDOS from the Portal series: github.com/dnhkng/GlaDOS
--- My fork of GLaDOS for Ted (with necessary modifications) ---
You can find the source code of this project here: github.com/pham-tuan-binh/GlaDOS-but-Ted
For the teddy bear interaction, you need to change the COM port in glados.py file and there will be a thread loop that take serial input from that COM port.
The expected serial output from any microcontroller should be a single sentence describing an action such as "Releasing left hand" or "Holding right foot".
This project couldn't be done without GLaDOS Personality Core, a project for making real life GLaDOS from the Portal series: github.com/dnhkng/GlaDOS
--- My fork of GLaDOS for Ted (with necessary modifications) ---
You can find the source code of this project here: github.com/pham-tuan-binh/GlaDOS-but-Ted
For the teddy bear interaction, you need to change the COM port in glados.py file and there will be a thread loop that take serial input from that COM port.
The expected serial output from any microcontroller should be a single sentence describing an action such as "Releasing left hand" or "Holding right foot".
มุมมอง: 1 185
วีดีโอ
I made AI agents on Mesh Radio (they can call emergency service for you)
มุมมอง 18828 วันที่ผ่านมา
- ToolCall - LLM today not only answer your questions but also execute tasks for you. This feature is called ToolCall and it can help you do stuff within a LLM model like: - Execute code - Get weather - Search google - About this demo - The demo is to present a novel use case of ToolCall deployed on a local LLM node on a Meshtastic network. It can be used to automatically call emergency service...
I made the first off-grid LLM Platform on Mesh Radio (Meshtastic)
มุมมอง 3.4K28 วันที่ผ่านมา
- Code - Github: github.com/pham-tuan-binh/radio-llm - Description - Probrably the world first LLM platform which is accessible through plain radio stack using Meshtastic. What differentiates this and other LLM interface on Meshtastic is the bundle of features including message and chat history seperation between different users message chunking. This mean the LLM would answer based on your who...
I made a 5G camera management platform and pitch it at Nokia HQ in Finland
มุมมอง 161หลายเดือนก่อน
This project was hacked in under 24 hours by me and my friend, Luke from Aalto University. It was for 5G NaC showcase at Unbreakable Connectivity hackathon by Nokia and Telia. You can find the full demo in my TH-cam Channel. Multicam footage example was a snippet of @JustinOdisho’s video on editing multicam footage th-cam.com/video/MQIj1sZEck8/w-d-xo.htmlsi=ac679xpiyLTiNwCg #nokia #telia #hacka...
This is what I pitched at Nokia HQ in Finland
มุมมอง 103หลายเดือนก่อน
This is a demo for ReSync software suite, made by me with NextJS Recoil Nokia Network-as-code SDK. Together it pairs with a TimeSync protocol made by my friend and the footage daemon, which was simulated in the video as we couldn't make it in time at the end of the hackathon.
I made an AI that predicts my weight
มุมมอง 135หลายเดือนก่อน
If you want to have a look at the code, here is the google colab for all the code in this project: shorturl.at/nydLZ If you have any idea, comment below. This is still a very early stage project and I hope to build its accuracy and use cases even more in the future. Have a gooddd time watching!
How to make a fkn good video, for amateurs
มุมมอง 1904 หลายเดือนก่อน
a video originally made to outlines the step to make a decent enough video for beginners at UpYouth Startup Ecosystem. don't copy the inconsistent lighting and color grading of this video, i hate it too, probably have to buy some light and film everything at a fixed timeframe of day. oh yeah, didn't mention audio cause meh just didn't mention it, but it's very important for a good video #cinema...
This is so awesome!
This is so cool. I wonder is there a way to improve the tone of the bear? For now it sounds so much like a robot
@@lamvu-q1z nothing that we couldn’t do with local models or hosted models, but there are tradeoffs regarding latency. If you do local models, the high quality models are going to sound extremely good but takes some time to generate. If you do online models, the round trip time is large already.
oách xà lách vô cùng
That's way too cool! Suscribed to your channel :)
Awesome! Thank you!
nice. so funny
This is sooo cooool!
Tks man!!
i want one
Let me waitlist you haha, priority line
Nice job my fellow Viet builder 👏
ngoài lề bác có thể chia sẻ cách học tiêgns anh ko ạ
Về ngữ pháp hay vốn từ thì mình học từ các trung tâm dạy tiếng anh từ bé (lớp 6) đi theo giáo trình cambridge, r lên cấp 3 mình đi học các trung tâm dạy ielts để luyện thi. Cái này mình nghĩ bây giờ có thể tự học miễn phí được, nếu cố gắng. Còn về phát âm, nói chuyện và đọc thì mình sử dụng và nghe tiếng anh hàng ngày, cũng từ tầm lớp 6 do mình hay vọc trên các forum nước ngoài và xem youtube. Mình nghĩ chỉ cần ứng dụng và tập kĩ năng nhiều là được, để nói được như này mình mất tầm 6-7 năm.
Good job bro 🥰
Tks bro 🫶
Amazing
Tks man 🫶
Fan TASTIC
you planning to make a full episode of this (not just a short) soon?
@@lamvu-q1z probably not, long form high quality interviews requires tons of time, otherwise it would be like a weird podcast, but if lots request for it, i couldn’t see why not what would you like to be answered in a full episode?
@ mostly about how he solved the problem, the mental process behind this solution. I'm truly impress with the UX of the app, would love to know more how he discovered the missing pieces in other apps and turned them into working feature/experience
Awesome video, good work! It is cool to see people finding new ways to use this, however it is "Mesh-tastic" lol Need more height and better antennas to increase that distance!
Thank you for a great meeting dude!
Thank you as well, you did wonders for the first time on tape dude!
HOLY THIS IS INSANEEEEEEEEEEE
@@goodgamist5113 glad u like it!
So cool! Well done! 🎉
@@insanity54 tks man, glad u like it 🫶
wow thats fast! super cool
Đỉnh quá bro
@@paxle cảm ơn bro!
You should ad the open ai tool. Process the message with OpenAI api.
@@Flowglowlow support for Gemini and ChatGPT was actually in the first version, but as i developed it further and use more platform features like tools, it’s harder to maintain and debug multiple providers at once so i just went with local for now, but i will look into other options soon, perhaps something that let you configure between different llms, both offline and online
Applications / Services over meshtastic is a cool idea. My college's amateur radio club has been helping our sommunity build a mesh over the last year and I'll have to show them this.
@@sethproaps8899 That’s great to hear, you’ll find even more new features in the github as well, i think it will be perfect for your use case The platform now supports functionalities like a discord bot i.e calling /command to do stuff + allows llms to use tools by themselves.
Subbed, deserves more views! Would love to see a reticulum implementation of this!
@@HotMicSystems thanks man! Glad u like it, I just know about reticulum today, will look into it, sounds fun
Brother needs to lay off the adderal, THATS INSANITY!
@@doktorphlog2143 😂 I wish, glad u like it
Very cool idea! I have to try this myself some day.
Great work. Btw coverage of meshtastic network is highly dependent on antennas and reasonably free fresnell zone between them. If you have clear line of sight between antennas, both on the hills or high building, range can be tens of kilometres. When I took my meshtastic to hike in the mountains, I received messages from nodes 40km away when I was on the top at altitude 1200m
@@skopyhoTechChannel glad u like it! Definitely, I’ll try the setup with clear line of sight next (from a mountain top in Budapest), hoping I can reach the same distance as you
Really cool experiment!
@@levisorenson7873 ty glad u like it!
Great work!
@@afk1448 tks man, glad u like it!
Thats great creative technology mahn...very innovative
@@otisrancko ty glad u like it!
thấy trên facebook, bèn sub luôn ạ
@@vl30.7 cảm ơn bác 😁
Congrats ❤🎉. You beat me to the punch with this project. Much success with this great new project as it 🚀🚀
@@BetterThanTV888 ty! Hope I didn’t stop you from making your own, would be great to see your implementation as well
it’ll be amazing all the things our digital agent will do on our behalf-
Very interesting idea Binh, keep it up. Subbed!
@@tungdinh4114 thank you anh!
This is really cool! I would love to try this myself but it is the first time I hear about meshtastic, which lilygo devices are you using? Thanks and great video
@@Lordcomets tks bro! I’m using their lora v2.1-1.6, it’s pretty bare-bone and probably the cheapest but it works
@@build_with_binh well I got 2 t3s3 and tried it, your code works very well!
Cool way to bring all these new technologies together!
@@coldbelowfroze tks man!
Looks awesome bro, stubbed 😊
@@HelloCorbra tks man!
Having access to basic fire safety, first aid, emergency options, shelter, food etc being able to be broadcasted is a god send.
@@kristopherleslie8343 definitely, the use cases are endless
@ going to prepare one for myself locally then expand
Um yea this is dope af. Thank you!
This is a fantastic idea! Great use case for this too!
@@seansorensen14 🫶 tks, glad u like it
đẳng cấp vl
This is so cool brother. Can't wait to see this to become a real product
@@lamvu-q1z tks bro! I hope so too, will work on more features
This is awesome! I had a similar idea recently, but you beat me to it! I still plan on building this out through. Great video man! Keep it up
Tks man! Hope to see your setup soon.
nice
Tks man!
What differentiates this and other implementations is the fact that is an actual platform, instead of a plain LLM. Conversation with my node is memorized and separated between users. So if multiple people were using this node, no information leakage is going to happen. Another special feature is the LLM is also given sensor data and node information. Therefore, each conversation is catered to the node which is talking to it. The last is message chunking, which I mentioned at the end of the video. For large message, the system is going to divide it automatically and send them out as sentences. However, messages didn’t get assembled in the right order due to the nature of Meshtastic, it was kinda a hit or miss.
I thinl you could add special token represent order of sentences or chunks by number then resemble them on receiver endpoint
@ yup, that was what i was thinking as well, will have to fork meshtastic client and add such feature i’ll possibly add a fake streaming as well, 200 char chunk + stream animation to make it look like an actual word stream
So its like a microbit
I guess I just made my own microbit from scratch haha 😂
This is great 👌👌
@@fampullepu-sk8pu 😊 thank you
top notchhhhhhhhhhhh
Doing good man keep it up❤️
Appreciate it man