Forwarded from only jerk (Mohammed)
hey guys hopefully everyone had a pleasing day/evening.
If you're currently working on that "one last feature" I suggest you finish it up and get rested.
You have a great day full of challenges and mysteries ahead of you tomorrow and the best way approach it by having a good night sleep.
So if you're on social media scrolling, 120% stop that and instead listen to a podcast or watch a movie instead (best option: read a book).
DO NOT SCROLL BEZI SAET π«
I'm wishing you a pleasant rest, see you tomorrow πβ€οΈ
If you're currently working on that "one last feature" I suggest you finish it up and get rested.
You have a great day full of challenges and mysteries ahead of you tomorrow and the best way approach it by having a good night sleep.
So if you're on social media scrolling, 120% stop that and instead listen to a podcast or watch a movie instead (best option: read a book).
DO NOT SCROLL BEZI SAET π«
I'm wishing you a pleasant rest, see you tomorrow πβ€οΈ
β€3
Tech Yada
anytime ende
we truly and sincerely thank you from the bottom of our hearts for your efforts in giving us the opportunity to improve. Truly, keep up the great work, stay strong and keep moving forward.β€
β€5
Forwarded from Chapi Dev Talks
Hohe ASR now ships with the server we run ourselves, and it is open.
Three commands and you have Amharic speech to text running on your own machine. No GPU, no account, no API key, nothing to sign.
The image fetches the weights from Hugging Face itself and serves on ordinary processor cores. On a clean machine we timed it end to end: built from nothing, model loaded in 6.8 seconds, a 6 second Amharic clip transcribed in 1.1.
It streams too. Long audio is cut at its quietest moments and the text comes back in pieces as it works, rather than all at the end.
Also in the repository: exactly how we deploy it on AWS spot behind a load balancer, and the full speed measurements behind every number we have published, so you can check them instead of trusting them.
Model, CC BY 4.0: huggingface.co/snapwre/hohe-asr-amharic
Server: github.com/snapwre/hohe-serve
Try it without installing: t.me/dataset_ai_bot
Three commands and you have Amharic speech to text running on your own machine. No GPU, no account, no API key, nothing to sign.
git clone https://github.com/snapwre/hohe-serve && cd hohe-serve
docker build -t hohe-asr . && docker run --rm -p 8080:8080 hohe-asr
curl -F audio=@clip.ogg http://localhost:8080/transcribe
The image fetches the weights from Hugging Face itself and serves on ordinary processor cores. On a clean machine we timed it end to end: built from nothing, model loaded in 6.8 seconds, a 6 second Amharic clip transcribed in 1.1.
It streams too. Long audio is cut at its quietest moments and the text comes back in pieces as it works, rather than all at the end.
Also in the repository: exactly how we deploy it on AWS spot behind a load balancer, and the full speed measurements behind every number we have published, so you can check them instead of trusting them.
Model, CC BY 4.0: huggingface.co/snapwre/hohe-asr-amharic
Server: github.com/snapwre/hohe-serve
Try it without installing: t.me/dataset_ai_bot
GitHub
GitHub - snapwre/hohe-serve: Hohe ASR as a service: Amharic speech to text on ordinary processors, no GPU
Hohe ASR as a service: Amharic speech to text on ordinary processors, no GPU - snapwre/hohe-serve
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Forwarded from Programmer β¨οΈ
π¨ Guide To Better UI Generation
Google released a detailed guide on improving generated interfaces. It covers practical tips and prompts that can be applied directly to a project, from typography to individual UI elements.
βοΈ Typography and visual hierarchy
βοΈ Prompts for improving generated interfaces
βοΈ Design guidance for individual elements
βοΈ Step-by-step UI improvement advice
π Link π
Use the prompts and recommendations as a checklist when refining an interface.
π» @program
Google released a detailed guide on improving generated interfaces. It covers practical tips and prompts that can be applied directly to a project, from typography to individual UI elements.
Use the prompts and recommendations as a checklist when refining an interface.
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β€3
Forwarded from Luna's pathwayπ€ (Luna)
Things people need to know when they start their career path
βΊ Work for yourself, even when you work for someone else. Your salary pays you; your skills build you.
βΊ Pivoting is normal. 21, 28, 30, 45 itβs never too late to learn and change direction.
βΊ You don't need to stay at one company forever, but leaving every 4β6 months repeatedly can raise questions about your stability.
βΊ Define your role before others define it for you. Study people who are excellent at it. Read. Learn the standard. Build your own.
βΊ Not everyone is your mentor. Don't take every opinion as guidance. Find people who truly understand your journey.
βΊ Don't confuse being busy with creating value.
Build your reputation, not just your rΓ©sumΓ©.
βΊ Understand the business, not only your job.
βΊ Document what you built, solved, improved, and learned.
βΊ Your title is not your capability. Build the capability first.
βΊ Stop comparing timelines. Careers are not linear.
βΊ Keep learning even when nobody is watching.
Your career is yours. Build it intentionally.
Build your reputation, not just your rΓ©sumΓ©.
Your career is yours. Build it intentionally.
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π2
Just letting everyone know we got gbi safe! Thanks for everything today, love you all!
β€4
Forwarded from TechVibe
Btw guys, I forgot to mention
Thereβs a mobile dev Intern position at our company right now. If youβre good at what you do, thereβs a chance you can turn it into a full-time position.
If youβre interested, donβt miss it DM me with your cv @alnova19
@devwitheyob
#opportunities #intern
Thereβs a mobile dev Intern position at our company right now. If youβre good at what you do, thereβs a chance you can turn it into a full-time position.
If youβre interested, donβt miss it DM me with your cv @alnova19
@devwitheyob
#opportunities #intern
β€2
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One of the biggest challenges I face:
when trying to watch educational videos on YouTube is spending hours watching them only to realize I didn't get what I was looking for.
Additionally, when a video has 2,000 or 3,000+ comments, itβs very difficult to read through them to understand what viewers are saying about whether the video is actually good or bad.
To solve this, I built VideoTrust AI Chrome extension that analyzes the video and tells you whether to watch it or not.
It reads through the comments, checks every detail, determines what the video is truly about, and assigns a Trust Score:
70 β 100: Watch it
45 β 69: Maybe
0 β 44: Skip
It explains everything clearly for each video. I've built and tested this extension. give me your feedback!
@Techyada21
when trying to watch educational videos on YouTube is spending hours watching them only to realize I didn't get what I was looking for.
Additionally, when a video has 2,000 or 3,000+ comments, itβs very difficult to read through them to understand what viewers are saying about whether the video is actually good or bad.
To solve this, I built VideoTrust AI Chrome extension that analyzes the video and tells you whether to watch it or not.
It reads through the comments, checks every detail, determines what the video is truly about, and assigns a Trust Score:
70 β 100: Watch it
45 β 69: Maybe
0 β 44: Skip
It explains everything clearly for each video. I've built and tested this extension. give me your feedback!
@Techyada21
π4
π» 100 Days Coding Roadmap ππ¨βπ»
π Days 1β10: Programming Basics
β Choose a language: Python / JavaScript / C++
β Learn syntax, variables, loops, conditionals
β Write basic programs & challenges
π Days 11β20: Data Structures
β Arrays, Lists, Stacks, Queues
β Practice using built-in methods
β Start solving problems on LeetCode or Codeforces
π Days 21β30: Algorithms Fundamentals
β Sorting: Bubble, Merge, Quick
β Searching: Binary, Linear
β Time & space complexity (Big O notation)
π Days 31β40: Object-Oriented Programming
β Classes, Objects, Inheritance, Polymorphism
β Apply OOP to build small real-world projects
π Days 41β50: Intermediate DSA
β HashMaps, Sets, Linked Lists
β Recursion, Backtracking basics
β Solve 50+ problems for logic building
π Days 51β60: Advanced DSA
β Trees, Graphs, Heaps, Tries
β Dynamic Programming intro
β Participate in contests (CodeChef, HackerRank)
π Days 61β70: Web Basics (HTML/CSS/JS)
β Build portfolio website
β Learn responsive design
β DOM manipulation with JavaScript
π Days 71β80: Backend + APIs
β Learn Node.js / Django / Flask
β Create REST APIs, connect with frontend
β Use databases like MongoDB / MySQL
π Days 81β90: Projects & GitHub
β Build 2β3 full-stack apps
β Use Git, GitHub, README files
β Deploy apps (Netlify, Vercel, Render)
π Days 91β100: Interview & Capstone
β Revise top 100 DSA patterns
β Mock interviews, resume prep
β Complete one big project and publish it
@Techyada21
#From_fb
π Days 1β10: Programming Basics
β Choose a language: Python / JavaScript / C++
β Learn syntax, variables, loops, conditionals
β Write basic programs & challenges
π Days 11β20: Data Structures
β Arrays, Lists, Stacks, Queues
β Practice using built-in methods
β Start solving problems on LeetCode or Codeforces
π Days 21β30: Algorithms Fundamentals
β Sorting: Bubble, Merge, Quick
β Searching: Binary, Linear
β Time & space complexity (Big O notation)
π Days 31β40: Object-Oriented Programming
β Classes, Objects, Inheritance, Polymorphism
β Apply OOP to build small real-world projects
π Days 41β50: Intermediate DSA
β HashMaps, Sets, Linked Lists
β Recursion, Backtracking basics
β Solve 50+ problems for logic building
π Days 51β60: Advanced DSA
β Trees, Graphs, Heaps, Tries
β Dynamic Programming intro
β Participate in contests (CodeChef, HackerRank)
π Days 61β70: Web Basics (HTML/CSS/JS)
β Build portfolio website
β Learn responsive design
β DOM manipulation with JavaScript
π Days 71β80: Backend + APIs
β Learn Node.js / Django / Flask
β Create REST APIs, connect with frontend
β Use databases like MongoDB / MySQL
π Days 81β90: Projects & GitHub
β Build 2β3 full-stack apps
β Use Git, GitHub, README files
β Deploy apps (Netlify, Vercel, Render)
π Days 91β100: Interview & Capstone
β Revise top 100 DSA patterns
β Mock interviews, resume prep
β Complete one big project and publish it
@Techyada21
#From_fb
β€2π1
"... α αα΅αα ααα΅α α¨αα° α€ α αα΅αα αα΅ααα΅α α α°α¨α α€ αα΅αα α¨αα α αα αα α€ α₯αα±α α°αΈααα α₯ααααα΅ ..."
α₯αα³α α α°α¨α³α½α
@Techyada21
α₯αα³α α α°α¨α³α½α
@Techyada21
β€4π2
Slop UI is the UI that AI cooks up that looks off, where itβs not supposed to be, doesnβt serve a purpose or when a UI is too generic
@Techyada21
@Techyada21
π2
Forwarded from Dagmawi Babi πͺπΉ
Been thinking about this lots and I think these are the primitives you need to build any of the latest AI powered products (Chatbots, agents...)
At it's super core, you just need the interface, model and harness. Personalizations, autonomy and safety are more of an improvement/advancement layer than a core foundation, they mostly allow you to build a more agentic system.
So pick any interface you're comfortable working with (site, app, bot, CLI), pick a model router (ScholarXIV router, Vercel AI Gateway, OpenRouter), and then start building the harness β which is basically making the AI model work smoothly in the interface of your choice. Think of the harness as a workstation for the model selected, it gives it resources and tools.
The advancement layers are mostly compliance and better UX changes. The more secure the product is, the more time you'll spend using it and the more context aware it is the smoother the experience is. So safety and personalization are the cherry on top.
#Thoughts
@Dagmawi_Babi
At it's super core, you just need the interface, model and harness. Personalizations, autonomy and safety are more of an improvement/advancement layer than a core foundation, they mostly allow you to build a more agentic system.
So pick any interface you're comfortable working with (site, app, bot, CLI), pick a model router (ScholarXIV router, Vercel AI Gateway, OpenRouter), and then start building the harness β which is basically making the AI model work smoothly in the interface of your choice. Think of the harness as a workstation for the model selected, it gives it resources and tools.
The advancement layers are mostly compliance and better UX changes. The more secure the product is, the more time you'll spend using it and the more context aware it is the smoother the experience is. So safety and personalization are the cherry on top.
#Thoughts
@Dagmawi_Babi
π₯2
github_url_tricks_cheatsheet.pdf
24.2 KB
Hey fam, Hereβs the GitHub Tricks cheatsheet
Hope you find it useful!
share this someone who wants
@TechYada21
#github #gitTricks
Hope you find it useful!
share this someone who wants
@TechYada21
#github #gitTricks
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