Innovate with Seed

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Innovate with Seed

Innovate with Seed

@SeedTechCmr

Skills Enhancement and Empowerment through Digitization🌱 Our goal is Nurturing the Next Generation of Tech Talent🚀 Building Local to Global Tech solutions🌍

Bamenda - Cameroon Katılım Kasım 2024
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Innovate with Seed
Innovate with Seed@SeedTechCmr·
Skills Enhancement and Empowerment through Digitization Empowering the Society through Tech Education & Solutions We're a tech startup offering IT education & partnering with communities to develop tech solutions for local challenges.
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ZIGEX
ZIGEX@zigex237·
Good morning Techies🫶🏿 13 days left. Every great move starts before the moment arrives. The clock is ticking. Did you know (April 4 – Tech History): On April 4, 1975, Microsoft was founded by Bill Gates and Paul Allen. Register now: zigexconnect.com/feed/seed-50-d…
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Fonyuy Gita 🐳🇨🇲🇨🇲
Start with PostgreSQL + Redis for most applications. Add MongoDB if your schema truly requires flexibility. Add Elasticsearch when search is a first-class product feature.
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Mindset Machine 
Mindset Machine @mindsetmachine·
This guy literally explained why some people become successful while others stay average.
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Fonyuy Gita 🐳🇨🇲🇨🇲
Richard Stallman: Hey MIT (@MIT), can have the copy of the source code? MIT: Hey, I promise not to give you the copy of the source code, thanks to whoever said this🙏🏻
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Nav Toor
Nav Toor@heynavtoor·
🚨 BREAKING: Someone just made 70B parameter models run on a single 4GB GPU. It's called AirLLM. No quantization. No distillation. No pruning. Just raw 70B inference on hardware that costs less than a dinner. You can even run Llama 3.1 405B on 8GB VRAM. Here's how it works: → Decomposes the model layer-by-layer → Loads only one layer into GPU memory at a time → Runs inference, moves to the next layer → Prefetches the next layer while computing the current one → Supports 4-bit and 8-bit compression for 3x speed boost No cloud API. No $10K GPU. Just pip install airllm and go. Here's the wildest part: It supports almost every major model — Llama, Qwen, Mistral, ChatGLM, Baichuan, InternLM — and it auto-detects the model type. One line of code to load. One line to generate. Works on Linux, macOS (Apple Silicon), and even Google Colab free tier. Your old gaming laptop can now run the same models that needed an A100. 100% Open Source. Apache 2.0 License.
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Innovate with Seed
Innovate with Seed@SeedTechCmr·
The iconic space for Deep Learning engineers. Building brilliance. 👷‍♀️ one 🌱 at a time.
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Innovate with Seed
Innovate with Seed@SeedTechCmr·
Happy Weekend From Seed. we.... plant->Nurture->Harvest. one 🌱 at a time
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Stats Globe
Stats Globe@statsglobe·
People who Failed before Success: 🇺🇸 Elon Musk – Nearly bankrupt 🇺🇸 Henry Ford – Failed twice early 🇯🇵 Soichiro Honda – Rejected by Toyota 🇺🇸 Steve Jobs – Fired from Apple 🇮🇹 Enzo Ferrari – Early racing struggles 🇪🇸 Amancio Ortega – Early fashion failed 🇺🇸 Bill Gates – First company failed 🇺🇸 Colonel Sanders – Rejected 1,000+ times 🇳🇬 Aliko Dangote – Early business deals collapsed 🇿🇦 Patrice Motsepe – Failed mining ventures early 🇺🇸 Walt Disney – Fired for “lack of imagination” 🇫🇷 Bernard Arnault – Early proposals rejected 🇨🇳 Ma Huateng – Early ventures failed 🇺🇸 Oprah Winfrey – Fired from TV 🇺🇸 Jeff Bezos – Amazon lost money 🇯🇵 Akio Morita – Rejected by banks 🇨🇳 Jack Ma – Rejected 30+ times 🇺🇸 Michael Jordan – Cut from high school 🇮🇳 Dhirubhai Ambani – Petrol attendant start
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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
If I have to pick ONLY FIVE Courses to learn AI & ML from scratch, ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - DL ❯ CS234 - RL ❯ CS336 - LLM These courses could cost $100K. But Stanford is offering these for FREE on YouTube:
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ZIGEX
ZIGEX@zigex237·
🚀 BIG NEWS from Bamenda! Traitz Tech has officially joined forces with Zigex to empower the next gen of tech talents! Together, we're unlocking real internships, skills, and opportunities in Cameroon's Silicon Valley. Who's ready to level up? 🔥 #tech #internships
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God of Prompt
God of Prompt@godofprompt·
R.I.P. basic prompting. MIT just dropped a technique that makes ChatGPT reason like a team of experts instead of one overconfident intern. It’s called “Recursive Meta-Cognition” and it outperforms standard prompts by 110%. Here’s the prompt (and why this changes everything) 👇
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