Jato Joseph

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Jato Joseph

Jato Joseph

@iamliljay0

AI | DevOps Engineer building https://t.co/n8AUutga2v

Kigali, Rwanda Katılım Temmuz 2016
930 Takip Edilen190 Takipçiler
Jato Joseph
Jato Joseph@iamliljay0·
Using AI coding agents? Start using Git Worktrees. Run your agent on one feature while you debug another; all from the same repository. ✅ Parallel development ✅ No extra clones ✅ No stash headaches One repo. Multiple workspaces. #Git #AIEngineering #DevOps
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Manisha Mishra
Manisha Mishra@manishamishra24·
Learn AI for free directly from top companies. 1 - Anthropic: anthropic.skilljar.com 2 - Google: grow.google/ai 3 - Meta: ai.meta.com/resources/ 4 - NVIDIA: developer.nvidia.com/cuda 5 - Microsoft: learn.microsoft.com/en-us/training/ 6 - OpenAI: academy.openai.com 7 - IBM: skillsbuild.org 8 - AWS: skillbuilder.aws 9 - DeepLearning.AI: deeplearning.ai 10 - Hugging Face: huggingface.co/learn 👇Comment "Learning" if you find this helpful. Repost so others can take help. Must bookmark for future reference.
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Shruti Codes@Shruti_0810

x.com/i/article/2046…

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Claude
Claude@claudeai·
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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Nainsi Dwivedi
Nainsi Dwivedi@NainsiDwiv50980·
Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License
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Akin Olaoye
Akin Olaoye@akintollgate·
Solar Panel & Inverter vendors. Please share your prices & locations, we need to get more Nigerians off generators. I will retweet! 🙏🏾🙏🏾
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Jato Joseph
Jato Joseph@iamliljay0·
@GO54_hq has got to do a master class for businesses on how to do this Customer Care Support thing. 👏👏 I’m simply a satisfiedcustomer that can’t hold his joy 🤩
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Elon Musk
Elon Musk@elonmusk·
High time for an AI fashion show
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Best in Data Engineering
Best in Data Engineering@jennifer_ebe·
While people were finding love, I was creating a course for you😃 My course ETL in Python and SQL is now live on LinkedIn Learning It’s a very hands-on course that explains what ETLs are and how to create and automate them. Go check it out - bit.ly/3IBnTK1 Kindly RT
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Jato Joseph
Jato Joseph@iamliljay0·
Happy birthday to myself.
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HostSpace Cloud Solutions
HostSpace Cloud Solutions@hostspaceng·
As you face the challenges and celebrate the victories of this month, remember that we're rooting for you, take a deep breath, and embrace the new opportunities it brings. Encourage those around you, share your experiences, and learn from others. Remember, No gree for anybody!
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Jato Joseph
Jato Joseph@iamliljay0·
99.99% of the issues you will experience while working in a cloud environment will bg e around roles & permissions 😢 Nothing person want tell me😕
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