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Shradhanjali Pradhan
36 posts

Shradhanjali Pradhan
@Shradha1405
AI Engineer helping startups ship agents, automations & scalable ML infra. Built production systems across healthcare, data & AI.
Boston,MA Katılım Ocak 2023
38 Takip Edilen5 Takipçiler

@Saanvi_dhillon Atleast be realistic, it’s possible to earn money but if you’re in early stage just focus on something that will grow eventually.
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@VarunSaini_23 Hi I am into startups, working at startups and building my own ideas
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@kaaaash____ I don’t, I did use both I would prefer Windows over Mac
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@itsaaroshi Jupyter, I am a ipynb paglu😶, Even I did install Libraries and extension to run C, SQL and Java inside Jupyter Notebook😅
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@vinx_codes Senior AI/ML Engineer with 4 YOE as a Founding Engineer to startups.
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@kaaaash____ Cloud Infra, as their entire system stack is built on Linus
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@Anaya_sharma876 Learn to think in systems, not syntax.
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@zavxai For LLMs more than 64GB but to start somewhere 16GB is enough
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Came across this - @OpenAI is hosting a “vibe coding” competition on @joinHandshake .
Worth checking out if you’re experimenting with AI workflows: app.joinhandshake.com/codex-creator-…
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Hot take: Not all AI is built the same.
I lean on @ChatGPTapp for reasoning, @GeminiApp for research and @claudeai for coding.
Different models, different strengths.
Stop chasing “the best” - start using the right tool for the job 👇
@OpenAI @Google

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@togethercompute Exciting direction. Efficiency + long-context reasoning will define which AI systems scale in production. Looking forward to seeing what Together AI ships next.
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Our researchers are heading to ICLR with new work: model efficiency, long-context reasoning, next-gen attention and decoding, and more. Check out what we've been building 👇🏼
#TogetherResearch #AINativeCloud
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@svpino This feels like those life-saving hacks we used to see during COVID - now it’s all about time-saving AI hacks!🔥
CTRL+G to open the editor is such a game-changer. Writing long prompts in the terminal is painful. Thanks for sharing!
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@ritu_twts Yes, coding is still worth learning in the AI era, especially for clear interviews. AI can generate thousands of lines in one prompt, but without strong fundamentals, you can't optimize or review it properly. For low-latency and critical systems, it is needed.
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