Srishty M

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Srishty M

Srishty M

@M_Srishty

Lead @DSCnitrourkela | intern @CRED_club | @AWSCloud Club Captain | mentor SWOC | postman Student Expert| Lead @AWSugroupsk, @Autumn_of_Code| Lead @HackNITR

127.0.0.1 Katılım Temmuz 2015
1.2K Takip Edilen423 Takipçiler
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Srishty M
Srishty M@M_Srishty·
- Mommy, what are the clouds made of ? . .. - #linux servers mostly ☁️ #CloudComputing
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Srishty M
Srishty M@M_Srishty·
Prompt : Gather everything you know about me from our conversations and create an infographic. Do it in a cartoon anime style, my photo as reference. Reflect my strengths, future goals, fashion style, healing journey, my big dreams, solo traveler, soft spots, book lover, daily reminder to my self, weaknesses, philosophy, and quirks.
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Khushi Sharma
Khushi Sharma@khushiSharma_22·
We’re giving away real robotic hardware again but this time, we’re going even bigger. 🚀 40 developers will receive these robotic arms from @cyberwave_com to build and ship physical AI agents in just 4 weeks. Apply now (link in comments).
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Paludo
Paludo@LepThi5026·
@SaraDiscovers [10, 40] num.remove(20) - - > [10, 30, 40] nums.pop(1) removes 30 since python starts counting at 0 In Julia: nums = [10, 20, 30, 40] deleteat!(nums, 2) - - > [10, 30, 40] popfirst!(nums) Julia starts counting at 1 (i. e., first)
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Sara
Sara@SaraDiscovers·
Whats your output? nums = [10, 20, 30, 40] nums.remove(20) nums.pop(1) print(nums)
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Srishty M retweetledi
Arun
Arun@hiarun02·
Some people switch jobs. some people shape the industry.
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Srishty M
Srishty M@M_Srishty·
Thread 🧵 2/2 Google just launched #Gemma 4.. And the interesting parts are: ❄️ PLE aka Per Layer Embeddings .. instead of one static embedding, each layer gets its own token-conditioned signal ..so token identity + context projection. - enables per-layer specialization without blowing up params - esp useful before multimodal token merging ❄️ Shared KV cache ... later layers reuse K/V from earlier ones.. instead of recomputing..! - big win for long context + on device inference - minimal quality tradeoff #openSource #Models #Gemini #AI #ML #artificalintelligence #cache
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Srishty M
Srishty M@M_Srishty·
Guess what.. Google just launched Gemma 4.. a new series in their #opensource #models ! Thread 🧵 1/2 Available in 4 parameter sizes: E2B, E4B, 31B, n 26B (A4B) N what’s so hot about 'em? - Variable aspect ratios + configurable image tokens.. - control over speed, memory, n quality - #multimodal support wid audio support in smaller models (E2B, E4B) - Feels like they’re optimizing for real deployment (edge .. low VRAM) Pretty interesting direction towards efficient + multimodal #AI 👀 Read more..👇🏻 #ML #AIModels #HuggingFace
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