Ashutosh Anand

326 posts

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Ashutosh Anand

Ashutosh Anand

@loopassembly

........

Mars Tham gia Kasım 2020
268 Đang theo dõi189 Người theo dõi
Shreyansh
Shreyansh@shreyg258·
Some personal news: I’m incredibly stoked to join the team at @vibecodeapp_ as a Forward-Deployed Engineer! 🚀 Going to be spending my time deeply embedded with users, shipping features, and debugging production issues. Thanks @anshnanda for the opportunity. Back to building! 💻🤝
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Fish Audio
Fish Audio@FishAudio·
Today we launch Fish Audio S2, a new generation of expressive TTS with absurdly controllable emotion. - open-source - sub 150ms latency - multi-speaker in one pass Real freedom of speech starts now 👇
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Shreyansh
Shreyansh@shreyg258·
@himanshustwts What a day, but how do I even run it, I am on a mac with 16gb ram and 512gb SSD😞
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Pratyush Kumar
Pratyush Kumar@pratykumar·
📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages. Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - sarvam.ai/blogs/sarvam-3…
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prajna
prajna@royyalapulao·
chennai is such a nice city, just doesn't have enough PR on twitter
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Dheemanth Reddy
Dheemanth Reddy@Dheemanthredy·
Excited to share: Maya is now one of the top AI apps. A voice-native interface to frontier AI. Entirely through voice. Built for the global majority. One of the deepest penetrated products. Available in Hindi, Indonesian, Malay and growing.
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Nathan Lambert
Nathan Lambert@natolambert·
OpenAI's GPT OSS is still insanely underrated as a highly adopted open LLM. Downloads are out of control.
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Luke
Luke@lukecodez·
Which IDE is this ?
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👋 Jan
👋 Jan@jandotai·
Jan-v2-VL-Max-Instruct is out on chat.jan.ai 💛 Our newest 30B vision-language model, extending the Jan-v2-VL family. This is our experiment bringing interleaved reasoning to an Instruct model. It handles long tasks well and stays on track when things get complicated. Good for research, multi-step problems, anything that needs patience. Try it now at chat.jan.ai
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Ashutosh Anand
Ashutosh Anand@loopassembly·
Progress isn’t always smooth, but it’s always visible :-
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Nalin
Nalin@nalinrajput23·
What code editor deserves the last spot?
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vLLM
vLLM@vllm_project·
Diffusion serving is expensive: dozens of timesteps per image, and a lot of redundant compute between adjacent steps. ⚡vLLM-Omni now supports diffusion cache acceleration backends (TeaCache + Cache-DiT) to reuse intermediate Transformer computations — no retraining, minimal quality impact! 🚀Benchmarks (NVIDIA H200, Qwen-Image 1024x1024): TeaCache 1.91x, Cache-DiT 1.85x. For Qwen-Image-Edit, Cache-DiT hits 2.38x! Blog: blog.vllm.ai/2025/12/19/vll… Docs: docs.vllm.ai/projects/vllm-… #vLLM #vLLMOmni #DiffusionModels #AIInference
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Ashutosh Anand
Ashutosh Anand@loopassembly·
Honestly impressed by @ViCustomerCare 🙌 In remote areas where Airtel & Jio struggle even for a call, VI is delivering solid internet speeds. Cities may complain, but rural performance deserves credit. Great work, VI!
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