Shivay Lamba

@HowDevelop

AI Architect & Builder - Inference, LLMs, SLMs GSoC Org Admin - Jenkins | Docker Captain | CNCF Ambassador

New Delhi

shivaylamba.me

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Shivay Lamba
@HowDevelop
Apr 8
What an amazing day! Presented a poster at @PyTorch Conference: how we optimised the RLM paper with pre-fix caching & batched Sub calls with @vllm_project And a full house for our Pytorch Conference talk on running LLMs using Executorch on Android!
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Shivay Lamba
@HowDevelop
16h
Ran the same GTA-style open-world prompt through three models: Kimi K3, GLM 5.3 Flash and @ClaudeDevs Fable 5.1. Rules: one HTML file, zero assets, everything procedural. Streets, traffic, pedestrians, day-night, enter a car and drive. Fable 5.1 nailed it in one go. No fixes,
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Shivay Lamba
@HowDevelop
Aug 31
Ran @Zai_org GLM 5.3 Flash and @Kimi_Moonshot K3 on the same task: build a GTA-style procedural open-world city in one HTML file. Zero assets, everything generated from code. GLM 5.3 Flash shipped more of the world, traffic lights, crosswalks, pedestrians on the sidewalk, seeded
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Shivay Lamba
@HowDevelop
Aug 31
Ran @Zai_org GLM 5.3 Flash and @Kimi_Moonshot K3 on the same task: build a GTA-style procedural open-world city in one HTML file. Zero assets, everything generated from code. GLM 5.3 Flash shipped more of the world, traffic lights, crosswalks, pedestrians on the sidewalk, seeded
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Shivay Lamba
@HowDevelop
Aug 27
Hugging Face to Hugging GPUs 😅
Nvidia has been in talks to acquire Hugging Face for more than $13 billion
From businessinsider.com
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Shivay Lamba
@HowDevelop
Aug 8
One of the reasons why RLMs are great: @PrimeIntellect Agent uses RLMs for long running agent tasks and not lose context. Glad to have presented an extension of RLM research at @PyTorch Conference with @rudrakshkarpe. Lots of companies today use RLMs primeintellect.ai/blog/prime-age…
Shivay Lamba
@HowDevelop
Apr 8
What an amazing day! Presented a poster at @PyTorch Conference: how we optimised the RLM paper with pre-fix caching & batched Sub calls with @vllm_project And a full house for our Pytorch Conference talk on running LLMs using Executorch on Android!