Hey I am on Medialย โขย 1y
If they term it as AI they mostly have OpenAI or Stabledefusion or any other LLM behind it. I only find interest in those products now that are training their own modules.
Python Developer ๐ป ...ย โขย 1y
3B LLM outperforms 405B LLM ๐คฏ Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 ๐คฏ ๐คฏ LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-
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Startups | AI | info...ย โขย 9m
๐ Key takeaway from IndiaAI Mission CEO Abhishek Singh: Indian LLM startups canโt lean on government help for too long โ they need to think GLOBAL to stand against players like OpenAI. "Govt can give a push at the start, but long-term success need
See MoreEarly Stage VCย โขย 1y
Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But
See MoreFounder of Friday AIย โขย 9m
๐จ Open AI is an Wrapper๐๐คฏ Hot take, but letโs break it down logically: OpenAI is not a full-stack AI company โ itโs a high-level wrapper over Azure and NVIDIA. Hereโs why that matters ๐ ๐น 1. Infra Backbone = Microsoft Azure Almost 90%+ of Op
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Business is an artโฃ๏ธ...ย โขย 1y
OpenAI spent millions if not billions developing and training LLMs. Same is for Google, Microsoft and Meta.. the only difference being they are releasing their LLMs now after the craze of AI is at its peak. But I don't understand how companies like K
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Co-Founder, Director...ย โขย 9m
Innovation idea, improvement, Scalability of product or service? The innovation behind Sunraise Solar lies in its unique ecosystem approach that merges clean energy solutions with education and entrepreneurship. By offering online solar training, it
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Everything about Mar...ย โขย 5m
NVIDIA isnโt just a chipmakerโitโs the brain behind the AI revolution. From powering gaming graphics to training ChatGPT-like models, NVIDIA mastered one thing: timing. While others saw GPUs as gaming tools, NVIDIA saw them as the future of computing
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