What Quantum computing can do ?
Quantum computing 🖥️ is going to change the way tech companies operate.
It will reduce 🔻 many costs and do complex calculation faster than anything else. Recently in a big shift Amazon introduced quantum computing
Revolutionizing AI with Inference-Time Scaling: OpenAI's o1 Model"
Inference-time Scaling: Focuses on improving performance during inference (when the model is used) rather than just training.
Reasoning through Search: The o1 model enhances reasonin
NVIDIA- THE DOMINANT FORCE
1. NVIDIA is a leading force in AI and GPU technology.
2. Their GPUs, like the H100 Tensor Core, are critical for AI development, including training models like ChatGPT.
3. NVIDIA's stock has surpassed a $1 trillion ma
OpenAI has for months been working with Broadcom to create an AI chip for running models, which could arrive as soon as 2026, reports Reuters. Meanwhile, OpenAI plans to use AMD chips through Microsoft's Azure cloud platform for model training.
1 replies3 likes
Om Raut
"Entrepreneurial lea... • 1m
Will AI hit a wall? 🤔
Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data?
What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️
2 replies6 likes
Jainil Prajapati
Turning dreams into ... • 2m
India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross.
Is this the right strategy for India to lead in AI innovation? Thoughts?
2 replies3 likes
Vaibhav Babruwan Shingde
Student • 1y
Let's Start With Today's Topic :
How AI Chips Work , Uses , Companies Working On It?
° How AI Chips Work?
•Large arrays of specialized processing cores for AI operations.
•High-speed on-chip memory for storing AI models and data.
•Fast interconn
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0 replies8 likes
Haran Naresh K
Developer in trainin... • 7m
Harnessing GPU Power with CUDA
CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p
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1 replies4 likes
Ayush Maurya
AI Pioneer • 3m
"Synthetic Data" is used in AI and LLM training !!
• cheap
• easy to produce
• perfectly labelled data
~ derived from the real world data to replicate the properties and characteristics of the rela world data.
It's used in training an LLM (LLMs