Stochastic Research
Stochastic Research
As cutting-edge large language models (LLMs) continue to transform various industries, their fast-growing model size and sequence length have led to memory traffic and capacity challenges…
Dec 15th, 2024
As cutting-edge large language models (LLMs) continue to transform various industries, their fast-growing model size and sequence length have led to memory traffic and capacity challenges…
Dec 15th, 2024
As cutting-edge large language models (LLMs) continue to transform various industries, their fast-growing model size and sequence length have led to memory traffic and capacity challenges…
Dec 15th, 2024
Balancing accuracy and hardware efficiency remains a challenge with traditional pruning methods. N:M sparsity is a recent approach offering a compromise, allowing up to N non-zero weights…
Aug 5th, 2024
Balancing accuracy and hardware efficiency remains a challenge with traditional pruning methods. N:M sparsity is a recent approach offering a compromise, allowing up to N non-zero weights…
Aug 5th, 2024
Balancing accuracy and hardware efficiency remains a challenge with traditional pruning methods. N:M sparsity is a recent approach offering a compromise, allowing up to N non-zero weights…
Aug 5th, 2024
Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs…
June 29th, 2024
Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs…
June 29th, 2024
Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs…
June 29th, 2024
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations…
May 5th, 2024
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations…
May 5th, 2024
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations…
May 5th, 2024
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal…
May 5th, 2024
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal…
May 5th, 2024
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal…
May 5th, 2024
We introduce a method that dramatically reduces fine-tuning VRAM requirements and rectifies quantization errors in quantized Large Language Models…
June 13th, 2023
We introduce a method that dramatically reduces fine-tuning VRAM requirements and rectifies quantization errors in quantized Large Language Models…
June 13th, 2023
We introduce a method that dramatically reduces fine-tuning VRAM requirements and rectifies quantization errors in quantized Large Language Models…
June 13th, 2023
Generating texts with a large language model (LLM) consumes massive amounts of memory. Apart from the already-large model parameters…
June 09th, 2023
Generating texts with a large language model (LLM) consumes massive amounts of memory. Apart from the already-large model parameters…
June 09th, 2023
Generating texts with a large language model (LLM) consumes massive amounts of memory. Apart from the already-large model parameters…
June 09th, 2023
While research in the field of transformer models has primarily focused on enhancing performance metrics such as accuracy and perplexity, practical applications in industry…
Sep 25th, 2022
While research in the field of transformer models has primarily focused on enhancing performance metrics such as accuracy and perplexity, practical applications in industry…
Sep 25th, 2022
While research in the field of transformer models has primarily focused on enhancing performance metrics such as accuracy and perplexity, practical applications in industry…
Sep 25th, 2022
The proliferation of personal artificial intelligence (AI) -assistant technologies with speech-based conversational AI interfaces is driving the exponential growth in the consumer …
June 06th, 2022
The proliferation of personal artificial intelligence (AI) -assistant technologies with speech-based conversational AI interfaces is driving the exponential growth in the consumer …
June 06th, 2022
The proliferation of personal artificial intelligence (AI) -assistant technologies with speech-based conversational AI interfaces is driving the exponential growth in the consumer …
June 06th, 2022
Bayesian machine learning is useful for applications that may make high-risk decisions with limited, noisy, or unlabeled data, as it provides great data efficiency and uncertainty estimation…
May 17th, 2022
Bayesian machine learning is useful for applications that may make high-risk decisions with limited, noisy, or unlabeled data, as it provides great data efficiency and uncertainty estimation…
May 17th, 2022
Bayesian machine learning is useful for applications that may make high-risk decisions with limited, noisy, or unlabeled data, as it provides great data efficiency and uncertainty estimation…
May 17th, 2022
Automatic speech recognition (ASR) using deep learning is essential for user interfaces on IoT devices. However, previously published ASR chips [4-7] do not consider realistic…
March 3rd, 2022
Automatic speech recognition (ASR) using deep learning is essential for user interfaces on IoT devices. However, previously published ASR chips [4-7] do not consider realistic…
March 3rd, 2022
Automatic speech recognition (ASR) using deep learning is essential for user interfaces on IoT devices. However, previously published ASR chips [4-7] do not consider realistic…
March 3rd, 2022
AI agents that think like humans, only faster
AI agents that think like humans, only faster
AI agents that think like humans, only faster