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Matrix multiplication breakthrough could lead to faster, more efficient AI models

ArstechnicaArstechnica · 1y ago
Matrix multiplication breakthrough could lead to faster, more efficient AI models
Medial

Computer scientists have made a significant breakthrough in matrix multiplication efficiency, which could have a major impact on AI models. Researchers from Tsinghua University, the University of California, Berkeley, and MIT have discovered a new algorithm that reduces the complexity exponent of matrix multiplication, bringing it closer to the theoretical minimum number of operations needed. This improvement could lead to faster training and execution times for AI models, making them more efficient and capable. While further progress and understanding of the problem are needed, this development represents the biggest improvement in matrix multiplication in over a decade.

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Researchers upend AI status quo by eliminating matrix multiplication in LLMs

ArstechnicaArstechnica · 1y ago
Researchers upend AI status quo by eliminating matrix multiplication in LLMs
Medial

Researchers have proposed a new method to run AI language models more efficiently by eliminating matrix multiplication, which is a core operation in neural networks. The study suggests that their approach could significantly reduce the environmental impact and operational costs of AI systems. The researchers developed a custom 2.7 billion parameter model without using matrix multiplication, achieving similar performance to conventional large language models. They also demonstrated running a 1.3 billion parameter model on a GPU accelerated by a custom-programmed FPGA chip, which consumed around 13 watts of power. The findings challenge the prevailing belief that matrix multiplication is essential for high-performing language models and could make large models more accessible and sustainable.

Cognizant, Nvidia tap generative AI to boost drug discoveries

Economic TimesEconomic Times · 1y ago
Cognizant, Nvidia tap generative AI to boost drug discoveries
Medial

Cognizant, a global IT services and consulting company, is utilizing generative AI (gen AI) technology in collaboration with Nvidia's BioNeMo platform to enhance drug discovery productivity and accelerate market reach in the health sciences sector. By leveraging gen AI, clinical researchers can analyze large datasets, predict drug compound interactions, and create new paths for drug development. This breakthrough technology has the potential to revolutionize the drug discovery process, making it faster and more accessible. Cognizant aims to provide clients with model-making services and pretrained models, simplifying the training and customization of enterprise models. They will establish an Nvidia AI Center of Excellence to further innovate with Nvidia technologies.

How BharatGPT’s Indic-First LLM Is Bridging Language Barriers, Empowering Enterprises

Inc42Inc42 · 1y ago
How BharatGPT’s Indic-First LLM Is Bridging Language Barriers, Empowering Enterprises
Medial

OpenAI's ChatGPT, powered by generative AI (GenAI), is a major breakthrough in natural language understanding and processing. The intelligent chatbot utilizes large language models to generate content in various formats and languages. McKinsey & Company estimates that GenAI and other technologies could automate the majority of work activities, leading to increased productivity. However, there are concerns about GenAI falling short of community expectations, as demonstrated by the limited accuracy in generating a portrait of Lord Rama. Access to information is a crucial aspect of GenAI's future, as there is a significant gap in availability of non-English content for the majority of the Indian population. OpenAI is continually working to improve the conversational abilities of its GenAI models, with claims that the upcoming GPT-4o will be faster and more natural in its responses.

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