DeepSeek Unveils New AI Reasoning Technique

DeepSeek introduces a breakthrough in Artificial Intelligence reasoning with its innovative reward modeling approach.

DeepSeek has announced a new technique in artificial intelligence reasoning, utilizing a method known as reward modeling. This approach aims to guide large language models (LLMs) towards aligning with human preferences more effectively.

The company´s latest models, known as DeepSeek-GRM, have successfully integrated this reward modeling, enhancing the models´ abilities to understand and replicate human-like decision-making processes. This development marked a significant step forward in AI research, promising more intuitive and human-aligned AI interactions.

Experts believe this advancement could set a new standard in AI development, offering potential applications in various fields that rely on human-AI collaboration. DeepSeek´s approach could pave the way for more adaptable and responsive AI systems, reshaping how artificial intelligence interfaces with human-driven processes.

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Impact Score

SoftBank and AMD validate GPU partitioning for artificial intelligence workloads

SoftBank and AMD are jointly validating a GPU partitioning system for AMD Instinct accelerators that allows a single chip to run multiple artificial intelligence workloads in parallel, tuned to each model’s resource needs. The work targets more efficient use of next generation artificial intelligence infrastructure amid manufacturing delays for AMD’s next Instinct generation.

Meta and Nvidia partner on large scale artificial intelligence infrastructure

Meta and Nvidia have signed a multiyear, multigenerational deal to deploy millions of Blackwell and Rubin GPUs in new hyperscale data centers optimized for training and inference workloads. The partnership brings Nvidia CPUs, GPUs and Spectrum-X networking into Meta’s long term artificial intelligence infrastructure roadmap.

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