Tech Things: Inference Time Compute, Deepseek R1, and the Arrival of the Chinese
OpenAI is improving LLM reasoning with "inference time compute." Deepseek's R1 model outperforms established models and is open-source, intensifying competition and challenging assumptions about Chinese AI capabilities.
Read original article
OpenAI has been exploring the concept of "inference time compute" to enhance the reasoning capabilities of large language models (LLMs). This approach allows LLMs to effectively "take more time" to solve problems, thereby improving accuracy. Techniques include having models show their work, using scratchpads for intermediate outputs, and running multiple reasoning threads in parallel. The competitive landscape for LLMs is intensifying, with major players like OpenAI, Google, and new entrants like the Chinese company Deepseek, which recently launched the Deepseek R1 model. This model reportedly outperforms existing models from Meta and Anthropic, as well as OpenAI's O1, and is available as open-source. The emergence of Deepseek challenges the assumption that Chinese models would lag behind their Western counterparts. The company, which is not primarily an AI firm but a quant hedge fund, has managed to produce a competitive model with significantly lower investment in resources compared to OpenAI. This raises questions about the potential of Deepseek's team and the hidden capabilities of OpenAI's infrastructure. The dynamics of the LLM market suggest that if Deepseek continues to offer superior performance at competitive pricing, it could disrupt the current landscape, prompting developers to shift away from OpenAI's offerings.
- OpenAI is enhancing LLM reasoning through "inference time compute."
- Deepseek's R1 model outperforms several established models and is open-source.
- The competitive landscape for LLMs is intensifying, with significant implications for market dynamics.
- Deepseek's success raises questions about the efficiency of resource use in AI model training.
- The emergence of competitive Chinese models challenges previous assumptions about their capabilities.
Related
DeepSeek-V3, ultra-large open-source AI, outperforms Llama and Qwen on launch
Chinese AI startup DeepSeek launched DeepSeek-V3, a 671 billion parameter model outperforming major competitors. It features cost-effective training, innovative architecture, and is available for testing and commercial use.
DeepSeek's new AI model appears to be one of the best 'open' challengers yet
DeepSeek, a Chinese AI firm, launched DeepSeek V3, an open-source model with 671 billion parameters, excelling in text tasks and outperforming competitors, though limited by regulatory constraints.
Interesting Interview with DeepSeek's CEO
Deepseek, a Chinese AI startup, has surpassed OpenAI's models in reasoning benchmarks, focusing on foundational AI technology, open-source models, and low-cost APIs, while aiming for artificial general intelligence.
Notes on the New Deepseek v3
Deepseek v3, a leading open-source model with 607 billion parameters, excels in reasoning and math tasks, outperforming competitors while being cost-effective, trained on 14.8 trillion data points for $6 million.
DeepSeek-R1 and Exploring DeepSeek-R1-Distill-Llama-8B
DeepSeek, a Chinese AI lab, has launched its R1 model and derived models for tasks like math and coding, open-sourced under MIT, with some licensing concerns and known limitations.
1 commentsRelated
DeepSeek-V3, ultra-large open-source AI, outperforms Llama and Qwen on launch
Chinese AI startup DeepSeek launched DeepSeek-V3, a 671 billion parameter model outperforming major competitors. It features cost-effective training, innovative architecture, and is available for testing and commercial use.
DeepSeek's new AI model appears to be one of the best 'open' challengers yet
DeepSeek, a Chinese AI firm, launched DeepSeek V3, an open-source model with 671 billion parameters, excelling in text tasks and outperforming competitors, though limited by regulatory constraints.
Interesting Interview with DeepSeek's CEO
Deepseek, a Chinese AI startup, has surpassed OpenAI's models in reasoning benchmarks, focusing on foundational AI technology, open-source models, and low-cost APIs, while aiming for artificial general intelligence.
Notes on the New Deepseek v3
Deepseek v3, a leading open-source model with 607 billion parameters, excels in reasoning and math tasks, outperforming competitors while being cost-effective, trained on 14.8 trillion data points for $6 million.
DeepSeek-R1 and Exploring DeepSeek-R1-Distill-Llama-8B
DeepSeek, a Chinese AI lab, has launched its R1 model and derived models for tasks like math and coding, open-sourced under MIT, with some licensing concerns and known limitations.