A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations ...

When it comes to real-world evaluation, appropriate benchmarks need to be carefully selected to match the context of AI ...

By releasing its core architecture and source code, it appears that the developers aim to promote collaboration and ...

The recent excitement surrounding DeepSeek, an advanced large language model (LLM), is understandable given the significantly ...

However, in the weeks since, the LLM changed the AI ... DeepSeek resolved this issue by fine-tuning the model with limited supervised learning, leading to R1, which could match OpenAI’s o1 ...

The desktop apps LM Studio and GPT4All allow users to run various LLM models directly on their computers.

Reasoning models like o1-preview (and successors) and DeepSeek R1 are trained with a reinforcement learning technique that allows the AI to solve problems to achieve the desired result.

DeepSeek is backed by High-Flyer Capital Management, a Chinese quantitative hedge fund that uses AI to inform its trading ... performs as well as OpenAI’s o1 model on key benchmarks.

DeepSeek grabbed headlines in late January with its R1 AI model, which the company says can roughly match the performance of Open AI’s o1 model at a fraction of the cost. Tech stocks tumbled as ...

DeepSeek LLM, and DeepSeek Chat — in November 2023. But it wasn't until last spring, when the startup released its next-gen DeepSeek-V2 family of models, that the AI industry started to take notice.