Researchers find you don’t need a ton of data to train LLMs for reasoning tasks
With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.
Venture investors see DeepSeek accelerating AI market growth
Most believe improving economics will shift action in the venture industry away from building costly models to smaller models ...
Inverse23h
DeepSeek Has Upended The World Of AI In Ways That We’re Only Beginning to Understand
An AI startup from China, DeepSeek, has upset expectations about how much money is needed to build the latest and greatest ...
Strokes of genius: why DeepSeek’s AI edge may come from its Chinese lessons
Rich language training data and a colourful cast of characters help power AI into the ‘era of Chinese’, experts say.
Microsoft1d
5 key features and benefits of retrieval augmented generation (RAG)
Explore key features and benefits of retrieval augmented generation (RAG) to seamlessly integrate information retrieval to ...
I put GitHub Copilot's AI to the test - its mixed success at coding baffled me
In some challenges, the GPT-4-based model triumphed. In others, it failed. How do you know when to count on it?
Impacts2d
Why Сurrent LLMs Struggle to Integrate with Complex Data Lakes in Multi-agent Systems
Despite the latest AI advancements, Large Language Models (LLMs) continue to face challenges in their integration into the ...
'ChatGPT for birdsong' may shed light on how language is wired in the human brain
Just like ChatGPT and other generative language models train on human texts to create grammatically correct sentences, a new ...
DeepSeek: How China's embrace of open-source AI caused a geopolitical earthquake
We are in the early days of a seismic shift in the global AI industry. DeepSeek, a previously little-known Chinese artificial ...