Less supervision, better results: Study shows AI models generalize more effectively on their own
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
DeepSeek: Everything you need to know about the Chinese AI giant
T he big AI news of the year was set to be OpenAI’s Stargate Project, announced on January 21. The project plans to invest ...
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 ...
What DeepSeek’s Launch Means For The Human-in-the-Loop AI Market
DeepSeek’s AI model challenges traditional HITL approaches, using synthetic data and expert input to reshape AI training and ...
techxplore14h
The limitations of language: AI models still lag behind humans in simple text comprehension tests
An international research team led by the URV has analyzed the capabilities of seven artificial intelligence (AI) models in ...
AI can reinstate India at the intellectual summit
By combining the wisdom of ancient texts with cutting-edge AI, India could unlock breakthroughs in philosophy, science, and ...
Easily Fine-Tune AI Models by Training Them with Your Own Data Using Encord
Simplify AI training with Encord’s powerful tools for data annotation, integration, and active learning. Achieve better AI ...
The Economist19h
Forget DeepSeek. Large language models are getting cheaper still
A s recently as 2022, just building a large language model ( LLM) was a feat at the cutting edge of artificial-intelligence ( ...
Will the non-English genAI problem lead to data transparency and lower costs?
Non-English generative AI models are far less accurate and useful than their English-based counterparts — sometimes dramatically so. Companies paying for them should know what they’re getting, and ...