DeepSeek's More Efficient AI Model Throws Doubt on Tech's Energy Outlook
Did DeepSeek just deep-six estimates about AI's energy needs? The Chinese upstart claims a far more efficient AI model, ...
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Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation
I examine the rising tendency of employing big-sized generative AI and large language models (LLMs) to sharpen smaller-sized AI or SLMs (small language models). It is happening with ...
STAT36m
AI forces doctors to reconsider the nature of diagnosis
Today's medical AI systems represent not just a new diagnostic tool, but a new kind of medical reasoning altogether, writes ...
DeepSeek just taught the AI industry 5 hard lessons
Have American tech companies completely misunderstood what they should do with Large Language Models? It certainly looks that ...
AI Memory And Context: Open Source, DeepSeek, Meta, And Model Research
With AI, though, it’s different. The stakes are different – the impact on our society and our personal lives is different. So ...
Ai2 releases Tülu 3, a fully open-source model that bests DeepSeek v3, GPT-4o with novel post-training approach
DeepSeek-R1 released model code and pre-trained weights but not training data. Ai2 is taking a different approach to be more ...
decrypt12d
Beyond Transformers: New AI Architectures Could Revolutionize Large Language Models
Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...
InfoQ11d
Google Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to ...
Euromoney3d
RBC’s plans to marry large language and transaction models
Canada’s biggest bank has been training in-house AI models on vast bodies of financial data. Now it is integrating them with ...
Govt eyes domestic AI models
Vaishnaw said that six Indian entities had already shown promise and could release their foundation models in the next ten ...