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AMD Unveils Its First Small Language Model AMD-135M
In the ever-evolving landscape of artificial intelligence, large language models (LLMs) like GPT-4 and Llama have garnered significant attention for their impressive capabilities in natural language processing and generation. However, small language models (SLMs) are emerging as an essential counter...
This work demonstrates the commitment to an open approach to AI which will lead to more inclusive, ethical, and innovative technological progress, helping ensure that its benefits are more widely shared, and its challenges more collaboratively addressed. However, a major limitation of this approach is that each forward pass can only generate a single token, resulting in low memory access efficiency and affecting overall inference speed. This approach allows each forward pass to generate multiple tokens without compromising performance, thereby significantly reducing memory access consumption, and enabling several orders of magnitude speed improvements.
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