Join Sara Fish at BKC as she shares emerging research on Large Language Models (LLMs), and their promises, limitations, and ...
The emergence of vision language models (VLMs) offers a promising new approach. VLMs integrate computer vision (CV) and natural language processing (NLP), enabling AVs to interpret multimodal data by ...
Open-source AI and closed-source AI differ in several important ways. First, open-source models can be downloaded and run on ...
As organisations seek to implement AI capabilities on edge devices, mobile applications and privacy-sensitive contexts, SLMs ...
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Carnegie Mellon University researchers propose a new LLM training technique that gives developers more control over chain-of-thought length.
This contest to build ever-bigger computing clusters for ever-more-powerful artificial-intelligence (AI) models cannot ...
Over the past few months, we’ve been exploring how generative AI can transform trial preparation by analyzing complex litigation materials ...
As India attempts to build its own LLM, Swecha’s experience with documenting the language — in this case, Telugu — offers a ...
Chain-of-experts chains LLM experts in a sequence, outperforming mixture-of-experts (MoE) with lower memory and compute costs.
Foxconn has unveiled its first traditional Chinese large language learning model with reasoning capabilities. Takeaway Points ...
Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.
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