Researchers from Carnegie Mellon University, Google Research, and Google DeepMind have introduced a novel approach called Functional Interpolation for Relative Position Encoding (FIRE) to improve the ability of Transformer models to handle longer inputs. FIRE uses progressive interpolation with functional relative position encoding to enhance the generalization of the models. It outperforms existing techniques in…

Deep fakes are a growing concern, particularly in the context of elections. Recent incidents in Slovakia, the UK, and Sudan have highlighted the threat of AI-generated fake audio clips. These clips are harder to detect and can have serious consequences, including election manipulation and violence. Efforts to combat deep fakes include proposed legislation and the…

AI is driving innovation in technologies like Robotics, IoT, and Big Data. It can improve healthcare by detecting diseases faster, streamline drug discovery, and act as a virtual nurse. In transportation, AI is revolutionizing autonomous vehicles and assisting with navigation. AI also enhances education by improving learning experiences. Despite its usefulness, concerns about AI include…

This text provides advice on selecting and reducing training time for neural networks. To learn more, visit the article on Towards Data Science.

The text is part 2 of a series on strategic data analysis. For further details, read on Towards Data Science.

The text is promoting an article on Towards Data Science that discusses PyTorch code.

Researchers from the University of Illinois at Urbana-Champaign have introduced LATS, a framework that harnesses the capabilities of Large Language Models (LLMs) for decision-making, planning, and reasoning. LATS utilizes techniques such as Monte Carlo tree search (MCTS) to explore decision paths and integrates external feedback for adaptive problem-solving. Experimental evaluations across various domains demonstrate the…

The rise of AI-generated voices on TikTok is causing concern as it facilitates the spread of misinformation. For example, an AI-generated voice sounding like former President Barack Obama defended himself against a baseless theory. This trend is not limited to politics but also includes false claims about celebrities and various topics. Companies and experts are…

PB-LLM is an innovative approach for extreme low-bit quantization in Large Language Models (LLMs) while preserving language reasoning capabilities. It strategically filters salient weights during binarization, introduces post-training quantization (PTQ) and quantization-aware training (QAT) methods, and offers accessible code for further exploration. This advancement contributes significantly to LLM network binarization.

Researchers from Princeton University and Meta AI have developed MEMWALKER, a new method for analyzing lengthy texts. MEMWALKER breaks down the text into manageable segments, condenses the information from each segment, and constructs a tree structure. This approach allows for rapid processing of texts and the identification of crucial information without user fine-tuning. MEMWALKER outperformed…