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Applications

Scientists at UC Berkeley suggest a Neural Diffusion method working on Syntax Trees for creating programs.

Large language models (LLMs) have significantly advanced code generation, but they develop code in a linear fashion without access to a feedback loop that allows for corrections based on the previous outputs. This creates challenges in correcting mistakes or suggesting edits. Now, researchers at the University of California, Berkeley, have developed a new approach using…

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Jina AI has publicly released Jina CLIP: an advanced English multimodal (text-image) embedding model.

The field of multimodal learning, which involves training models to understand and generate content in multiple formats such as text and images, is evolving rapidly. Current models have inefficiencies in dealing with text-only and text-image tasks, often excelling in one domain but underperforming in the other. This necessitates distinct systems to retrieve different forms of…

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BioDiscoveryAgent: Transforming Genetic Research Design with Insights Powered by Artificial Intelligence.

LLM or Language Model-based systems have shown potential to accelerate scientific discovery, especially in the biomedical research field. These systems are able to leverage a large bank of background information to conduct and interpret experiments, particularly useful for identifying drug targets through CRISPR-based genetic modulation. Despite the promise they show, their usage in designing biological…

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Examining the Performance of Language Models through Human Interaction via the Versatile AI Platform, CheckMate

Research teams from the University of Cambridge, University of Oxford, and the Massachusetts Institute of Technology have developed a dynamic evaluation method called CheckMate. The aim is to enhance the evaluation of Large Language Models (LLMs) like GPT-4 and ChatGPT, especially when used as problem-solving tools. These models are capable of generating text effectively, but…

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10 Generative Pre-training Transformers for Software Engineers

OpenAI has developed a new feature known as Generic Pre-trained Transformers (GPTs) that allows users to create a custom version of ChatGPT, a sophisticated artificial intelligence text generation technology. These versions can be specialized in any topic ranging from writing to research, productivity, education, lifestyle, and more. The goal of these versions is to assist…

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Matrices of Quantized Eigenvectors for Second-Order Optimization of 4-bit Deep Learning Networks

Deep neural networks (DNNs) have found widespread success across various fields. This success can be attributed to first-order optimizers such as stochastic gradient descent with momentum (SGDM) and AdamW. However, these methods encounter challenges in efficiently training large-scale models. As an alternative, second-order optimizers like K-FAC, Shampoo, AdaBK, and Sophia have demonstrated superior convergence properties,…

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Introducing Tsinghua University’s GLM-4-9B-Chat-1M: A Remarkable Language Model Competing Against GPT 4V, Gemini Pro (focused on vision), Mistral and Llama 3 8B.

Tsinghua University's Knowledge Engineering Group (KEG) has introduced GLM-4 9B, an innovative, open-source language model that surpasses other models like GPT-4 and Gemini in different benchmark tests. Developed by the Tsinghua Deep Model (THUDM) team, GLM-4 9B signals an important development in the sphere of natural language processing. At its core, GLM-4 9B is a colossal…

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