​[[{“value”:” Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have spurred interest in large multimodal models (LMMs). Models like GPT-4, LLaVA, and their derivatives have shown remarkable performance in vision-language tasks such as Visual Question Answering and image captioning. However, their… Read More »Researchers at Intel Labs Introduce LLaVA-Gemma: A Compact Vision-Language Model Leveraging the Gemma Large Language Model in Two Variants (Gemma-2B and Gemma-7B) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google Colab, short for Google Colaboratory, is a free cloud service that supports Python programming and machine learning. It’s a dynamic tool that enables anyone to write and execute Python codes on a browser. This platform is favored for its zero-configuration required, easy sharing… Read More »How to Use Google Colab: A Beginner’s Guide Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language models (LLMs) have demonstrated exceptional capabilities in generating high-quality text and code. Trained on vast collections of text corpus, LLMs can generate code with the help of human instructions. These trained models are proficient in translating user requests into code snippets, crafting… Read More »Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Creating deep learning architectures requires a lot of resources because it involves a large design space, lengthy prototyping periods, and expensive computations related to at-scale model training and evaluation. Architectural improvements are achieved through an opaque development process guided by heuristics and individual experience… Read More »This Machine Learning Research Introduces Mechanistic Architecture Design (Mad) Pipeline: Encompassing Small-Scale Capability Unit Tests Predictive of Scaling Laws Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The evolution of large language models (LLMs) marks a transition toward systems capable of understanding and expressing languages beyond the dominant English, acknowledging the global diversity of linguistic and cultural landscapes. Historically, the development of LLMs has been predominantly English-centric, reflecting primarily the norms… Read More »NAVER Cloud Researchers Introduce HyperCLOVA X: A Multilingual Language Model Tailored to Korean Language and Culture Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. Earlier models have been described by the constraints they must satisfy or the sequence of operations they perform. This dual approach, while… Read More »Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Alibaba’s AI research division has unveiled the latest addition to its Qwen language model series – the Qwen1.5-32B- in a remarkable stride towards balancing high-performance computing with resource efficiency. With its 32 billion parameters and impressive 32k token context size, this model not only… Read More »Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly across input sequences, a method that, while straightforward, overlooks the nuanced variability in the computational demands of different… Read More »Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A critical challenge in Artificial intelligence, specifically regarding large language models (LLMs), is balancing model performance and practical constraints like privacy, cost, and device compatibility. While large cloud-based models offer high accuracy, their reliance on constant internet connectivity, potential privacy breaches, and high costs… Read More »Researchers at Stanford University Introduce Octopus v2: Empowering On-Device Language Models for Super Agent Functionality Nikhil Artificial Intelligence Category – MarkTechPost