​[[{“value”:” With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets and require bigger training datasets. These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine… Read More »Meet Orion-14B: A New Open-source Multilingual Large Language Model Trained on 2.5T Tokens Including Chinese, English, Japanese, and Korean Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Proteins are essential for various cellular functions, providing vital amino acids for humans. Understanding proteins is crucial for human biology and health, requiring advanced machine-learning models for protein representation. Self-supervised pre-training, inspired by natural language processing, has significantly improved protein sequence representation. However, existing… Read More »Researchers from the Tokyo Institute of Technology Introduce ProtHyena: A Fast and Efficient Foundation Protein Language Model at Single Amino Acid Resolution Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Examples of applications include conversational search, customer support agent assistance, customer support analytics, self-service virtual assistants, chatbots, rich media generation, content… Read More »Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs Christopher Rae AWS Machine Learning Blog

​[[{“value”:”Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language models… Read More »Mixed-input matrix multiplication performance optimizations Google AI Google AI Blog

​[[{“value”:” In recent times, Large Language Models (LLMs) have gained popularity for their ability to respond to user queries in a more human-like manner, accomplished through reinforcement learning. However, aligning these LLMs with human preferences in reinforcement learning from human feedback (RLHF) can lead to… Read More »Google DeepMind Researchers Propose WARM: A Novel Approach to Tackle Reward Hacking in Large Language Models Using Weight-Averaged Reward Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of large language models (LLMs) like GPT and LLaMA has marked a significant milestone. These models have become indispensable tools for various natural language processing tasks. However, creating these models from scratch involves considerable costs, immense computational resources, and substantial energy consumption.… Read More »This AI Paper from Sun Yat-sen University and Tencent AI Lab Introduces FUSELLM: Pioneering the Fusion of Diverse Large Language Models for Enhanced Capabilities Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Tensoic has recently introduced Kannada Llama (Kan-LLaMA) to address the limitations of language models (LLMs), focusing specifically on proprietary characteristics, computational resources, and barriers to broader research community contributions. Emphasize the importance of open models using mouth to facilitate innovation in natural language processing… Read More »Tensoic AI Releases Kan-Llama: A 7B Llama-2 LoRA PreTrained and FineTuned on ‘Kannada’ Tokens Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The most recent advancement in the field of Artificial Intelligence (AI), i.e., Large Language Models (LLMs), has demonstrated some great improvement in language production. With model sizes reaching billions of parameters, these models are stepping into every domain, ranging from healthcare and finance to… Read More »Meet Medusa: An Efficient Machine Learning Framework for Accelerating Large Language Models (LLMs) Inference with Multiple Decoding Heads Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Great strides have been made in Artificial Intelligence, especially in Large Language Models like GPT-4 and Llama 2. These models, driven by advanced deep learning techniques and vast data resources, have demonstrated remarkable performance across various domains. Their potential in diverse sectors such as… Read More »This Report from Microsoft AI Reveals the Impact of Fine-Tuning and Retrieval-Augmented Generation RAG on Large Language Models in Agriculture Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the critical challenges in model-based reinforcement learning (MBRL) is managing imperfect dynamics models. This limitation of MBRL becomes particularly evident in complex environments, where the ability to forecast accurate models is crucial yet difficult, often leading to suboptimal policy learning. The challenge… Read More »This AI Paper Proposes COPlanner: A Machine Learning-based Plug-and-Play Framework that can be Applied to any Dyna-Style Model-based Methods Nikhil Artificial Intelligence Category – MarkTechPost