​[[{“value”:” Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. It has applications in various domains, such as language translation, text summarization, sentiment analysis, and the development of conversational agents. Large language models (LLMs) have significantly… Read More »Researchers from Cerebras & Neural Magic Introduce Sparse Llama: The First Production LLM based on Llama at 70% Sparsity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” RLHF is the standard approach for aligning LLMs. However, recent advances in offline alignment methods, such as direct preference optimization (DPO) and its variants, challenge the necessity of on-policy sampling in RLHF. Offline methods, which align LLMs using pre-existing datasets without active online interaction,… Read More »This AI Research from Google DeepMind Explores the Performance Gap between Online and Offline Methods for AI Alignment Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Incorporating speech comprehension could vastly improve human-computer interaction. Current methods rely on automated speech recognition (ASR) followed by LLM processing, missing… Read More »SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, we are excited to announce the Mixtral-8x22B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. You can try out this model with SageMaker JumpStart, a machine learning… Read More »Mixtral 8x22B is now available in Amazon SageMaker JumpStart Marco Punio AWS Machine Learning Blog

​[[{“value”:” Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of… Read More »Building Generative AI prompt chaining workflows with human in the loop Veda Raman AWS Machine Learning Blog

​Our approach to analyzing and mitigating future risks posed by advanced AI models Our approach to analyzing and mitigating future risks posed by advanced AI models  Read More  

​ The potential of utilizing unstructured data, particularly image data, in the fashion and lifestyle retail industry is immense. With the… Continue reading on Becoming Human: Artificial Intelligence Magazine »  The potential of utilizing unstructured data, particularly image data, in the fashion and lifestyle retail… Read More »Image Embedding, Image Similarity and Caption generation with Live Streamlit implementation Sourish Dey Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” With AI’s support, the real estate business is seeing a revolutionary shift. With the widespread adoption of AI, real estate agents have access to a suite of AI solutions that can transform their business and provide unparalleled service to clients. Some apps use artificial… Read More »Top AI Tools for Real Estate Agents Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the present world, businesses and individuals rely heavily on artificial intelligence, particularly large language models (LLMs), to assist with various tasks. However, these models have significant limitations. One of the main issues is their inability to remember long-term conversations, which makes it difficult… Read More »Phidata: An AI Framework for Building Autonomous Assistants with Long-Term Memory, Contextual Knowledge and the Ability to Take Actions Using Function Calling Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Named Entity Recognition (NER) is vital in natural language processing, with applications spanning medical coding, financial analysis, and legal document parsing. Custom models are typically created using transformer encoders pre-trained on self-supervised tasks like masked language modeling (MLM). However, recent years have seen the… Read More »NuMind Releases Three SOTA NER Models that Outperform Similar-Sized Foundation Models in the Few-shot Regime and Competing with Much Larger LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost