​BigML offers a chat support interface, where our users get their questions about our platform answered quickly. Recently, an academic Continue reading  BigML offers a chat support interface, where our users get their questions about our platform answered quickly. Recently, an academicContinue reading  Read More bindings, Explanations,… Read More »Explaining Predictions with SHAP Values martinprats The Official Blog of BigML.com

​ Python list is a versatile data structure that allows you to store a collection of elements in a specific order. Each element in the list is assigned an index, starting from 0, which indicates its position within the list. List operations refer to the… Read More »Python List Operations Malli Spark By {Examples}

​ How to remove multiple items/elements from a list in Python? You can remove multiple items from a list in Python using many ways like, if control statements, list comprehension, enumerate(), list slicing, and for loop. In this article, I will explain how to remove… Read More »Remove Multiple Items from List Python Malli Spark By {Examples}

​ Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker, a fully managed… Read More »Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift Akhilesh Dube AWS Machine Learning Blog

​ The landscape of machine learning has undergone a transformative shift with the emergence of transformer-based architectures, revolutionizing tasks across natural language processing, computer vision, and beyond. However, a notable gap still needs to be addressed within image-level generative models, specifically diffusion models, which largely… Read More »Diffusion Transformers (DiTs) for Unprecedented Architectural Innovation: Transforming Image Generation with Transformer-Based Diffusion Models Madhur Garg Artificial Intelligence Category – MarkTechPost

​ The fields of Artificial Intelligence and Deep Learning are constantly progressing at a fast pace. From Large Language Models based on Natural Language Processing to text to image models using the concepts of Computer vision, AI has come a long way. With Human Neural… Read More »Researchers from NTU and SenseTime Propose SHERF: A Generalizable Human NeRF Model for Recovering Animatable 3D Human Models from a Single Input Image Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ It has been demonstrated that the usability and overall performance of large language models (LLMs) can be enhanced by fine-tuning various language tasks provided via instructions (instruction tuning). Models trained with visual, auditory, and multilingual data have all fared well with the instruction tuning… Read More »How to Instruction Tune Code LLMs without GPT4 Data? Meet OctoPack: A Set of AI Models for Instruction Tuning Code Large Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Analogical reasoning serves as the cornerstone of human intelligence and ingenuity. When faced with an unfamiliar challenge, individuals frequently devise viable solutions by methodically comparing them to a more recognizable scenario. This approach plays a key role in how humans think across various activities,… Read More »This AI Research from UCLA Indicates Large Language Models (such as GPT-3) have Acquired an Emergent Ability to Find Zero-Shot Solutions to a Broad Range of Analogy Problems Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Recent large language model (LLM) accomplishments encourage new research into using LLMs to handle various complicated tasks, with LLM-augmented Autonomous Agents (LAAs) garnering the greatest attention. By extending LLM’s intelligence to sequential action executions, LAA shows supremacy in interacting with settings and handling challenging… Read More »Salesforce AI Researchers Introduce the Evolution of LLM-Augmented Autonomous Agents and the Innovative BOLAA Strategy Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ random.choices() function is one of the functions of the built-in random module in Python and is used to select one or more elements from a given sequence(population) randomly with replacement. A random module is used to generate the random numbers in Python. In this… Read More »Python Random choices() Function Vijetha Spark By {Examples}