You can get the number of rows in Pandas DataFrame using len(df.index) and df.shape[0] properties. Pandas allow us to get the shape of the DataFrame by counting the number of rows in the DataFrame. DataFrame.shape property returns the rows and columns, for rows get… Read More »Pandas Get the Number of Rows Admin Spark By {Examples}
Large language models, like GPT-4 and PaLM 2, have evolved into a crucial part of contemporary AI systems, revolutionizing their grasp of natural language processing and changing various sectors. Despite great advancements in comprehension and producing contextually appropriate replies, LLMs still have certain drawbacks.… Read More »Meet ChatDB: A Framework that Augments LLMs with Symbolic Memory in the Form of Databases Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. Forethought is a leading generative AI suite for customer service. At the core of its suite is the innovative SupportGPT technology… Read More »How Forethought saves over 66% in costs for generative AI models using Amazon SageMaker Jad Chamoun AWS Machine Learning Blog
Implementing a modern data architecture provides a scalable method to integrate data from disparate sources. By organizing data by business domains instead of infrastructure, each domain can choose tools that suit their needs. Organizations can maximize the value of their modern data architecture with… Read More »Reinventing the data experience: Use generative AI and modern data architecture to unlock insights Navneet Tuteja AWS Machine Learning Blog
Posted by Junfeng He, Senior Research Scientist, and Kai Kohlhoff, Staff Research Scientist, Google Research People have the remarkable ability to take in a tremendous amount of information (estimated to be ~1010 bits/s entering the retina) and selectively attend to a few task-relevant and interesting… Read More »Enabling delightful user experiences via predictive models of human attention Google AI Google AI Blog
This is a guest post by Dr. Naoki Okada, Lead Data Scientist at BrainPad Inc. Founded in 2004, BrainPad Inc. is a pioneering partner in the field of data utilization, helping companies create business and improve their management through the use of data. To… Read More »How BrainPad fosters internal knowledge sharing with Amazon Kendra Dr. Naoki Okada AWS Machine Learning Blog
The well-famous ChatGPT developed by OpenAI is one of the best examples of Large Language Models (LLMs) that have been recently released. LLMs like ChatGPT have taken the world by storm with their unmatchable potential and ability to imitate humans in performing various tasks.… Read More »Exploring Instruction-Tuning Language Models: Meet Tülu-A Suite of Fine-Tuned Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost
The size of the machine learning (ML) models––large language models (LLMs) and foundation models (FMs)––is growing fast year-over-year, and these models need faster and more powerful accelerators, especially for generative AI. AWS Inferentia2 was designed from the ground up to deliver higher performance while… Read More »AWS Inferentia2 builds on AWS Inferentia1 by delivering 4x higher throughput and 10x lower latency Samir Araujo AWS Machine Learning Blog
Last week, Technology Innovation Institute (TII) launched TII Falcon LLM, an open-source foundational large language model (LLM). Trained on 1 trillion tokens with Amazon SageMaker, Falcon boasts top-notch performance (#1 on the Hugging Face leaderboard at time of writing) while being comparatively lightweight and… Read More »Deploy Falcon-40B with large model inference DLCs on Amazon SageMaker James Park AWS Machine Learning Blog
Rendered.ai is easing AI training for developers, data scientists and others with its platform-as-a-service for synthetic data generation, or SDG. Training computer vision AI models requires massive, high-quality, diverse and unbiased datasets. These can be challenging and costly to obtain, especially with increasing demands… Read More »Rendered.ai Integrates NVIDIA Omniverse for Synthetic Data Generation Katja Reitemeyer – Archives Page 1 | NVIDIA Blog