Tue.Nov 26, 2024

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase?

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AI’s Life-Changing, Measurable Impact on Cancer

Unite.AI

Leveraging Big Data to Enhance AI in Cancer Detection and Treatment Integrating AI into the healthcare decision making process is helping to revolutionize the field and lead to more accurate and consistent treatment decisions due to its virtually limitless ability to identify patterns too complex for humans to see. The field of oncology generates enormous data sets, from unstructured clinical histories to imaging and genomic sequencing data, at various stages of the patient journey.

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Skimpy: Alternative to Pandas describe() for Data Summarization

Analytics Vidhya

Data summarization is an essential first step in any data analysis workflow. While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics. Enter Skimpy, a Python library designed to offer detailed, visually appealing, and comprehensive data summaries for all column types.

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Can AI World Models Really Understand Physical Laws?

Unite.AI

The great hope for vision-language AI models is that they will one day become capable of greater autonomy and versatility, incorporating principles of physical laws in much the same way that we develop an innate understanding of these principles through early experience. For instance, children's ball games tend to develop an understanding of motion kinetics , and of the effect of weight and surface texture on trajectory.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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I Tried AISuite by AndrewNg, and It is GREAT!

Analytics Vidhya

Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string. By significantly reducing integration overhead, AISuite enhances flexibility and accelerates application […] The post I Tried AISuite by AndrewNg, and It is GREAT

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Sumer Johal, CEO of Almanac – Interview Series

Unite.AI

Sumer Johal is a global leader with over 25 years of professional experience in building and managing digital-first organizations across multiple industries and geographies. Mr. Johal has spent the most recent decade of his professional career addressing systemic challenges in environmental stewardship and sustainability, food security, rural livelihoods and digital access equity – within agriculture- and rural-centric ecosystems.

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Changing a single number among billions can destroy an AI model

Flipboard

Today's huge AI models are composed of several billion numbers known as weights and changing just one of them can destroy their ability to function, leading to “gibberish” output

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Beyond Large Language Models: How Large Behavior Models Are Shaping the Future of AI

Unite.AI

Artificial intelligence (AI) has come a long way, with large language models (LLMs) demonstrating impressive capabilities in natural language processing. These models have changed the way we think about AI’s ability to understand and generate human language. While they are excellent at recognizing patterns and synthesizing written knowledge, they struggle to mimic the way humans learn and behave.

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Inflection CEO says it’s done trying to make next generation AI models

Flipboard

Just last year, Inflection AI was as hot as a startup could be, releasing best-in-class AI models it claimed could outperform technology from OpenAI, Meta, and Google.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Guide to Booleans in Python

Analytics Vidhya

Boolean values are the primary imperative of making decisions in Python as statements allow programs to make decisions and then pursue specific actions. In fact, no matter where you are in your code and whether you are testing for the existence of a file, confirming user input, or building your logic within applications, getting to […] The post Guide to Booleans in Python appeared first on Analytics Vidhya.

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ChatGPT for iOS adds new shortcut for using SearchGPT

Flipboard

As we reported last month, OpenAI has finally launched SearchGPT, which is essentially a search engine developed by OpenAI that uses artificial intelligence to find and combine the best results from the web. And with the latest ChatGPT update for iOS, it’s now easier to use SearchGPT.

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How Crexi achieved ML models deployment on AWS at scale and boosted efficiency

AWS Machine Learning Blog

This post is co-written with Isaac Smothers and James Healy-Mirkovich from Crexi. With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.

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OpenAI’s Sora video generator appears to have leaked

Flipboard

A group appears to have leaked access to Sora, OpenAI’s video generator, in protest of what they’re calling duplicity and “art washing” on OpenAI’s part.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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When the Atari 2600 Launched Home Video Games

Extreme Tech

The revised and updated Second Edition of Adventure, by ExtremeTech editor-in-chief Jamie Lendino, details what it was like to play the Atari 2600 when it was new and exciting.

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Fate of AI and Fair Use Copyright Report Will Depend on Judges

Flipboard

Federal courts—not the US Copyright Office—will have the final say on implementing any recommendations from the office’s forthcoming report on the fair use ramifications of training AI on protected works.

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Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

AWS Machine Learning Blog

In the field of generative AI , latency and cost pose significant challenges. The commonly used large language models (LLMs) often process text sequentially, predicting one token at a time in an autoregressive manner. This approach can introduce delays, resulting in less-than-ideal user experiences. Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizatio

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JPMorgan Chase and Capital One are winning at AI banking — and their lead is getting bigger

Flipboard

The artificial intelligence race in the banking sector is picking up speed, with the top performing financial institutions integrating the new technology at twice the rate of rivals.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Enhanced observability for AWS Trainium and AWS Inferentia with Datadog

AWS Machine Learning Blog

This post is co-written with Curtis Maher and Anjali Thatte from Datadog. This post walks you through Datadog’s new integration with AWS Neuron , which helps you monitor your AWS Trainium and AWS Inferentia instances by providing deep observability into resource utilization, model execution performance, latency, and real-time infrastructure health, enabling you to optimize machine learning (ML) workloads and achieve high-performance at scale.

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How to identify AI-generated text: 7 ways to tell if content was made by a bot

Flipboard

Unlike images or videos, synthetic text is almost impossible to discern with the human eye. As AI-generated content gets more ubiquitous in our everyday lives, you may be wondering, "How do I identify AI text?" It's no surprise that these models get more difficult to detect as AI technology evolves.

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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. Since 2018, using state-of-the-art proprietary and open source large language models (LLMs), our flagship product— Rad AI Impressions — has significantly reduced the time radiologists spend dictating reports, by generating Impression sections.

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Which IDEs do software engineers love, and why?

Flipboard

It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. Then this summer, I saw the Cursor IDE becoming popular around when Anthropic’s Sonnet 3.5 model was released, which has superior code generation compared to ChatGPT.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Create a virtual stock technical analyst using Amazon Bedrock Agents

AWS Machine Learning Blog

Stock technical analysis questions can be as unique as the individual stock analyst themselves. Queries often have multiple technical indicators like Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), and others. Answering these varied questions would mean writing complex business logic to unpack the query into parts and fetching the necessary data.

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OpenAI gets new $1.5 billion investment from SoftBank, allowing employees to sell shares in a tender offer

Flipboard

OpenAI is allowing employees to sell roughly $1.5 billion worth of shares in a new tender offer to SoftBank, CNBC has learned.

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Exploring Memory Options for Agent-Based Systems: A Comprehensive Overview

Marktechpost

Large language models (LLMs) have transformed the development of agent-based systems for good. However, managing memory in these systems remains a complex challenge. Memory mechanisms enable agents to maintain context, recall important information, and interact more naturally over extended periods. While many frameworks assume access to GPT or other proprietary APIs, the potential for local models to outperform GPT-3 or similar systems opens the door for more customized solutions.

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AI can produce weather forecasts quickly but faces challenges

Flipboard

Artificial intelligence is enhancing the accuracy of weather forecasts by leveraging decades of historical weather data to generate predictions rapidly, though it still struggles with small-scale weather systems and uncertainty.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Adarsh Kyadige and Salma Taoufiq from Sophos. As a leader in cutting-edge cybersecurity, Sophos is dedicated to safeguarding over 500,000 organizations and millions of customers across more than 150 countries. By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services.

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Nvidia's Fugatto AI sound model is set to transform audio production

Flipboard

The new model is known as Fugatto, which is short for Foundational Generative Audio Transformer Opus 1. According to Nvidia, its capabilities are unparalleled. For example, Fugatto can create a tune based solely on text, change the emotion in a singer's voice or modify their accent, and even add or.

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Unleash your Salesforce data using the Amazon Q Salesforce Online connector

AWS Machine Learning Blog

Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based platform centralizes customer information and interactions across the organization, providing sales reps, marketers, and support agents with a unified 360-degree view of each customer. With Salesforce at the heart of their business, companies accumulate vast amounts of customer data within the platform over time.