Thu.Oct 31, 2024

article thumbnail

Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

Anthropic has just released Claude 3.5, a powerful new version of its LLM series. While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing.

article thumbnail

7 best transcript summarizers powered by AI

AssemblyAI

The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data.  One predominant AI feature that has risen in popularity is AI-powered transcript summarizers. In addition to providing an immediate transcript of a virtual meeting or lecture (using AI speech-to-text ), AI transcript summarizers can summarize th

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Harnessing AI and Knowledge Graphs for Enterprise Decision-Making

Unite.AI

Today’s business landscape is arguably more competitive and complex than ever before: Customer expectations are at an all-time high and businesses are tasked with meeting (or exceeding) those needs, while simultaneously creating new products and experiences that will provide consumers with even more value. At the same time, many organizations are strapped for resources, contending with budgetary constraints, and dealing with ever-present business challenges like supply chain latency.

AI 173
article thumbnail

Beyond Word Error Rate: Universal-2 Delivers Accuracy Where It Matters

AssemblyAI

Building AI applications with speech recognition should be straightforward: process audio, get structured data, take action. Yet despite the industry's claims of +90% accuracy, developers face a persistent challenge: the gap between raw audio files and reliable, structured outputs. The hidden cost of "good enough" speech-to-text Consider a simple example: Your application needs to parse "sarah.johnson@acme-corp.com" from an audio stream.

article thumbnail

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

article thumbnail

Amy Brown, Chief Executive Officer, Authenticx – Interview Series

Unite.AI

Amy Brown , a former healthcare executive, founded Authenticx in 2018 to help healthcare organizations unlock the potential of customer interaction data. With two decades of experience in the healthcare and insurance industries, she saw the missed opportunities in using customer conversations to drive business growth and improve profitability. Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing

More Trending

article thumbnail

How a company transformed employee HR experience with an AI assistant

IBM Journey to AI blog

IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East. Jad Haddad , Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. Next-gen HR for a next-gen workforce As a new generation of digital natives enters the workforce, we are seeing new expectations around the employee experience.

article thumbnail

7 Gartner trends for CIOs to watch in 2025 and beyond

Flipboard

The analyst firm used this year's trends list to spotlight the role of AI in the enterprise, especially as vendors change how AI agents are delivered.

AI 165
article thumbnail

SmolLM2 Released: The New Series (0.1B, 0.3B, and 1.7B) of Small Language Models for On-Device Applications and Outperforms Meta Llama 3.2 1B

Marktechpost

In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks. The widespread use of massive LLMs like GPT-4 and Meta’s LLaMA has revealed their limitations when it comes to resource efficiency. These models, despite their impressive capabilities, often demand substantial computational power and memory, making them unsuitable for many users, particularly

article thumbnail

On Device Llama 3.1 with Core ML

Machine Learning Research at Apple

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user's device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy.

ML 135
article thumbnail

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?

article thumbnail

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes.

article thumbnail

Automatically Research Anybody with ChatGPT and Perplexity

Flipboard

AI tools like ChatGPT and Perplexity, combined with automation software Make, to research individuals efficiently.

ChatGPT 150
article thumbnail

Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

AWS Machine Learning Blog

Amazon SageMaker Ground Truth enables the creation of high-quality, large-scale training datasets, essential for fine-tuning across a wide range of applications, including large language models (LLMs) and generative AI. By integrating human annotators with machine learning, SageMaker Ground Truth significantly reduces the cost and time required for data labeling.

article thumbnail

Why End-to-End Document Creation Is the Next Big Focus

Artificial Lawyer

By Judie Rahman, Senior Solutions Manager at BigHand. BigHand recently surveyed over 800 legal professionals and found 35% of participating law firms confirmed that reviewing.

article thumbnail

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

article thumbnail

#47 Building a NotebookLM Clone, Time Series Clustering, Instruction Tuning, and More!

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! As we wrap up October, we’ve compiled a bunch of diverse resources for you — from the latest developments in generative AI to tips for fine-tuning your LLM workflows, from building your own NotebookLM clone to instruction tuning. We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy.

LLM 109
article thumbnail

Menos de la mitad de las aseguradoras en la región han implementado IA

SAS Software

La Inteligencia Artificial Generativa y la Inteligencia Artificial Predictiva son cada vez más utilizadas en el sector asegurador para predecir tendencias, demandas y optimizar operaciones. Sin embargo, de acuerdo con un estudio elaborado por Ernest and Young, el 50 % de los ejecutivos y responsables de áreas de tecnología no [.] The post Menos de la mitad de las aseguradoras en la región han implementado IA appeared first on SAS Blogs.

article thumbnail

Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. However, data quality is still a major challenge: if the data that is fed into a model lacks quality/consistency, the resulting output will also be of low quality.

article thumbnail

Fashion models step aside as AI glam bots join them in ads: ‘It’s about faster content creation’

Flipboard

Meet the faces of the future.

article thumbnail

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.

article thumbnail

Agents Are Coming Back From The Dead

Towards AI

Author(s): Rafe Brena, Ph.D. Originally published on Towards AI. They stayed buried for 20 years This member-only story is on us. Upgrade to access all of Medium. Image by the author using Ideogram I worked on AI full-time for over 30 years, at least 10 of them in an area called “Multiagent Systems,” Intelligent Agents, or simply “Agents,” depending on who you ask.

article thumbnail

10 Python One-Liners That Will Boost Your Data Science Workflow

Machine Learning Mastery

Python is the most popular data science programming language, as it’s versatile and has a lot of support from the community. With so much usage, there are many ways to improve our data science workflow that you might not know.

article thumbnail

Stock Prices: Predictable Patterns or Pure Chance?

Towards AI

Author(s): Shenggang Li Originally published on Towards AI. Statistical Analysis of Stock Market Trends Across Bull and Bear Phases, Uncovering When and How Market Conditions Shape Predictability This member-only story is on us. Upgrade to access all of Medium. Photo by Helena Hertz on Unsplash Are stock prices truly random, or do hidden patterns surface under certain conditions?

AI 96
article thumbnail

Voyager 1 Stuck Using Low-Power Radio That Was Dormant for 43 Years

Extreme Tech

The latest Voyager glitch has forced the probe to fall back to an S-band radio that NASA can barely pick up from billions of miles away.

110
110
article thumbnail

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!

article thumbnail

6 AI Tools You Need Right Now

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Kamran Khan Originally published on Towards AI. Boost Your Productivity with AI This member-only story is on us. Upgrade to access all of Medium. Photo by BoliviaInteligente on Unsplash In the fast pace of digital today, tools created through AI can work to create changes in being more productive, creative, and even more efficient every day.

article thumbnail

Knowledge Graph Enhanced Language Agents (KGLA): A Machine Learning Framework that Unifies Language Agents and Knowledge Graph for Recommendation Systems

Marktechpost

As the world is evolving towards a personal digital experience, recommendation systems, while being a must, from e-commerce to media streaming, fail to simulate users’ preferences to make better recommendations. Conventional models do not capture the subtlety of reasons behind user-item interactions thus generalized recommendations are presented.

article thumbnail

Scale New Heights With ‘Dragon Age: The Veilguard’ in the Cloud on GeForce NOW

NVIDIA

Even post-spooky season, GFN Thursday has some treats for GeForce NOW members: a new batch of 17 games joining the cloud in November. Catch the five games available to stream this week, including Dragon Age: The Veilguard , the highly anticipated next installment in BioWare’s beloved fantasy role-playing game series. Players who purchased the GeForce NOW Ultimate bundle can stream the game at launch for free starting today.

85
article thumbnail

CodeFavor: A Machine Learning Framework that Trains Pairwise Preference Models with Synthetic Code Preferences Generated from Code Evolution like Code Commits and Code Critiques

Marktechpost

Large Language Models (LLMs) have revolutionized software development by enabling code completion, functional code generation from instructions, and complex code modifications for bug fixes and feature implementations. While these models excel at generating code from natural language instructions, significant challenges persist in evaluating the quality of LLM-generated code.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

article thumbnail

Free Data and AI Courses with 365 Data Science—Unlimited Access until Nov 21

Machine Learning Mastery

Sponsored Content From November 1st to November 21st, 2024 (8:00 am UTC), 365 Data Science offers free access to its comprehensive learning platform. This is.

article thumbnail

XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

Marktechpost

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. However, explainability is an issue as they are ‘black boxes,’ so to say, hiding their inner working.

article thumbnail

AI & Python #29: Python Projects You Can Finish in a Weekend

Artificial Corner

Learning Python can be difficult. You might spend a lot of time watching videos and reading books; however, if you can’t put all the concepts learned into practice, that time will be wasted. This is why you should get your hands dirty with Python projects. A project will help you bring together everything you’ve learned, stay motivated, build a portfolio, and come up with ways of approaching problems and solving them with code.

Python 82