Sat.Nov 23, 2024 - Fri.Nov 29, 2024

article thumbnail

Why Small Language Models (SLMs) Are The Next Big Thing In AI

Flipboard

With Elon Musk’s xAI raising an additional $5B in funding from Andreessen Horowitz, Qatar Investment Authority, Valor Equity Partners, and Sequoia—and Amazon investing an additional $4B in OpenAI rival Anthropic—artificial intelligence enters the holiday season on fire.

article thumbnail

When Graph AI Meets Generative AI: A New Era in Scientific Discovery

Unite.AI

In recent years, artificial intelligence (AI) has emerged as a key tool in scientific discovery, opening up new avenues for research and accelerating the pace of innovation. Among the various AI technologies, Graph AI and Generative AI are particularly useful for their potential to transform how scientists approach complex problems. Individually, each of these technologies has already made significant contributions across diverse fields such as drug discovery, material science, and genomics.

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

Alibaba Marco-o1: Advancing LLM reasoning capabilities

AI News

Alibaba has announced Marco-o1, a large language model (LLM) designed to tackle both conventional and open-ended problem-solving tasks. Marco-o1, from Alibaba’s MarcoPolo team, represents another step forward in the ability of AI to handle complex reasoning challenges—particularly in maths, physics, coding, and areas where clear standards may be absent.

LLM 273
article thumbnail

Andrew Ng’s Team Releases ‘aisuite’: A New Open Source Python Library for Generative AI

Marktechpost

Generative AI (Gen AI) is transforming the landscape of artificial intelligence, opening up new opportunities for creativity, problem-solving, and automation. Despite its potential, several challenges arise for developers and businesses when implementing Gen AI solutions. One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers.

Python 138
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

Artificial intelligence changes across the US

Flipboard

An increasing number of companies are using artificial intelligence (AI) for everyday tasks. Much of the technology is helping with productivity and keeping the public safer. However, some industries are pushing back against certain aspects of AI.

More Trending

article thumbnail

Now Hear This: World’s Most Flexible Sound Machine Debuts

NVIDIA

A team of generative AI researchers created a Swiss Army knife for sound, one that allows users to control the audio output simply using text. While some AI models can compose a song or modify a voice, none have the dexterity of the new offering. Called Fugatto (short for Foundational Generative Audio Transformer Opus 1), it generates or transforms any mix of music, voices and sounds described with prompts using any combination of text and audio files.

article thumbnail

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

LLM 128
article thumbnail

Canadian news companies sue OpenAI

Flipboard

A group of Canadian news and media companies filed a lawsuit Friday against OpenAI, alleging that the ChatGPT maker has infringed their copyrights and unjustly enriched itself at their expense.

OpenAI 181
article thumbnail

Prescriptive AI: The Smart Decision-Maker for Healthcare, Logistics, and Beyond

Unite.AI

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. With the vast amount of data available, many industries face the critical challenge of acting on real-time insights. This is where prescriptive AI steps in. Unlike traditional predictive models, which simply forecast outcomes based on past data, prescriptive AI recommends specific actions to achieve optimal results.

Algorithm 276
article thumbnail

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.

article thumbnail

Retrieval-Augmented Generation (RAG): Deep Dive into 25 Different Types of RAG

Marktechpost

Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This synergy improves accuracy and ensures contextual relevance, creating systems capable of addressing highly specific user needs. Below is a detailed exploration of the 25 types of RAG architectures and their distinct applications.

article thumbnail

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock

AWS Machine Learning Blog

Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Furthermore, these prompts are specific to a model and task, and performance isn’t guaranteed when they are used with a different FM.

article thumbnail

Study of ChatGPT citations makes dismal reading for publishers

Flipboard

As more publishers cut content licensing deals with ChatGPT-maker OpenAI, a study put out this week by the Tow Center for Digital Journalism — looking at how the AI chatbot produces citations (i.e. sources) for publishers’ content — makes for interesting, or, well, concerning, reading.

ChatGPT 181
article thumbnail

How Good Are People at Detecting AI?

Unite.AI

As AI advances, AI-generated images and text are becoming increasingly indistinguishable from human-created content. Whether in the form of realistic deepfake videos, art or sophisticated chatbots, these creations often leave people wondering if they can tell the difference between what is real and what is AI-made. Explore how accurately people can detect AI-generated content and compare that accuracy to their perceptions of their abilities.

AI 285
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

Hugging Face Releases SmolVLM: A 2B Parameter Vision-Language Model for On-Device Inference

Marktechpost

In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The challenge lies in balancing performance with resource requirements, particularly for devices like laptops, consumer GPUs, or mobile devices. Many vision-language models (VLMs) require significant computational power and memory, making them impractical for on-device applications.

article thumbnail

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.

ML 121
article thumbnail

ChatGPT’s $8 Trillion Birthday Gift to Big Tech

Flipboard

Two years in, generative AI’s value to the world is still unclear. But these charts show that it’s been a bonanza for the largest tech firms. Saturday marks two years since OpenAI posted an oddly named widget called ChatGPT to the web.

OpenAI 181
article thumbnail

Navigating the 2025 Challenges of Adopting Enterprise AI

Unite.AI

The business world has witnessed a phenomenal surge in the adoption of artificial intelligence (AI) — and specifically generative AI (Gen AI). According to Deloitte estimates , enterprise spending on Gen AI in 2024 is poised to increase by 30 percent from the 2023 figure of USD 16 billion. In just a year, this technology has exploded on the scene to reshape strategic roadmaps of organizations.

AI 260
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

Four Cutting-Edge Methods for Evaluating AI Agents and Enhancing LLM Performance

Marktechpost

The advent of LLMs has propelled advancements in AI for decades. One such advanced application of LLMs is Agents, which replicate human reasoning remarkably. An agent is a system that can perform complicated tasks by following a reasoning process similar to humans: think (solution to the problem), collect (context from past information), analyze(the situations and data), and adapt (based on the style and feedback).

LLM 118
article thumbnail

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.

116
116
article thumbnail

AI Outperforms Experts in Predicting Study Outcomes

Flipboard

A new study demonstrates that large language models (LLMs) can predict the outcomes of neuroscience studies more accurately than human experts, achieving 81% accuracy compared to 63% for neuroscientists.

article thumbnail

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.

article thumbnail

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

10 Types of Machine learning Algorithms and Their Use Cases

Marktechpost

In today’s world, you’ve probably heard the term “Machine Learning” more than once. It’s a big topic, and if you’re new to it, all the technical words might feel confusing. Let’s start with the basics and make it easy to understand. Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming.

article thumbnail

Tendencias futuras en la gestión de riesgos bancarios

SAS Software

De cara a 2025, la transformación de la banca global es inminente. Aunque tradicionalmente el sector ha sido cauteloso y lento para adaptarse, la incertidumbre y los desafíos recientes lo están forzando a salir de su zona de confort. La agilidad y la capacidad de adaptación se han vuelto esenciales. [.] The post Tendencias futuras en la gestión de riesgos bancarios appeared first on SAS Blogs.

116
116
article thumbnail

Linkup connects LLMs with premium content sources (legally)

Flipboard

If you’ve used ChatGPT Search or Perplexity you know that being able to search the web and get citations inline greatly improves these AI chatbots. Results are better when they involve timely information, and web search may reduce so-called hallucinations (i.e.

article thumbnail

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.

LLM 112
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

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.

article thumbnail

Microsoft Promises It Isn't Using Office Docs to Train AI

Extreme Tech

All of the recent hullabaloo surrounding Microsoft 365's 'connected experiences' has been a misunderstanding, per the company.

AI 116
article thumbnail

AI Won't Replace Humans – Here's The Surprising Reason Why

Flipboard

The first time a computer beat a human chess champion, doomsayers proclaimed it was the beginning of the end. That was nearly three decades ago, and contrary to those dire predictions, humans haven't become obsolete – we've thrived.