Mon.Aug 12, 2024

article thumbnail

I Have Booked my Seat. Here’s How You can Register for NVIDIA AI Summit 2024.

Analytics Vidhya

Introduction After the successful wrap-up of the much-awaited Datahack Summit 2024, India will witness another big event: the NVIDIA AI Summit 2024. It is scheduled for October 23rd and 25th at the Jio World Conventional Centre in Mumbai, India. With the release of the notification, you might be wondering what to expect from this event. […] The post I Have Booked my Seat.

AI 302
article thumbnail

AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Digital data has exploded in recent decades. Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that. Big.

Big Data 278
professionals

Sign Up for our Newsletter

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

article thumbnail

Smart Subject Email Line Generation with Word2Vec

Analytics Vidhya

Introduction Imagine you’re tasked with crafting the perfect subject line for a crucial email campaign, but standing out in a crowded inbox seems daunting. This article offers a solution with a step-by-step guide to Smart Subject Email Line Generation with Word2Vec. Discover how to harness the power of Word2Vec embeddings to create compelling and contextually […] The post Smart Subject Email Line Generation with Word2Vec appeared first on Analytics Vidhya.

article thumbnail

Flux by Black Forest Labs: The Next Leap in Text-to-Image Models. Is it better than Midjourney?

Unite.AI

Black Forest Labs , the team behind the groundbreaking Stable Diffusion model, has released Flux – a suite of state-of-the-art models that promise to redefine the capabilities of AI-generated imagery. But does Flux truly represent a leap forward in the field, and how does it stack up against industry leaders like Midjourney? Let's dive deep into the world of Flux and explore its potential to reshape the future of AI-generated art and media.

article thumbnail

How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

article thumbnail

ChatTTS: Transform Your Text into Speech

Analytics Vidhya

Introduction Imagine you’re creating a podcast or crafting a virtual assistant that sounds as natural as a real conversation. That’s where ChatTTS comes in. This cutting-edge text-to-speech tool turns your written words into lifelike audio, capturing nuances and emotions with incredible precision. Picture this: you type out a script, and ChatTTS brings it to life […] The post ChatTTS: Transform Your Text into Speech appeared first on Analytics Vidhya.

More Trending

article thumbnail

What are Relative, Absolute, and Mixed References in Excel?

Analytics Vidhya

Introduction When I first started working with spreadsheets, I was baffled by how formulas behaved when copied across cells. Sometimes, they worked perfectly, while others went completely haywire. I didn’t realize it then, but by mastering spreadsheets, I understand how references—relative, absolute, and mixed—function. Once I grasped this concept, my productivity skyrocketed.

289
289
article thumbnail

Intel’s AI fumble: How the chip giant missed a big opportunity

AI News

In the fast-paced world of technology, missing the next big thing can be costly. For Intel , the semiconductor titan that once reigned supreme in the computer age, one such moment came and went quietly between 2017 and 2018. It was then that the company declined an opportunity that, in hindsight, appears to have been a golden ticket to the AI revolution.

OpenAI 230
article thumbnail

What is Data Scrubbing?

Analytics Vidhya

Introduction Think of the fact that you’re planning a massive family gathering. You have a list of attendees, but it is full of wrong contacts, the same contacts and some of the names in the list are spelled wrongly. If you do not take your time to clean up this list, then there is every […] The post What is Data Scrubbing? appeared first on Analytics Vidhya.

article thumbnail

Introducing the AssemblyAI Ruby SDK

AssemblyAI

We are thrilled to release the AssemblyAI Ruby SDK , making it easier to use the latest Speech AI models from AssemblyAI with Ruby. Use the SDK to transcribe audio, analyze audio using our audio intelligence models, and apply LLMs to your audio data using LeMUR. Here are a couple of examples showcasing the Ruby SDK. 1. Transcribe an audio file require 'assemblyai' client = AssemblyAI::Client.new(api_key: 'YOUR_API_KEY') transcript = client.transcripts.transcribe( audio_url: &

LLM 167
article thumbnail

The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

article thumbnail

Expert Systems in AI

Analytics Vidhya

Introduction Just consider the fact that you can always consult with an advisor and get advanced level and quality solutions to tackling issues that range from diseases to financial planning to engineering. This is the role of experts in systems in artificial intelligence. Knowledge-based systems simulate the capabilities of a human expert, providing the user […] The post Expert Systems in AI appeared first on Analytics Vidhya.

article thumbnail

Maximizing compliance: Integrating gen AI into the financial regulatory framework

IBM Journey to AI blog

In an era where financial institutions are under increasing scrutiny to comply with Anti-Money Laundering (AML) and Bank Secrecy Act (BSA) regulations, leveraging advanced technologies like generative AI presents a significant opportunity. Large Language Models (LLMs) such as GPT-4 can enhance AML and BSA programs, driving compliance and efficiency in the financial sector, but there are risks involved with deploying gen AI solutions to production.

article thumbnail

What is Customer Success? The key role of technical customer success and support teams in winning and retaining customers

AssemblyAI

Customer success (CS) and support teams are often the unsung heroes behind a company's success, especially in technical fields like AI where the implementation is new or more nuanced. These teams don't just solve problems—they build relationships, foster loyalty, and ultimately drive continued business growth and success. And for many prospective customers, the quality of customer support can be a deciding factor when choosing a service.

article thumbnail

Technology Lifecycle Services: Envisioning the next generation of support with AI

IBM Journey to AI blog

As companies integrate AI to enhance customer experiences and optimize business processes, AI is becoming ingrained in their operating models. This has created a need to effectively design, deploy, and support the underlying infrastructure for smooth operations of AI-enhanced mission-critical applications. IBM Technology Lifecycle Support (TLS) provides a wide range of integrated data center services and support designed to help accelerate our clients’ transformation to hybrid cloud and AI

article thumbnail

How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

article thumbnail

Apple Researchers Present KGLens: A Novel AI Method Tailored for Visualizing and Evaluating the Factual Knowledge Embedded in LLMs

Marktechpost

Large Language Models (LLMs) have gained significant attention for their versatility, but their factualness remains a critical concern. Studies have revealed that LLMs can produce nonfactual, hallucinated, or outdated information, undermining reliability. Current evaluation methods, such as fact-checking and fact-QA, face several challenges. Fact-checking struggles to assess the factualness of generated content, while fact-QA encounters difficulties scaling up evaluation data due to expensive an

article thumbnail

AI agents evolve rapidly, challenging human oversight

IBM Journey to AI blog

Silicon Valley investor Marc Andreessen has transferred $50,000 in Bitcoin to an X AI bot. The recipient, known as “Truth Terminal” or @truth_terminal , is a semi-autonomous AI agent that has been active on the platform since mid-June and has gained a following among tech enthusiasts and AI aficionados. The exchange began when Andreessen, co-founder of venture capital firm Andreessen Horowitz, inquired about the bot’s goals and financial needs.

AI 133
article thumbnail

HybridRAG: A Hybrid AI System Formed by Integrating Knowledge Graphs and Vector Retrieval Augmented Generation Outperforming both Individually

Marktechpost

Financial data analysis plays a critical role in the decision-making processes of analysts and investors. The ability to extract relevant insights from unstructured text, such as earnings call transcripts and financial reports, is essential for making informed decisions that can impact market predictions and investment strategies. However, this task is complicated by the specialized language and varied formats within these documents, posing significant challenges to traditional data extraction m

Hybrid AI 126
article thumbnail

Long Context RAG Performance of LLMs

databricks

Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.

article thumbnail

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

article thumbnail

Researchers at FPT Software AI Center Introduce XMainframe: A State-of-the-Art Large Language Model (LLM) Specialized for Mainframe Modernization to Address the $100B Legacy Code Modernization

Marktechpost

Introduction Mainframe operating systems, originating in the 1940s, remain essential to critical sectors such as finance and government. However, the vast legacy of COBOL code—estimated by IBM to be around 200 to 220 billion lines—needs to be migrated to modern platforms and rewritten in contemporary programming languages. This task is monumental, with the cost of rewriting COBOL code using human resources estimated at 32 to 50 cents per line, presenting a $100 billion challenge.

article thumbnail

Supernovas, Black Holes and Streaming Data

databricks

The blog explores data streams from NASA satellites using Apache Kafka and Databricks. It demonstrates ingestion and transformation with Delta Live Tables in SQL and AI/BI-powered analysis of supernova events.

AI 109
article thumbnail

This AI Paper by Apple Introduces Matryoshka Diffusion Models: A Hierarchical Approach for Efficient High-Resolution Image Generation

Marktechpost

Diffusion models have set new benchmarks for generating realistic, intricate images and videos. However, scaling these models to handle high-resolution outputs remains a formidable challenge. The primary issues revolve around the significant computational power and complex optimization processes required, which make it difficult to implement these models efficiently in practical applications.

AI 111
article thumbnail

Thomson Reuters Launches ‘CoCounsel 2.0’ As Legal GenAI War Grows

Artificial Lawyer

Thomson Reuters has now fired off its latest salvo in the legal genAI war with the launch of CoCounsel 2.0, the new version of its genAI assistant. It will also tap Google’s Gemini LLM.

LLM 106
article thumbnail

11 KPIs for Measuring Innovation Success

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

article thumbnail

MedGraphRAG: An AI Framework for Improving the Performance of LLMs in the Medical Field through Graph Retrieval Augmented Generation (RAG)

Marktechpost

Large Language Models (LLMs), like ChatGPT and GPT-4 from OpenAI, are advancing significantly and transforming the field of Natural Language Processing (NLP) and Natural Language Generation (NLG), thus paving the way for the creation of a plethora of Artificial Intelligence (AI) applications indispensable to daily life. Even with these improvements, LLMs still have several difficulties when working in fields like finance, law, and medicine that demand specialized expertise.

article thumbnail

Building a Simple RAG Application Using LlamaIndex

Machine Learning Mastery

In this tutorial, we will explore Retrieval-Augmented Generation (RAG) and the LlamaIndex AI framework. We will learn how to use LlamaIndex to build a RAG-based application for Q&A over the private documents and enhance the application by incorporating a memory buffer. This will enable the LLM to generate the response using the context from both […] The post Building a Simple RAG Application Using LlamaIndex appeared first on MachineLearningMastery.com.

LLM 84
article thumbnail

VulScribeR: A Large Language Model-Based Approach for Generating Diverse and Realistic Vulnerable Code Samples

Marktechpost

In software engineering, detecting vulnerabilities in code is a crucial task that ensures the security & reliability of software systems. If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles. Over the years, the development of automated tools to detect these vulnerabilities has become increasingly important, particularly as software systems grow more complex and interconnected.

article thumbnail

Intel Arc Battlemage GPU Breaks Cover With 12GB of 19Gb/s VRAM

Extreme Tech

Intel has made some upgrades to its Battlemage line of discrete GPUs, due later this year.

122
122
article thumbnail

Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

article thumbnail

Img-Diff: A Novel Dataset for Enhancing Multimodal Language Models through Contrastive Learning and Image Difference Analysis

Marktechpost

Multimodal Language Models MLLMs architectures have evolved to enhance text-image interactions through various techniques. Models like Flamingo, IDEFICS, BLIP-2, and Qwen-VL use learnable queries, while LLaVA and MGM employ projection-based interfaces. LLaMA-Adapter and LaVIN focus on parameter-efficient tuning. Dataset quality significantly impacts MLLM effectiveness, with recent studies refining visual instruction tuning datasets to improve performance across question-answering tasks.

ML 111
article thumbnail

AMD Continues to Nibble Away at Intel's Market Share

Extreme Tech

The company's biggest gains are in the data center, where it's making a lot of money.

116
116
article thumbnail

Nous: An Open-Source TypesScript Platform for Building Autonomous AI Agents and LLM Workflows

Marktechpost

Building and managing such AI systems requires specialized knowledge due to the intricate interactions between various components. The AI landscape is fragmented, with disparate tools and libraries that lead to integration challenges and inconsistencies. This fragmentation hinders the ability to create standardized, interoperable, and reusable AI components, making the development process arduous and less accessible to a broader audience.

LLM 110