Tue.Feb 27, 2024

article thumbnail

How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

LLM 315
article thumbnail

Empathetic AI: Transforming Mental Healthcare and Beyond with Emotional Intelligence

Unite.AI

In an era where technology and humanity increasingly intertwine, the rise of empathetic AI represents a significant step forward in bridging the gap between technology and human emotion. This emerging field, where artificial intelligence is infused with the subtleties of human emotion, signals a shift in how we approach mental health care and beyond, suggesting a future where AI not only comprehends but also sensitively responds to our emotional needs.

professionals

Sign Up for our Newsletter

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

article thumbnail

Microsoft Invests in Mistral AI to Launch GPT-4 Rival

Analytics Vidhya

In a significant move within the AI industry, Microsoft has forged a strategic partnership with Mistral AI, to revolutionize generative artificial intelligence. The first outcome of their partnership is Mistral Large, a language model proven to be as good as OpenAI’s GPT-4. This partnership signals a paradigm shift in the landscape of AI innovation.

article thumbnail

Mistral AI unveils LLM rivalling major players

AI News

Mistral AI, a France-based startup, has introduced a new large language model (LLM) called Mistral Large that it claims can compete with several top AI systems on the market. Mistral AI stated that Mistral Large outscored most major LLMs except for OpenAI’s recently launched GPT-4 in tests of language understanding. It also performed strongly in maths and coding assessments.

LLM 243
article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

Samsung Introduces Galaxy Ring: A Smart Wellness Companion

Analytics Vidhya

Samsung wows attendees at the Mobile World Congress (MWC) 2024 in Barcelona with the unveiling of its latest innovation, the Galaxy Ring. This smart ring promises to revolutionize the wearable tech market by offering users a seamless and intuitive way to monitor their health and wellness. Also Read: Old Samsung Devices to get Galaxy AI […] The post Samsung Introduces Galaxy Ring: A Smart Wellness Companion appeared first on Analytics Vidhya.

AI 295

More Trending

article thumbnail

30+ MCQs on Python Exception Handling

Analytics Vidhya

Welcome to the Python Exception Handling MCQs! Exception handling is a crucial aspect of programming that allows you to gracefully handle errors and unexpected situations in your code. In Python, exceptions are raised when an error occurs during program execution, and they can be caught and handled using try-except blocks. These questions will test your […] The post 30+ MCQs on Python Exception Handling appeared first on Analytics Vidhya.

Python 294
article thumbnail

Unleash the Power of AI to Boost Your Customer Connections

Unite.AI

In a game of inches, communication service providers (CSPs) are looking for tools or practices to help them get ahead. With revenue in the communications services market projected to reach $337 billion in 2024, there’s inevitably a lot at stake. To explore how CSPs can gain a competitive advantage and get ahead of the competition in this growing market, let’s take a look at the potential impact of connecting with customers on their terms and leveraging generative AI (GenAI) to personalize those

AI 147
article thumbnail

PowerPoint Presentations Made East With GAMMA

Analytics Vidhya

Introduction PowerPoint has long been the reigning champion in creating presentations for clients or other important meetings. However, with the rise of AI-powered tools, a new contender has emerged: GAMMA. It is a web-based presentation builder that utilizes AI to help you create compelling and visually engaging presentations in minutes. You no longer need to […] The post PowerPoint Presentations Made East With GAMMA appeared first on Analytics Vidhya.

AI 293
article thumbnail

Carolyn Harvey, Chief Operations Officer at LXT – Interview Series

Unite.AI

Carolyn Harvey has extensive experience leading and growing global operations in the field of search relevance ranking and annotation for ML data. Carolyn is currently Chief Operations Officer (COO) of LXT where she leads the company’s global operations division, ensuring consistent delivery of all AI data programs and projects. She focuses on high-quality data at scale, building efficiencies in long-term programs and scaling across large numbers of global locales.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

Understanding Metaprogramming with Metaclasses in Python

Analytics Vidhya

Introduction Metaprogramming is a fascinating aspect of software development, allowing developers to write programs that manipulate code itself, altering or generating code dynamically. This powerful technique opens up a world of possibilities for automation, code generation, and runtime modifications. In Python, metaprogramming with metaclasses is not just a feature but an integral part of the […] The post Understanding Metaprogramming with Metaclasses in Python appeared first on Analytic

Python 284
article thumbnail

Detect scam calls using Go with LeMUR and Twilio

AssemblyAI

As technology advances, scam attempts are becoming increasingly sophisticated, and harder to identify. Speech AI uses recent advances in speech recognition and generative AI to understand spoken language, and can give us an upper hand against scammers.  In this tutorial, you’ll build an application that uses Speech AI to transcribe a phone call and identify scam attempts.

LLM 147
article thumbnail

7 Tools to Create Engaging Presentations

Analytics Vidhya

Introduction Visual presentations are indispensable for effective communication. Whether you’re a student, professional, or entrepreneur, mastering the art of crafting engaging and informative presentations is vital. This article will explore seven tools to help you create stunning presentations that will captivate your audience and effectively convey your message.

article thumbnail

Meta AI Introduces MAGNET: The First Pure Non-Autoregressive Method for Text-Conditioned Audio Generation

Marktechpost

Recent advancements in self-supervised representation learning, sequence modeling, and audio synthesis have significantly enhanced the performance of conditional audio generation. The prevailing approach involves representing audio signals as compressed representations, either discrete or continuous, upon which generative models are applied. Various works have explored methods, such as applying a Vector Quantized Variational Autoencoder (VQ-VAE) directly on raw waveforms or training conditional

AI 143
article thumbnail

Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

article thumbnail

How to Build a GPT Tokenizer?

Analytics Vidhya

Introduction Tokenization is the bedrock of large language models (LLMs) such as GPT tokenizer, serving as the fundamental process of transforming unstructured text into organized data by segmenting it into smaller units known as tokens. In this in-depth examination, we meticulously explore the critical role of tokenization in LLMs, highlighting its essential contribution to language […] The post How to Build a GPT Tokenizer?

article thumbnail

Researchers from the University of Pennsylvania and Vector Institute Introduce DataDreamer: An Open-Source Python Library that Allows Researchers to Write Simple Code to Implement Powerful LLM Workflow

Marktechpost

The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these models have opened new frontiers in research and application development. Yet, the adoption of LLMs has its challenges. The complexity of managing these models and the technical and financial barriers associated with their operation present significant challenges.

LLM 137
article thumbnail

The Complete Guide to User-Defined Exceptions in Python

Analytics Vidhya

Introduction Exception handling stands as a pivotal skill in programming, allowing adept maneuvering through errors and unforeseen circumstances with grace. Python, equipped with an array of built-in exceptions, acknowledges scenarios where developers might find it necessary to tailor exceptions to their unique needs. This article delves into the realm of user-defined exceptions in Python, elucidating […] The post The Complete Guide to User-Defined Exceptions in Python appeared first on An

Python 283
article thumbnail

In 2019 LM output was fluent but not trustworthy: still true in 2024

Ehud Reiter

In my NLG course a few weeks ago, I tried to give a very high level description of what LLMs can and cannot do from an NLG perspective, and ended up saying that they produced texts which were very fluent but could not be trusted content-wise. After I said this, I realised that I said pretty much the same thing 5 years ago. Ie, despite all the progress in neural LLMs since 2019, my ultra-high-level description of what they can do has not changed.

LLM 109
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

Understanding Abstraction in Python: Simplifying Complex Concepts

Analytics Vidhya

Introduction Abstraction is a fundamental concept in Python programming that allows us to simplify complex concepts and focus on the essential details. It involves hiding unnecessary details and exposing only the relevant information to the users. In this article, we will explore what an abstract class is, how abstraction in Python works, and what benefits […] The post Understanding Abstraction in Python: Simplifying Complex Concepts appeared first on Analytics Vidhya.

Python 283
article thumbnail

This Machine Learning Research from Amazon Introduces BASE TTS: A Text-to-Speech (TTS) Model that Stands for Big Adaptive Streamable TTS with Emergent Abilities

Marktechpost

Recent advancements in generative deep learning models have revolutionized fields such as Natural Language Processing (NLP) and Computer Vision (CV). Previously, specialized models with supervised training dominated these domains, but now, a shift towards generalized models capable of performing diverse tasks with minimal explicit guidance is evident.

article thumbnail

How to Plot Heatmaps in Seaborn?

Analytics Vidhya

Introduction Within the domain of data visualization, heatmaps distinguish themselves for their adeptness in portraying intricate data sets in a visually intuitive manner. Seaborn, a Python library constructed on top of Matplotlib, presents a sophisticated interface for crafting visually appealing and informative statistical graphics, heatmaps included.

Python 282
article thumbnail

Microsoft Present AI Controller Interface: Generative AI with a Lightweight, LLM-Integrated Virtual Machine (VM)

Marktechpost

The rise of Large Language Models (LLMs) has transformed text creation and computing interactions. These models’ lack of ensuring content accuracy and adherence to specific formats like JSON remains challenging. LLMs handling data from diverse sources encounter difficulties maintaining confidentiality and security, which is crucial in sectors like healthcare and finance.

LLM 128
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

article thumbnail

30+ MCQs on Python Regular Expression

Analytics Vidhya

Welcome to the Python Regular Expression MCQs! Regular expressions, often abbreviated as “regex,” are powerful tools for pattern matching and searching in strings. In Python, the re module provides support for regular expressions, allowing you to search, match, and manipulate text based on specific patterns. These questions will test your understanding of various aspects of […] The post 30+ MCQs on Python Regular Expression appeared first on Analytics Vidhya.

Python 282
article thumbnail

Microsoft AI Research Introduces UFO: An Innovative UI-Focused Agent to Fulfill User Requests Tailored to Applications on Windows OS, Harnessing the Capabilities of GPT-Vision

Marktechpost

Microsoft has recently released UFO, a UI-focused agent for specialized Windows OS Interaction. UFO addresses the challenges faced in interacting with the graphical user interface (GUI) of applications on the Windows operating system (OS) through natural language commands. LLMs have shown successful results in understanding and executing textual commands, but LLMs still are not able to navigate and operate within the UI of Windows applications.

article thumbnail

10 Advanced Plots for Effective Data Visualization with Matplotlib

Analytics Vidhya

Introduction Matplotlib is a fundamental Python library, empowers you to create various visualizations to explore and communicate your data effectively. While basic plots like bar charts and scatter plots are essential, delving into advanced visualizations can unlock deeper insights and enhance your storytelling. Here are the top 10 advanced plots you can create with Matplotlib!

Python 280
article thumbnail

Meta Releases Aria Everyday Activities (AEA) Dataset: An Egocentric Multimodal Open Dataset Recorded Using Project Aria Glasses

Marktechpost

The introduction of Augmented Reality (AR) and wearable Artificial Intelligence (AI) gadgets is a significant advancement in human-computer interaction. With AR and AI gadgets facilitating data collection, there are new possibilities to develop highly contextualized and personalized AI assistants that function as an extension of the wearer’s cognitive processes.

article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

How to Enhance RAG Performance with CRAG?

Analytics Vidhya

Introduction In this article we will learn to enhance RAG performance with CRAG. The word RAG has been floating around for a while and for all the good reasons. Large language models made it possible to build solutions for problems that were difficult before. Question and Answering over large amounts of data was one such […] The post How to Enhance RAG Performance with CRAG?

article thumbnail

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

This is a guest post written by Axfood AB. In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Axfood is Sweden’s second largest food retailer, with over 13,000 employees and more than 300 stores.

article thumbnail

Optimize Project and Team Management With AI

Analytics Vidhya

Introduction Project and team management are crucial aspects of any organization’s success. With the advancement of technology, various tools have been developed to streamline these processes and enhance productivity. One such tool that has gained popularity in recent years is Ayanza. In this article, we will explore the features of Ayanza, its benefits, how to […] The post Optimize Project and Team Management With AI appeared first on Analytics Vidhya.

AI 167