Fri.Feb 23, 2024

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Mistral Next: The Latest GPT-4 Competitor from Mistral AI

Analytics Vidhya

French AI startup Mistral AI has unveiled its latest prototype language model, “Mistral Next,” sparking excitement and curiosity within the tech community. Positioned as a potential competitor to renowned models like GPT-4, Mistral Next promises advanced capabilities and a commitment to ethical conversation. Let’s delve into the details of this new release.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Today, people don’t just prefer instant communication; they expect it. Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Top 7 Strategies to Mitigate Hallucinations in LLMs

Analytics Vidhya

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction. However, alongside their progression, a new challenge has surfaced: Hallucinations.

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10 Best Prompt Engineering Courses

Unite.AI

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. As AI systems, particularly language models like GPT, become increasingly sophisticated, the ability to effectively communicate with these models has gained paramount importance. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

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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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7 Most Common Questions Around LLMs

Analytics Vidhya

Introduction How does your phone predict your next word, or how does an online tool fine-tune your emails effortlessly? The powerhouse behind these conveniences are Large Language Models. But what exactly are these LLMs, and why are they becoming a hot topic of conversation? The global market for these advanced systems hit a whopping $4.35 […] The post 7 Most Common Questions Around LLMs appeared first on Analytics Vidhya.

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30+ MCQs on Python Abstraction and Encapsulation

Analytics Vidhya

Welcome to the Python Abstraction and Encapsulation MCQs! Abstraction and encapsulation are fundamental concepts in object-oriented programming (OOP) that promote code organization, reusability, and security. Abstraction involves hiding unnecessary details and showing only essential features of an object, while encapsulation involves bundling the data and methods that operate on the data into a single unit. […] The post 30+ MCQs on Python Abstraction and Encapsulation appeared first on Ana

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How to implement the General Data Protection Regulation (GDPR)

IBM Journey to AI blog

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Even the world’s biggest businesses are not free from GDPR woes. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

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Building a Modern App with TikTok’s “Depth Anything” Depth Estimation Model

Analytics Vidhya

Introduction 2024 has started with more advancements in artificial intelligence. All the predictions on AI growth have started to unfold. In a groundbreaking move, TikTok has recently introduced “Depth Anything,” a state-of-the-art Monocular Depth-Estimation (MDE) model. In a nutshell, this leverages a combination of 1.5 million labeled and 62 million unlabeled images, making it a […] The post Building a Modern App with TikTok’s “Depth Anything” Depth Estimation Model app

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Lucjan Suski, Co-Founder & CEO of Surfer – Interview Series

Unite.AI

Lucjan Suski is the co-founder and CEO of Surfer , an all-in-one platform for keyword research, content creation, optimization and search engine optimization (SEO) growth management. When did you initially get interested in search engine optimization? SEO has always fascinated me from the perspective of a product person. Most of the tools that were built in this space had inferior UX compared to what I was used to working as a Product Engineer for several product startups across different fields

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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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Welcome to the AI Shopping Wonderland: A Glimpse into Your Future Mall Trips

Aiiot Talk

Hey there, savvy shoppers! Let’s dive into the exciting world of AI-driven retail, a place where shopping gets a personal touch like never before. By 2024, shopping won’t just be about snagging deals; it’s about embarking on a journey with your AI buddy who knows you better than anyone else. Ready to explore the cool and personalized world of AI in retail?

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Guiding Instruction-Based Image Editing via Multimodal Large Language Models

Unite.AI

Visual design tools and vision language models have widespread applications in the multimedia industry. Despite significant advancements in recent years, a solid understanding of these tools is still necessary for their operation. To enhance accessibility and control, the multimedia industry is increasingly adopting text-guided or instruction-based image editing techniques.

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AI Is Streamlining Quality Control in Medicine Manufacturing

Aiiot Talk

Quality control is a crucial but inefficient process in most manufacturing applications. Medicine producers face even more challenges than most. Their quality standards are higher, but if production is too slow, it could limit access to potentially life-saving treatments. AI could turn things around for the industry. As machine learning techniques have improved, more medical manufacturers have turned to AI to streamline and refine their quality assurance (QA).

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New Utterance Controls for Real-Time Transcription

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord New Features for Real-Time Transcription: Custom Silence Threshold and Utterance Control You can now customize the silence threshold for automatic utterance detection and programmatically force the end of an utterance, giving you precise control over when your real-time stream produces a final transcript.

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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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Building Trustworthy Systems in Compliance with Data Privacy Standards

Aiiot Talk

Data privacy has grown to be a major concern for both individuals and companies in the current digital environment.The amount of personal data being collected and processed is increasing. Therefore, it is essential to establish reliable systems that protect individual privacy while also providing valuable data and analysis. We will discuss the importance of data privacy, its obstacles, and the pilot idea of differential privacy as a means of creating reliable systems that adhere to data privacy

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Meet Google Deepmind’s ReadAgent: Bridging the Gap Between AI and Human-Like Reading of Vast Documents!

Marktechpost

In an era where digital information proliferates, the capability of artificial intelligence (AI) to digest and understand extensive texts is more critical than ever. Despite their language prowess, traditional Large Language Models (LLMs) falter when faced with long documents, primarily due to inherent constraints on processing lengthy inputs. This limitation hampers their utility in scenarios where comprehension of vast texts is essential, underscoring a pressing need for innovative solutions t

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Top 11 AI Call Center Software for 2024

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. While digital channels are booming, phone support remains crucial for many customers. Although digital channels are growing rapidly, phone support remains an essential communication medium for many customers. However, phone interactions can be tedious, expensive, and hard to track.

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Breaking Barriers in Language Understanding: How Microsoft AI’s LongRoPE Extends Large Language Models to a 2048k Token Context Window

Marktechpost

Large language models (LLMs) have witnessed significant advancements, aiming to enhance their capabilities for interpreting and processing extensive textual data. LLMs like GPT-3 have revolutionized our interactions with AI, offering insights and analyses across various domains, from writing assistance to complex data interpretation. However, a key limitation has been their context window size, the amount of text they can consider in a single instance.

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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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Gemma: Small, Powerful, and Redefining Open Source AI Ethics

Towards AI

Author(s): Jelle Van Bost Originally published on Towards AI. Google’s new model offers impressive performance alongside a unique licensing approach designed to promote innovation and responsible use.Image generated by the author on [link] Google’s new open-source model, Gemma, is shaking up the landscape of Large Language Models (LLMs). Despite its size (with 7B and 2B parameter variants), Gemma’s performance is remarkable, rivaling the performance of larger open-source models.

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Charting New Frontiers: Stanford University’s Pioneering Study on Geographic Bias in AI

Marktechpost

The issue of bias in LLMs is a critical concern as these models, integral to advancements across sectors like healthcare, education, and finance, inherently reflect the biases in their training data, predominantly sourced from the internet. The potential for these biases to perpetuate and amplify societal inequalities necessitates a rigorous examination and mitigation strategy, highlighting a technical challenge and a moral imperative to ensure fairness and equity in AI applications.

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Top 11 AI-Powered Image Generators in 2024

Towards AI

Last Updated on February 23, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. AI image generators are a game-changing solution that can generate unique visuals from text prompts. AI art generators offer a time-saving, cost-effective solution for businesses. It can help professionals and organizations enhance their design portfolio, elevate social media content, or make presentations more engaging.

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This Machine Learning Research from Yale and Google AI Introduce SubGen: An Efficient Key-Value Cache Compression Algorithm via Stream Clustering

Marktechpost

Large language models (LLMs) face challenges in generating long-context tokens due to high memory requirements for storing all previous tokens in the attention module. This arises from key-value (KV) caching. LLMs are pivotal in various NLP applications, relying on the transformer architecture with attention mechanisms. Efficient and accurate token generation is crucial.

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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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Clustering with Scikit-Learn: a Gentle Introduction

Towards AI

Author(s): Riccardo Andreoni Originally published on Towards AI. Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. You find yourself in a vast library with countless books scattered on the shelves. Each book is a unique piece of information, and your goal is to organize them based on their characteristics.

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How Google DeepMind’s AI Bypasses Traditional Limits: The Power of Chain-of-Thought Decoding Explained!

Marktechpost

In the rapidly evolving field of artificial intelligence, the quest for enhancing the reasoning capabilities of large language models (LLMs) has led to groundbreaking methodologies that push the boundaries of what machines can understand and solve. Traditionally, applying LLMs to complex reasoning tasks has depended heavily on the craft of prompting, requiring models to follow specific instructions or logic patterns outlined by humans.

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OMG-Seg: 10 Segmentation Tasks in 1 Framework (2024)

Viso.ai

The concept of image segmentation has formed the basis of various modern Computer Vision (CV) applications. Segmentation models help computers understand the various elements and objects in a visual reference frame, such as an image or a video. Various kinds of segmentation techniques exist, such as panoptic or semantic segmentation. Each of these models has different working principles and applications.

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Unifying Language Understanding and Generation: The Revolutionary Impact of Generative Representational Instruction Tuning (GRIT)

Marktechpost

The quest for a model that seamlessly navigates language tasks’ generative and embedding dimensions has been a formidable challenge. Language models have been tailored to specialize in generating coherent and contextually relevant text or translating text into numerical representations, known as embeddings, that capture the essence of the language for various computational tasks.

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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.

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3 strategies for navigating financial turbulence in 2024

SAS Software

From the collapse of Silicon Valley Bank to sky-high interest rates, 2023 was a roller coaster year for financial services. In 2024, there’s hope for greater calm as leaders try to maintain customer satisfaction, industry trust and stability. Bringing about a sense of calm while maintaining business integrity requires a [.

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This AI Paper from Cohere AI Reveals Aya: Bridging Language Gaps in NLP with the World’s Largest Multilingual Dataset

Marktechpost

Datasets are an integral part of the field of Artificial Intelligence (AI), especially when it comes to language modeling. The ability of Large Language Models (LLMs) to respond to instructions efficiently is attributed to the fine-tuning of pre-trained models, which has led to recent advances in Natural Language Processing (NLP). This process of Instruction Fine-Tuning (IFT) requires annotated and well-constructed datasets.

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Nvidia Says Demand for Its Next-Gen Hardware Will Exceed Supply

Extreme Tech

The company has already seen record revenues thanks to unprecedented demand for its AI products.

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