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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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.

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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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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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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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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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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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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?

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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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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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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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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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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.

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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 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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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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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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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.

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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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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 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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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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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.

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This Machine Learning Research Unveils Cutting-Edge Techniques for Cost-Effective Large Language Model Training

Marktechpost

Developing large language models (LLMs) represents a cutting-edge frontier. These models, trained to parse, generate, and interpret human language, are increasingly becoming the backbone of various digital tools and platforms, enhancing everything from simple automated writing assistants to complex conversational agents. Training these sophisticated models is an endeavor that demands substantial computational resources and vast datasets.

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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 Unveils REVEAL: A Groundbreaking Dataset for Benchmarking the Verification of Complex Reasoning in Language Models

Marktechpost

The prevailing approach for tackling complex reasoning tasks involves prompting language models to provide step-by-step answers, known as Chain-of-Thought (CoT) prompting. However, evaluating the correctness of reasoning steps is challenging due to the absence of high-quality, step-level annotated datasets. Recent efforts focus on automatic verification methods for reasoning chains, assessing informativeness and logical correctness.

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Surgery Robot Completes First Simulated Procedure on the ISS

Extreme Tech

Using a 30-inch robotic assistant, surgeons were able to slice delicately through rubber bands from here on Earth.

Robotics 111
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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.

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How To Copy Responses In Gemini AI (In 3 Easy Steps)

Ofemwire

Struggling to copy text in Gemini AI? You’re not alone! Many users face this issue. Gemini AI is full of useful info, but copying its text can be hard. There’s no direct “copy” button at the homepage, which can be frustrating. But dont worry, this guide offers various methods on how to copy responses in Gemini AI. Whether you’re on the web, Android app, or Gmail, we’ve got you covered.

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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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Charting New Waters: Skylight’s Work to Revolutionize Maritime Data Annotation

Allen AI

How our work to create a first-of-its-kind tool helps accelerate the way AI can protect our ocean A glimpse into Skylight’s latest annotation tool in action. Tailored to revolutionize our utilization of Automatic Identification System (AIS) data, this platform aids AI in comprehending the intricacies of vessel behavior. By Namrata Kolla, Joe Ferdinando, and Jordan Steward In the world of machine learning, the spotlight often shines on the outcomes of models that seem to read minds and predict fu