Analytics Vidhya

FEBRUARY 16, 2024

Meta continues its stride towards human-like machine intelligence with the release of the Video Joint Embedding Predictive Architecture (V-JEPA) model. This innovative step aims to enhance machines’ comprehension of the world by analyzing intricate interactions within videos. Moreover, it aligns with the vision of Meta’s VP & Chief AI Scientist, Yann LeCun, to develop advanced […] The post Meta’s V-JEPA: Revolutionizing Video Understanding in AI appeared first on Anal

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Unite.AI

FEBRUARY 16, 2024

As the digital user base expands globally, it is increasingly important for software enterprises to ensure that their applications and products are designed to handle large and growing amounts of data and traffic. It is also essential for these systems to be scalable and have the ability to handle a large and increased workload or amount of data in both linear and non-linear fashions.

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Analytics Vidhya

FEBRUARY 16, 2024

Google continues its stride in AI development with the introduction of Gemini 1.5, the latest iteration in its Gemini family of GenAI models. Following closely on the heels of Gemini 1.0, launched just a few months ago, this new model promises significant enhancements in performance, efficiency, and capabilities. Let’s delve deeper into what Gemini 1.5 […] The post Google Introduces Gemini 1.5: The Next Evolution in AI Models appeared first on Analytics Vidhya.

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AI Modeling AI AI AI Developer 306

Unite.AI

FEBRUARY 16, 2024

In the rapidly evolving digital landscape, the significance of having a unique and memorable domain name cannot be overstated. With the rise of artificial intelligence (AI) as a driving force in various sectors, acquiring a.AI domain has become a coveted strategy for tech companies, startups, and innovators looking to establish a strong online presence in this niche.

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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.

Analytics Vidhya

FEBRUARY 16, 2024

Introduction Getters and setters are essential to object-oriented programming (OOP) in Python. They provide a way to encapsulate data and control access to it. In this article, we will explore what getters and setters are, their benefits, and how to implement them in Python. We will also discuss best practices, provide examples, compare them with […] The post Getter and Setter in Python appeared first on Analytics Vidhya.

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Python 305

Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks. However, the exorbitant costs of training these models from scratch have prompted researchers to explore alternative […] The post Knowledge Fusion of Large Language Models (LLMs) appeared firs

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IBM Journey to AI blog

FEBRUARY 16, 2024

In many organizations, but not all, customer service is treated as part of the customer experience. Both are interested in driving customer satisfaction, but they focus on different parts of the customer journey to achieve it. So what are the key differences in customer service vs. customer experience? And why do both matter for your business? Customer experience , or CX, is a holistic accounting of customers’ perceptions resulting from all their interactions with a business or brand, whet

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Analytics Vidhya

FEBRUARY 16, 2024

As we step into 2024, the landscape of AI video creation tools is evolving rapidly. Synthesia AI has been a game-changer, but there are several other alternatives that are worth exploring. In this blog, we will delve into the top 6 Synthesia AI alternatives that are set to redefine the AI video creation space in […] The post Top 6 Synthesia AI Alternatives in 2024 appeared first on Analytics Vidhya.

AI 295

AI AI 295

Unite.AI

FEBRUARY 16, 2024

In the rapidly evolving digital landscape, the significance of having a unique and memorable domain name cannot be overstated. With the rise of artificial intelligence (AI) as a driving force in various sectors, acquiring a.AI domain has become a coveted strategy for tech companies, startups, and innovators looking to establish a strong online presence in this niche.

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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?

Generative AI

AI News

FEBRUARY 16, 2024

Google has unveiled its latest AI model, Gemini 1.5, which features what the company calls an “experimental” one million token context window. The new capability allows Gemini 1.5 to process extremely long text passages – up to one million characters – to understand context and meaning. This dwarfs previous AI systems like Claude 2.1 and GPT-4 Turbo, which max out at 200,000 and 128,000 tokens respectively: “Gemini 1.5 Pro achieves near-perfect recall on long-context retrieval tasks

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IBM Journey to AI blog

FEBRUARY 16, 2024

Breach and Attack Simulation (BAS) is an automated and continuous software-based approach to offensive security. Similar to other forms of security validation such as red teaming and penetration testing , BAS complements more traditional security tools by simulating cyberattacks to test security controls and provide actionable insights. Like a red team exercise, breach and attack simulations use the real-world attack tactics, techniques, and procedures (TTPs) employed by hackers to proactively i

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Unite.AI

FEBRUARY 16, 2024

Artificial Intelligence (AI) is everywhere. From smart assistants to self-driving cars , AI systems are transforming our lives and businesses. But what if there was an AI that could do more than perform specific tasks? What if there was a type of AI that could learn and think like a human or even surpass human intelligence? This is the vision of Artificial General Intelligence (AGI), a hypothetical form of AI that has the potential to accomplish any intellectual task that humans can.

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AssemblyAI

FEBRUARY 16, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord PII Redaction and Entity Detection In 13 New Languages 🇫🇷🇩🇪🇮🇳 We've expanded our  PII Redaction  and  Entity Detection  to include 13 new languages: Spanish, Finnish, French, German, Hindi, Italian, Korean, Polish, Portuguese, Russian, Turkish, Ukrainian, and Vietnamese.

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Neural Network Python Categorization Generative AI 147

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.

Unite.AI

FEBRUARY 16, 2024

Ivan Crewkov is the CEO & Co-Founder of Buddy AI , the world’s first conversational AI tutor for kids, on a mission to ensure all students are able to afford 1:1 English tutoring. After moving to the US from Siberia, Ivan witnessed his preschool-aged daughter struggle to learn English. This inspired him to build Buddy, a fictional character that kids can actually converse with through the power of generative AI.

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Natural Language Processing AI AI UX Design 173

Marktechpost

FEBRUARY 16, 2024

Mathematical reasoning in artificial intelligence represents a frontier that has long challenged researchers and developers. While effective for specific tasks, traditional computational methods often need to catch up when faced with the intricacies and nuances of complex mathematical problems. This limitation has spurred a quest for more sophisticated solutions, leading to exploring large language models (LLMs) as potential vehicles for advanced mathematical reasoning.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 137

AWS Machine Learning Blog

FEBRUARY 16, 2024

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts.

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Python Computer Vision Machine Learning Artificial Intelligence 117

Marktechpost

FEBRUARY 16, 2024

One of the most exciting developments in this field is the investigation of state-space models (SSMs) as an alternative to the widely used Transformer networks. These SSMs, distinguished by their innovative use of gating, convolutions, and input-dependent token selection, aim to overcome the computational inefficiencies posed by the quadratic cost of multi-head attention in Transformers.

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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.

Data Analysis

Towards AI

FEBRUARY 16, 2024

Last Updated on February 18, 2024 by Editorial Team Author(s): Arslan Shahid Originally published on Towards AI. A beginner to advanced guide to sunburst charts in PlotlyImage by the Author After three years of working in data-related roles, I can safely say that the most underrated skill is good data visualization. Having a toolbox of visualization kits available at your disposal is crucial.

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AI AI Data Science Machine Learning 116

Marktechpost

FEBRUARY 16, 2024

One of the most intriguing challenges is enabling AI agents to emulate human-like planning abilities. Such capabilities would allow these agents to navigate complex, real-world scenarios, a largely unmastered task. Traditional AI planning efforts have primarily focused on controlled environments with predictable variables and outcomes. However, the unpredictable nature of real-world settings, with their myriad constraints and variables, demands a far more sophisticated approach to planning.

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AI AI AI Researcher AI Research 128

Towards AI

FEBRUARY 16, 2024

Last Updated on February 16, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. In previous articles, we have explored the journey from loading documents to creating a vector store, discussing the limitations of existing models in handling follow-up questions and engaging in real conversations. The good news is that we’re addressing these issues by introducing chat history into LangChain.

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Chatbots Data Science Machine Learning AI 116

Marktechpost

FEBRUARY 16, 2024

MeetKai has been a notable player in the dynamic field of conversational AI since its establishment in 2018. Originally known as a “Conversational Intelligence Company,” the company has undergone significant changes. The recent shift in focus from general language models (LLMs) to function calling led to the introduction of Functionary, an open-source LLM.

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Conversational AI LLM OpenAI Python 124

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.

Towards AI

FEBRUARY 16, 2024

Last Updated on February 16, 2024 by Editorial Team Author(s): Leo Tisljaric, PhD Originally published on Towards AI. Setup guide for your local Ubuntu-based machine for training PyTorch and TensorFlow AI models using GPU acceleration Supercomputer (Image by: Author; Source: OpenAI DALL-E) Installing all the necessary tools and drivers on your local machine can be very frustrating.

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LLM OpenAI AI Modeling AI 110

Marktechpost

FEBRUARY 16, 2024

Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of Large Language Models (LLMs) in general knowledge of the world. Humans mark or process the provided photos for convenience and rigor to address the intricate visual challenges; this process is known as manipulation.

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Large Language Models Machine Learning Automation ML 120

Extreme Tech

FEBRUARY 16, 2024

This is a big win for space solar power, which has more energy-grabbing potential than stationary solar panels on Earth.

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Marktechpost

FEBRUARY 16, 2024

In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while LLMs have grown to over 100 billion parameters, the vision models they rely on need to be bigger, hindering their potential. Scaling up contrastive language-image pretraining (CLIP) is essential to enhance both vision and multimodal models, bridging the gap and enabling more effective ha

AI Modeling 120

AI Modeling Artificial Intelligence Artificial Intelligence AI 120

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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.

Artificial Intelligence

Towards AI

FEBRUARY 16, 2024

Author(s): Tony Flores Originally published on Towards AI. Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. Machine learning algorithms, especially neural networks, are effective at identifying complex patterns in chemical data, which can lead to new insights and speed up processes that were previously dependent on traditional, more time-consuming me

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Machine Learning Neural Network Explainability Algorithm 104

Marktechpost

FEBRUARY 16, 2024

Prompting Large Language Models (LLMs) has emerged as a standard practice in Natural Language Processing (NLP) following the introduction of GPT-3. The scaling of language models to billions of parameters using extensive datasets contributes significantly to achieving broad language understanding and generation capabilities. Moreover, large-scale language models exhibit the ability to tackle novel tasks by leveraging a few examples via in-context, few-shot learning.

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Large Language Models Natural Language Processing NLP AI 104

Towards AI

FEBRUARY 16, 2024

Author(s): John Loewen, PhD Originally published on Towards AI. Step-by-step guide on using the GPT-4 GeoGPT+ plug-inDall-E image: impressionist painting of a heat map on a computer screen hovering over a forest fire GeoGPT+ improves geospatial analysis by providing real-time data integration and visualization of spatial data. What kind of mapping can GPTGeo+ (Geo+) create for me?

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Data Integration Python AI AI 102