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.

AI Modeling 318

AI Modeling AI AI AI Developer 318

IBM Journey to AI blog

FEBRUARY 16, 2024

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI). As an automobile manufacturer, our client has an inherent duty to provide high-quality products.

Automation 298

Automation Computer Vision AI AI 298

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.

DevOps 294

DevOps Automation Software Development ML 294

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

AI 302

AI AI AI Modeling Artificial Intelligence 302

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

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

Artificial Intelligence 289

Artificial Intelligence Artificial Intelligence Chatbots Automation 289

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.

Artificial Intelligence 276

Artificial Intelligence Artificial Intelligence AI AI 276

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

Neural Network 274

Neural Network Big Data Explainability LLM 274

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

Large Language Models 265

Large Language Models Natural Language Processing NLP AI Research 265

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.

Artificial Intelligence 250

Artificial Intelligence Artificial Intelligence AI AI 250

Advertisement

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?

Business Intelligence

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 260

AI AI 260

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

ESG 230

ESG Automation 230

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.

Neural Network 195

Neural Network Algorithm Machine Learning Hybrid AI 195

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.

Neural Network 147

Neural Network Python Categorization Generative AI 147

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

AI

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.

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

Ines Montani

FEBRUARY 16, 2024

I’ve done quite a bit of conference speaking over the years, and I love designing slides and coming up with a new visual theme for each topic. It’s fun and keeps me motivated to put in the work and actually write my talks. People often ask me for tips and tooling recommendations, so in this guide, I’m sharing some of my not-so-secret secrets and three beginner-friendly steps for how you can up your slides game for the upcoming conference season!

Explainability 144

Explainability 144

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.

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence Algorithm 138

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.

Python 132

Python Computer Vision Machine Learning Artificial Intelligence 132

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.

Business Intelligence

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.

Hybrid AI 133

Hybrid AI AI Modeling Artificial Intelligence Artificial Intelligence 133

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.

Chatbots 104

Chatbots Data Science Machine Learning AI 104

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.

AI 127

AI AI AI Researcher AI Research 127

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.

AI 103

AI AI Data Science Machine Learning 103

Advertisement

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!

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.

Conversational AI 126

Conversational AI OpenAI Python LLM 126

Towards AI

FEBRUARY 16, 2024

Author(s): John Loewen, PhD Originally published on Towards AI. Single-step prompting for interactive CO2 global emissions data Recently I have been focusing on refining my GPT-4 prompting for interactive dashboard visualizations. I’ve been putting in the time to figure this out — so that you can prompt with ease And I have some positive news to report.

Python 101

Python AI AI Data Analysis 101

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.

Large Language Models 123

Large Language Models Machine Learning Automation ML 123

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.

133

133

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.

Generative AI

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 122

AI Modeling Artificial Intelligence Artificial Intelligence AI 122

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.

LLM 97

LLM OpenAI AI Modeling AI 97

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.

Large Language Models 100

Large Language Models Natural Language Processing NLP AI 100