Analytics Vidhya

OCTOBER 3, 2024

Introduction Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya.

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LLM ChatGPT AI Modeling AI 252

AI News

OCTOBER 1, 2024

As AI reshapes the digital landscape, tech companies find themselves in a high-stakes game of regulatory chess, with each move potentially changing the possibilities stemming from innovation. The game board is especially intricate for global infrastructure providers like Cloudflare, involving as it does cybersecurity, data privacy, and content moderation in a complex policy framework.

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Big Data Artificial Intelligence Artificial Intelligence Responsible AI 271

Analytics Vidhya

SEPTEMBER 30, 2024

Introduction Generative AI is the big talk of the town these days. Almost every day, we see a new model being released. Having a discussion group where the details of these advancements are discussed can greatly help individuals working in this field. This is why Reddit is so famous for all the GenAI discussions. I […] The post Top 10 Generative AI Subreddits to Follow in 2024 appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 3, 2024

A new collaboration between researchers in Poland and the UK proposes the prospect of using Gaussian Splatting to edit images, by temporarily interpreting a selected part of the image into 3D space, allowing the user to modify and manipulate the 3D representation of the image, and then applying the transformation. To change the orientation of the cat's head, the relevant section is moved into 3D space via Gaussian Splatting, and then manipulated by the user.

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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

OCTOBER 4, 2024

As organizations strive to balance productivity, innovation and environmental responsibility, the need for sustainable IT practices is even more pressing. A new global study from the IBM Institute for Business Value reveals that emerging technologies, particularly generative AI, can play a pivotal role in advancing sustainable IT initiatives. However, successful transformation of IT systems demands a strategic and enterprise-wide approach to sustainability.

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Analytics Vidhya

SEPTEMBER 30, 2024

Introduction Artificial Intelligence has been cementing its position in workplaces over the past couple of years, with scientists spending heavily on AI research and improving it daily. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection. It has even recently replaced several jobs in the industry. This inclusion of […] The post Key Challenges and Limitations in AI-Language Models appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Chatbots AI 316

Unite.AI

SEPTEMBER 30, 2024

Traditional quality assurance (QA) processes have long depended on manual testing and predefined test cases. While effective in the past, these methods are often slow, susceptible to human error, and lead to development delays and inflated costs. Unsurprisingly, Gartner reports that 88% of service leaders feel that today’s QA approaches don’t meet the mark.

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AI News

SEPTEMBER 29, 2024

As data management grows more complex and modern applications extend the capabilities of traditional approaches, AI is revolutionising application scaling. Han Heloir, EMEA gen AI senior solutions architect, MongoDB. In addition to freeing operators from outdated, inefficient methods that require careful supervision and extra resources, AI enables real-time, adaptive optimisation of application scaling.

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Big Data ETL Generative AI Data Ingestion 229

IBM Journey to AI blog

SEPTEMBER 30, 2024

OpenAI CEO Sam Altman has reignited one of the tech world’s favorite debates: whether or not we will soon see the advent of superintelligent AI. In a recent blog post , he wrote that such a system, surpassing human cognitive abilities, could emerge in “a few thousand days,” ushering in a revolution in global progress. Altman’s musings on highly advanced artificial intelligence systems have sparked a flurry of responses from researchers and industry observers.

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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

SEPTEMBER 28, 2024

Introduction Suppose you are a scientist or an engineer solving numerous problems – ordinary differential equations, extremal problems, or Fourier analysis. Python is already your favorite type of language given its easy usage in graphics and simple coding ability. But now, these are complex enough tasks, and therefore, one requires a set of powerful tools. […] The post Understanding SciPy Library in Python appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 1, 2024

New research from the US indicates that fine-tuning an AI foundation model on your own data does not need to reduce or impair the functionality of the original model – and that a relatively simple fix can not only restore the capabilities of the original model, but actually improve the quality of the output that you're trying to get the (already trained) model to produce.

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AI Modeling AI AI Large Language Models 299

AI Weekly

OCTOBER 3, 2024

Powered by getessentialspro.com Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Sam Altman : 'Superintelligent' AI Is Only a Few Thousand Days Away Altman predicts that with AI in the future, "We will be able to do things that would have seemed like magic to our grandparents." cnet.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get

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Robotics Artificial Intelligence Artificial Intelligence Explainability 214

IBM Journey to AI blog

OCTOBER 1, 2024

As we step into October and mark the start of Cybersecurity Awareness Month, organizations’ focus on protecting digital assets has never been more important. As innovative new cloud and generative AI solutions help advance today’s businesses, it’s also important to understand how these solutions have added to the complexity of today’s cyber threats, and how organizations can address them.

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Generative AI AI AI 213

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

Analytics Vidhya

OCTOBER 1, 2024

Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting recent innovations in artificial intelligence (AI). RAGs combine the power of generative models, like GPT, with a retrieval system that searches for relevant information in real-time. This makes them highly effective tools for various job roles across various industries. Whether you’re a data scientist, a […] The post Top 8 Applications of RAGs in Workplaces appeared first on Analytics Vidhya.

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Unite.AI

SEPTEMBER 29, 2024

In the era of digital content, text-to-speech (TTS) technology has become an indispensable tool for businesses and individuals alike. As the demand for audio content surges across various platforms, from podcasts to e-learning materials, the need for high-quality, natural-sounding speech synthesis has never been greater. This article delves into the top text-to-speech APIs that are changing the way we consume and interact with digital content, offering a comprehensive look at the cutting-edge s

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AI News

SEPTEMBER 30, 2024

It’s sometimes difficult to distinguish the reality of technology from the hype and marketing messages that bombard our inboxes daily. In just the last five years, we’ve probably heard too much about the metaverse, blockchain and virtual reality, for example. At present, we’re in the midst of a furore about the much-abused term ‘AI’, and time will tell whether this particular storm will be seen as a teacup resident.

Data Science 238

Data Science Big Data Artificial Intelligence Artificial Intelligence 238

IBM Journey to AI blog

OCTOBER 1, 2024

As organizations look to embrace emerging technologies such as generative AI, it is increasingly critical to establish teams that have the core purpose of leveraging new technology to generate value. Innovation teams drive the development of new ideas, products, and processes, fostering growth and competitive advantage. By focusing on creative problem-solving and future trends, these teams help companies stay relevant and adapt to changing market conditions.

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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

Analytics Vidhya

OCTOBER 1, 2024

Introduction Meta recently launched Llama 3.2, its latest multimodal model. This version offers improved language understanding, provides more accurate answers and generates high-quality text. It can now analyze and interpret images, making it even more versatile in understanding and responding to various input types! Llama 3.2 is a powerful tool that can help you with […] The post 3 Ways to Run Llama 3.2 on Your Device appeared first on Analytics Vidhya.

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Large Language Models Generative AI Artificial Intelligence Artificial Intelligence 258

Unite.AI

OCTOBER 3, 2024

Translating literary classics like War and Peace into other languages often results in losing the author's unique style and cultural nuances. Addressing this longstanding challenge in literary translation is essential to preserving the essence of works while making them accessible globally. TransAgents introduces a pioneering approach to machine translation.

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Deep Learning Algorithm Large Language Models NLP 279

Marktechpost

OCTOBER 2, 2024

CopilotKit has emerged as a leading open-source framework designed to streamline the integration of AI into modern applications. Widely appreciated within the open-source community, CopilotKit has garnered significant recognition, boasting over 10.5k+ GitHub stars. The platform enables developers to create custom AI copilots, in-app agents, and interactive assistants capable of dynamically engaging with their application’s environment.

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AI Chatbots Chatbots OpenAI AI 132

IBM Journey to AI blog

SEPTEMBER 30, 2024

With the launch of its new lightweight Llama 3.2 models last week, Meta became the latest company to bet big on going small, following Apple, IBM, Google, Microsoft and other tech giants that have introduced small language models (SLMs) in the last 18 months. Yes, SLMs cost less, use less energy and often perform better than their larger counterparts on specialized tasks.

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Analytics Vidhya

SEPTEMBER 30, 2024

Introduction As generative AI continues to advance, discussions about its potential, challenges, and future developments are intensifying. Reddit, a platform recognized for its thorough and candid conversations, has become a popular space for users to exchange insights, critiques, and predictions about this revolutionary technology. In this article, we delve into the top 10 generative AI […] The post Top 10 Reddit Threads on Generative AI appeared first on Analytics Vidhya.

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Generative AI AI AI 259

Unite.AI

OCTOBER 2, 2024

For more than three decades, mobile network operators (MNOs) have been channeling their research and development efforts into five key areas: messaging, roaming, policy, signaling, and clearing. Given the vast quantities of data processed through these systems, it's only natural that MNOs are increasingly focusing on leveraging artificial intelligence (AI) to enhance features, maximize resource efficiency, and safeguard customer data, all while fulfilling their service commitments.

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AI AI Artificial Intelligence Artificial Intelligence 279

NVIDIA

OCTOBER 1, 2024

Washington, D.C., is where possibility has always met policy, and AI presents unparalleled opportunities for tackling global challenges. NVIDIA’s AI Summit in Washington, set for October 7-9, will gather industry leaders to explore how AI addresses some of society’s most significant challenges. Held at the Ronald Reagan Building and JW Marriott in the heart of the nation’s capital, the event will focus on the potential of AI to drive breakthroughs in healthcare, cybersecurity, manufacturing and

Robotics 135

Robotics Generative AI AI AI 135

IBM Journey to AI blog

OCTOBER 2, 2024

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. These professionals encounter a range of issues when attempting to source the data they need, including: Data accessibility issues: The inability to locate and access specific data due to its location in siloed systems or the need for multiple permissions, resulting in bottlenecks and delays.

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Business Intelligence Data Quality Python Data Extraction 147

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

Analytics Vidhya

OCTOBER 1, 2024

Introduction The WHERE clause is an essential component that is used in SQL statements. This option is used for filtering records in order to give out specific data from the database files. Suppose you have a huge list of customers storing their information in your database; you need to search for customers from a specific […] The post Understanding SQL WHERE Clause appeared first on Analytics Vidhya.

Data Analysis 251

Data Analysis 251

Unite.AI

OCTOBER 2, 2024

In today’s data-driven world, geospatial information is essential for gaining insights into climate change, urban growth, disaster management, and global security. Despite its vast potential, working with geospatial data presents significant challenges due to its size, complexity, and lack of standardization. Machine learning can analyze these datasets yet preparing them for analysis can be time-consuming and cumbersome.

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Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. However, manually curating these datasets from the web is labor-intensive, inefficient, and often unscalable, creating a significant hurdle for developers aiming to acquire huge data.

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