Analytics Vidhya

OCTOBER 15, 2024

Introduction The past week in artificial intelligence has been marked by rapid advancements in model capabilities, hardware, and ethical considerations, sparking conversations about the societal impacts of AI. From OpenAI’s $6.6 billion funding round, pushing its valuation to $157 billion, to Meta’s ambitious launch of Movie Gen for video generation, the landscape is evolving quickly. […] The post AI Bytes: OpenAI, Meta, NVIDIA Lead Breakthroughs amid Industry Challenges appeared first on

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OpenAI Artificial Intelligence Artificial Intelligence AI 253

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance. From personalised customer experiences to predictive maintenance and advanced fraud detection, the potential of ML is limitless.

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Machine Learning Chatbots Business Intelligence Automation 210

Unite.AI

OCTOBER 15, 2024

Don Schuerman is chief technology officer and vice-president of product marketing at Pegasystems, responsible for Pega’s platform and customer relationship management (CRM) applications. He has 20 years’ experience delivering enterprise software solutions for Fortune 500 organisations, with a focus on digital transformation, mobility, analytics, business process management, cloud and CRM.

Automation 190

Automation Generative AI AI AI 190

AI News

OCTOBER 15, 2024

Telefónica’s corporate venture capital arm, Wayra , has announced its investment in AI answer engine Perplexity. Perplexity’s AI-driven platform aims to revolutionise internet information searches by providing real-time, accurate, and contextual answers to queries using natural language processing. Unlike traditional search engines that return a list of links, Perplexity understands the intent behind questions and delivers clear, concise answers from a curated set of relevant sources

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Big Data Natural Language Processing AI AI 205

Speaker: Jay Allardyce

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 15, 2024

Introduction Chatbots have become an essential tool for most organisations. They provide excellent customer support and enhance user engagement. Are you interested in building a chatbot for your business but aren’t a developer? No problem! Thanks to rapid advancements in no-code platforms, building an AI agent chatbot without coding is now possible for anyone.

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AI Chatbots Chatbots AI AI 166

Analytics Vidhya

OCTOBER 15, 2024

Introduction The marketing landscape has undergone a massive transformation with the rise of artificial intelligence (AI). Among the AI-driven innovations, generative AI (GenAI) is particularly revolutionizing how marketing teams create content, optimize activities, and deliver campaigns. From personalizing customer experiences to automating content creation, GenAI is capable of enhancing the productivity of the marketing team […] The post How to Use Generative AI in Marketing?

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Generative AI Artificial Intelligence Artificial Intelligence AI 145

Unite.AI

OCTOBER 15, 2024

A groundbreaking new technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, promises to enhance how AI systems approach general tasks. Known as “ Thought Preference Optimization ” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses. The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.

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Large Language Models AI Modeling Artificial Intelligence Artificial Intelligence 148

Analytics Vidhya

OCTOBER 15, 2024

Introduction Large Language Models , like GPT-4, have transformed the way we approach tasks that require language understanding, generation, and interaction. From drafting creative content to solving complex problems, the potential of LLMs seems boundless. However, the true power of these models is not just in their architecture but in how effectively we communicate with […] The post 17 Prompting Techniques to Supercharge Your LLMs appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 15, 2024

In a significant advancement for cancer detection, miRoncol , a medtech startup, has completed proof-of-concept studies for a groundbreaking blood test capable of detecting multiple types of cancer at early stages. This innovative test utilizes cutting-edge technologies, including microRNA (miRNA) research and machine learning. By identifying cancers in their earliest stages, the test has the potential to revolutionize preventative healthcare, providing a highly sensitive and affordable solution

Machine Learning 130

Machine Learning Algorithm 130

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Analytics Vidhya

OCTOBER 15, 2024

Introduction Artificial Intelligence (AI) is rapidly evolving, and 2024 is shaping up to be the year of AI agents. But what are AI agents, and why are they becoming so important? AI agents represent a shift from traditional AI models to more autonomous systems capable of reasoning, planning, and acting on their own. In this […] The post What are AI Agents?

Artificial Intelligence 152

Artificial Intelligence Artificial Intelligence AI AI 152

IBM Journey to AI blog

OCTOBER 15, 2024

The long-standing partnership between IBM and Intel has led to significant advancements in database performance over the past 25 years. Based on internal testing by IBM, the latest generation Intel® Xeon® Scalable processors from Intel, combined with Intel software, have the potential to drive enhanced performance for IBM® watsonx.data.

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Automation AI AI Artificial Intelligence 113

Analytics Vidhya

OCTOBER 15, 2024

Introduction Function calling in large language models (LLMs) has transformed how AI agents interact with external systems, APIs, or tools, enabling structured decision-making based on natural language prompts. By using JSON schema-defined functions, these models can autonomously select and execute external operations, offering new levels of automation.

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Large Language Models Automation AI AI 112

Marktechpost

OCTOBER 15, 2024

A major challenge in the evaluation of vision-language models (VLMs) lies in understanding their diverse capabilities across a wide range of real-world tasks. Existing benchmarks often fall short, focusing on narrow sets of tasks or limited output formats, resulting in inadequate evaluation of the models’ full potential. The problem becomes more pronounced when evaluating newer multimodal foundation models that need comprehensive testing across numerous application domains.

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Inference Engine AI AI ML 117

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

Extreme Tech

OCTOBER 15, 2024

The new standard will work with devices from Apple, Google, Microsoft, and Samsung (among others) and password manager providers such as 1Password and Bitwarden.

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Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks. Efforts to automate workflow generation have not yet fully eliminated the need for human intervention, making broad generalization and effective skill transfer for LLMs difficult to achieve.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence Automation Inference Engine 110

Artificial Lawyer

OCTOBER 15, 2024

CLM company ContractPodAi (CP) has formed a strategic alliance with KPMG. The Big Four firm will tap Leah, CP’s genAI platform for lawyers, for its expanding managed legal services capability.

AI 88

AI AI 88

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge.

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Machine Learning LLM AI Researcher AI Research 112

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Extreme Tech

OCTOBER 15, 2024

The company has finally crashed through the 30TB barrier thanks to a new 11-platter design.

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Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation. This results in high energy consumption and substantial inference time, limiting their scalability and use on memory-constrained hardware.

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LLM Inference Engine Natural Language Processing Large Language Models 100

Artificial Lawyer

OCTOBER 15, 2024

Litera has grown and grown, often via acquisition of other legal tech companies, including Kira Systems among others. What is its strategy now? Artificial Lawyer.

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Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. However, they typically respond without engaging in internal thought processes that could help improve the accuracy of their answers, especially in more complex tasks.

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Inference Engine Large Language Models ML Artificial Intelligence 86

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Marketing AI Institute

OCTOBER 15, 2024

Powerful AI by 2026? Tesla's steering wheel-free future? Nvidia's compute explosion? Join Paul Roetzer and Mike Kaput they unpack Dario Amodei's bold 15,000-word manifesto predicting the arrival of "powerful AI" by 2026 and its transformative impact on society. Our hosts also examine the future implications of Tesla's "We, Robot" event, Nvidia CEO Jensen Huang's revealing interview, AI-related Nobel prizes, AI’s impact on search, and more in our rapid-fire section.

Robotics 74

Robotics AI AI 74

Marktechpost

OCTOBER 15, 2024

Despite the vast accumulation of genomic data, the RNA regulatory code must still be better understood. Genomic foundation models, pre-trained on large datasets, can adapt RNA representations for biological prediction tasks. However, current models rely on training strategies like masked language modeling and next token prediction, borrowed from domains such as text and vision, which lack biological insights.

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Inference Engine Machine Learning ML Artificial Intelligence 81

Extreme Tech

OCTOBER 15, 2024

The system features an odd mix of advanced cooling and older components.

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Marktechpost

OCTOBER 15, 2024

The increasing reliance on machine learning models for processing human language comes with several hurdles, such as accurately understanding complex sentences, segmenting content into comprehensible parts, and capturing the contextual nuances present in multiple domains. In this landscape, the demand for models capable of breaking down intricate pieces of text into manageable, proposition-level components has never been more pronounced.

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Inference Engine NLP AI AI 71

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Extreme Tech

OCTOBER 15, 2024

They'll be getting functionality like X for the backspace and Y for the spacebar.

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Marktechpost

OCTOBER 15, 2024

Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest when chatbots respond differently to users based on name-related demographic indicators, such as gender or race. Such biases can undermine trust, especially in name-sensitive contexts where chatbots are expected to treat all users equitably.

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OpenAI Chatbots Inference Engine ChatGPT 71

Extreme Tech

OCTOBER 15, 2024

It has a faster processor with AI acceleration but is not as capable as other iPads.

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AI AI 102