Analytics Vidhya

NOVEMBER 1, 2024

Let’s start from the beginning!! With Google’s inception, our lives have become much easier than we ever imagined – if you want to explore any place before visiting, “Just Google It”; if you want to know about the history of the world dates back to the Stone Age, “Just Google It” and so on. However, […] The post ChatGPT Search: AI Search Engine Challenging Google Monopoly appeared first on Analytics Vidhya.

ChatGPT 199

ChatGPT AI AI Generative AI 199

Unite.AI

NOVEMBER 1, 2024

After the rise of generative AI, artificial intelligence is on the brink of another significant transformation with the advent of agentic AI. This change is driven by the evolution of Large Language Models (LLMs) into active, decision-making entities. These models are no longer limited to generating human-like text; they are gaining the ability to reason, plan, tool-using, and autonomously execute complex tasks.

Large Language Models 173

Large Language Models AI AI Automation 173

Analytics Vidhya

NOVEMBER 1, 2024

Retrievers play a crucial role in the LangChain framework by providing a flexible interface that returns documents based on unstructured queries. Unlike vector stores, retrievers are not required to store documents; their primary function is to retrieve relevant information. While vector stores can serve as the backbone of a retriever, various types of retrievers exist, […] The post 3 Advanced Strategies for Retrievers in LangChain appeared first on Analytics Vidhya.

Generative AI 176

Generative AI AI AI 176

Unite.AI

NOVEMBER 1, 2024

It’s no secret that there is a modern-day gold rush going on in AI development. According to the 2024 Work Trend Index by Microsoft and Linkedin, over 40% of business leaders anticipate completely redesigning their business processes from the ground up using artificial intelligence (AI) within the next few years. This seismic shift is not just a technological upgrade; it's a fundamental transformation of how businesses operate, make decisions, and interact with customers.

AI Development 147

AI Development AI Developer Data Quality AI 147

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

Marktechpost

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. With advancements in transformer-based models, large language models (LLMs) have shown impressive English NLP capabilities, enabling applications ranging from text summarization and sentiment analysis to complex reasoning tasks. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models.

Large Language Models 128

Large Language Models NLP Natural Language Processing Artificial Intelligence 128

Marktechpost

NOVEMBER 1, 2024

The world of software development has seen an explosion in the use of AI agents over the last few years, promising to enhance productivity, automate complex tasks, and make the lives of developers easier. However, one problem that remains prevalent is the significant gap between these promising AI agents and their ability to address real-world issues effectively.

Software Development 115

Software Development Software Engineer Automation AI 115

Towards AI

NOVEMBER 1, 2024

Author(s): Mirko Peters Originally published on Towards AI. Generative AI offers unprecedented opportunities for businesses, but implementation challenges like governance, integration, and talent acquisition persist. Success lies in strategic planning and informed decision-making. This member-only story is on us. Upgrade to access all of Medium. Imagine a world where your organization can predict customer behavior almost before it happens or streamline operations with a wave of its digital wand.

Generative AI 105

Generative AI AI AI Automation 105

Artificial Lawyer

NOVEMBER 1, 2024

As the song goes, it’s the final countdown… Legal Innovators UK the pioneering legal tech conference is taking place next week on November 6 and.

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Extreme Tech

NOVEMBER 1, 2024

Its collaboration with MediaTek will bear fruit in the new year as it takes on AMD, Intel, and Qualcomm.

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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

Flipboard

NOVEMBER 1, 2024

When Shiv Rao was a cardiologist and investor in Pittsburgh, he saw a patient with a 10-year-history of breast cancer who seemed particularly tense …

Machine Learning 95

Machine Learning Artificial Intelligence Artificial Intelligence 95

AWS Machine Learning Blog

NOVEMBER 1, 2024

Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while adhering to the security and access restrictions of the content. You can tailor Amazon Q Business to your specific business needs by connecting to your company’s information and enterprise systems using built-in connectors to a variety of enterprise data sources.

IDP 91

IDP Metadata Generative AI AI Chatbots 91

Towards AI

NOVEMBER 1, 2024

Last Updated on November 1, 2024 by Editorial Team Author(s): Gencay I. Originally published on Towards AI. Automate Data Analysis with Pandas This member-only story is on us. Upgrade to access all of Medium. Created with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here Pandas is undoubtedly the most powerful data science library, but what if I told you that you could automate data analysis and complete your work with just a click?

Data Scientist 91

Data Scientist Data Analysis Data Science AI Automation 91

AWS Machine Learning Blog

NOVEMBER 1, 2024

This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Independent software vendors (ISVs) like Druva are integrating AI assistants into their user applications to make software more accessible.

Python 91

Python Generative AI AI AI 91

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

Extreme Tech

NOVEMBER 1, 2024

This form of blue-green algae has evolved to survive coastal volcanic environments, where carbon dioxide is anything but scarce.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Traditionally, clinical trials not only place a significant burden on patients and participants due to the costs associated with transportation, lodging, meals, and dependent care, but also have an environmental impact. With the advancement of available technologies, decentralized clinical trials have become a widely popular topic of discussion and offer a more sustainable approach.

Data Drift 84

Data Drift Machine Learning Automation Deep Learning 84

Extreme Tech

NOVEMBER 1, 2024

Though the design provides many benefits, the downsides are too much to bear for Intel's margins.

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databricks

NOVEMBER 1, 2024

We are thrilled to announce the General Availability of a Python step-through debugger for Databricks Notebooks and Files. This highly requested feature allows.

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Python 82

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

Extreme Tech

NOVEMBER 1, 2024

The fee gets you an extra year of patches beyond the October 2025 end date.

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Marktechpost

NOVEMBER 1, 2024

Large Language Models (LLMs) are widely used in natural language tasks, from question-answering to conversational AI. However, a persistent issue with LLMs is “hallucination,” where the model generates responses that are factually incorrect or ungrounded in reality. These hallucinations can diminish the reliability of LLMs, posing challenges for practical applications, particularly in fields that require accuracy, such as medical diagnostics and legal reasoning.

LLM 83

LLM Categorization Large Language Models Conversational AI 83

Machine Learning Mastery

NOVEMBER 1, 2024

In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role.

Machine Learning 75

Machine Learning Artificial Intelligence Artificial Intelligence ML 75

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.

LLM 80

LLM Prompt Engineer Prompt Engineering Generative AI 80

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Towards AI

NOVEMBER 1, 2024

Last Updated on November 1, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Parallels Brings Apple Intelligence to Windows This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday, we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!

AI 75

AI AI Machine Learning Artificial Intelligence 75

Marktechpost

NOVEMBER 1, 2024

Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language. Transformer models inherently struggle with positional order because they treat each token in isolation. Researchers have explored embedding methods that encode token positions within the sequence to address this, allowing these models to handle ordered data more effectively.

Artificial Intelligence 81

Artificial Intelligence Artificial Intelligence AI AI 81

Extreme Tech

NOVEMBER 1, 2024

Perseverance could reach the rim of Jezero late this year.

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Marktechpost

NOVEMBER 1, 2024

Artificial intelligence has recently expanded its role in areas that handle highly sensitive information, such as healthcare, education, and personal development, through advanced language models (LLMs) like ChatGPT. These models, often proprietary, can process large datasets and deliver impressive results. However, this capability raises significant privacy concerns because user interactions may unintentionally reveal personally identifiable information (PII) during model responses.

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LLM AI AI Artificial Intelligence 79

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

NOVEMBER 1, 2024

We’ll see if another short breather makes a difference for it.

AI 105

AI AI 105

Marktechpost

NOVEMBER 1, 2024

Large language models (LLMs) are increasingly utilized for complex reasoning tasks, requiring them to provide accurate responses across various challenging scenarios. These tasks include logical reasoning, complex mathematics, and intricate planning applications, which demand the ability to perform multi-step reasoning and solve problems in domains like decision-making and predictive modeling.

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LLM Large Language Models AI Research AI Researcher 77

Extreme Tech

NOVEMBER 1, 2024

And there's nothing Meta can do about it.

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AI AI 111