Analytics Vidhya

JULY 2, 2024

Introduction In the rapidly evolving field of Generative AI, powerful models only do through prompting by humans until agents come, it’s like models are brains and agents are limbs, so, agentic workflow is introduced to do tasks autonomously using agents leveraging GenAI model. In the world of AI development agents are the future because agents […] The post Exploring Microsoft’s AutoGen Framework for Agentic Workflow appeared first on Analytics Vidhya.

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AI News

JULY 2, 2024

As the UK gears up for its general election, industry leaders are weighing in on the potential impact on technology and AI regulation. With economic challenges at the forefront of political debates, experts argue that the next government must prioritise technological innovation and efficiency to drive growth and maintain the UK’s competitive edge.

Big Data 290

Big Data AI AI Explainability 290

Analytics Vidhya

JULY 2, 2024

Introduction Structured Query Language (SQL) is the foundation of managing and manipulating relational databases. One of the most powerful features in SQL is the use of views. They simplify and compress complex queries, making database interactions more efficient and manageable. It is a must-have skill for not just data analysts, but basically anyone working with […] The post What Are Views in SQL?

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Unite.AI

JULY 2, 2024

Businesses are constantly seeking innovative ways to generate high-quality leads and drive growth, which is essential for modern companies and brands. This article looks at the best lead-capture software solutions that can greatly improve your marketing efforts. From customizable forms to AI-powered tools, these platforms offer a range of features designed to attract, engage, and convert potential customers.

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Chatbots Automation Machine Learning Conversational AI 182

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

Analytics Vidhya

JULY 2, 2024

Introduction Nominal data is one of the most fundamental types of data in data analysis. Identifying and interpreting it is essential in many fields, including statistics, computer science, psychology, and marketing. This article examines nominal data’s characteristics, applications, and differences from other data types. Overview What is Nominal Data?

Data Analysis 310

Data Analysis 310

Analytics Vidhya

JULY 2, 2024

Introduction Have you ever been fooled by statistics? Simpson’s paradox shows how analyzing data in total can obscure important trends. We can uncover hidden factors that reverse or eliminate relationships by breaking down information. This short guide will equip you to avoid being misled by aggregated data and ensure you see the whole picture.

Data Analysis 302

Data Analysis 302

Unite.AI

JULY 2, 2024

Artificial intelligence (AI) is revolutionizing industries, streamlining processes, improving decision-making, and unlocking previously unimagined innovations. But at what cost? As we witness AI's rapid evolution, the European Union (EU) has introduced the EU AI Act, which strives to ensure these powerful tools are developed and used responsibly. The Act is a comprehensive regulatory framework designed to govern the deployment and use of AI across member nations.

AI Strategy 162

AI Strategy AI AI Explainability 162

Analytics Vidhya

JULY 2, 2024

Introduction In the Database Management Systems, understanding keys is crucial for designing efficient and effective databases. Among various types of keys, candidate keys hold significant importance. A minimum superkey that uniquely identifies tuples in a relation is called a candidate key. This article will explore the idea of candidate keys, including their characteristics, significance, and […] The post What is a Candidate Key in DBMS?

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Unite.AI

JULY 2, 2024

LLMs like GPT-3, GPT-4, and their open-source counterpart often struggle with up-to-date information retrieval and can sometimes generate hallucinations or incorrect information. Retrieval-Augmented Generation (RAG) is a technique that combines the power of LLMs with external knowledge retrieval. RAG allows us to ground LLM responses in factual, up-to-date information, significantly improving the accuracy and reliability of AI-generated content.

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LLM OpenAI Python Machine Learning 162

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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

JULY 2, 2024

Introduction An “agent” is like a smart assistant who can think and make decisions independently. When you give it a task or ask a question, it doesn’t just follow a script—it understands what you need, figures out the best way to handle it, and then gives you the right answer or completes the task. For […] The post Llama-Agents: A Comprehensive Guide to Multi-Agent Systems as a Service appeared first on Analytics Vidhya.

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Large Language Models Generative AI AI AI 294

AssemblyAI

JULY 2, 2024

In this tutorial, you’ll learn how to build a Next.js video conferencing app that supports video calls with live transcriptions and an LLM-powered meeting assistant. By the end of this tutorial, you will learn everything from creating the Next.js app to implementing video call functionality with the Stream Video SDK , adding real-time transcriptions, and integrating an LLM that can answer questions during the call.

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Analytics Vidhya

JULY 2, 2024

Introduction If you work with data, I’m sure you’ve needed to compare two columns in Excel at some point. Whether you’re a data scientist or just someone who spends a lot of time with spreadsheets, knowing how to efficiently compare columns can save you a lot of time and effort. In this guide, we will […] The post 5 Ways To Compare Two Columns In Excel appeared first on Analytics Vidhya.

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Data Scientist Data Analysis 291

Unite.AI

JULY 2, 2024

Yandong Liu is the Co-founder and CTO at Connectly.ai. He previously worked at Strava as a CTO. Yandong Liu attended Carnegie Mellon University. Founded in 2021, Connectly is the leader in conversational artificial intelligence (AI). Using proprietary AI models, Connectly’s platform automates how businesses communicate with their customers and sell their products across any messaging platform.

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Large Language Models Artificial Intelligence Artificial Intelligence Conversational AI 130

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

JULY 2, 2024

Introduction Navigating the complexities of data analytics in today’s dynamic environment can be daunting. One effective approach for uncovering hidden patterns in time series data is using Moving Averages. This comprehensive guide explores the intricacies of Moving Averages in python, offering insights into their methodologies and diverse applications across various industries.

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Python Data Analysis 272

IBM Journey to AI blog

JULY 2, 2024

Throughout my tenure in senior leadership positions at a global aerospace company and a Fortune 100 hardware manufacturer, I witnessed firsthand how inadequate asset management and cumbersome procurement processes led to significant inefficiencies and hindered organizational performance. Once, during peak production, a computer numerical control machine failed, disrupting manufacturing (not dissimilar in impact from a telecom base station failure or utility transformer failure).

Automation 130

Automation 130

Marktechpost

JULY 2, 2024

The field of research focuses on optimizing algorithms for training large language models (LLMs), which are essential for understanding and generating human language. These models are critical for various applications, including natural language processing and artificial intelligence. Training LLMs requires significant computational resources and memory, making optimizing these processes a high-priority area for researchers.

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Large Language Models Natural Language Processing Big Data Artificial Intelligence 122

AWS Machine Learning Blog

JULY 2, 2024

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. As organizations transition from proofs of concept to production workloads, they establish objectives to run and scale their workloads with minimal operational overhead, while optimizing on costs.

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DevOps Artificial Intelligence Artificial Intelligence Python 128

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

JULY 2, 2024

It is observed that LLMs often struggle to retrieve relevant information from the middle of long input contexts, exhibiting a “lost-in-the-middle” behavior. The research paper addresses the critical issue of the performance of large language models (LLMs) when handling longer-context inputs. Specifically, LLMs like GPT-3.5 Turbo and Mistral 7B often struggle with accurately retrieving information and maintaining reasoning capabilities across extensive textual data.

Large Language Models 122

Large Language Models ML Artificial Intelligence Artificial Intelligence 122

AWS Machine Learning Blog

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process. This feature allows organizations to harness the power of large language models (LLMs) while making sure that the generated responses are tailored to their specific domain knowledge, regulations, and busines

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Metadata Generative AI Python Computer Vision 126

Marktechpost

JULY 2, 2024

In various fields, data comes in many forms. Be it documents, images, or video/audio files, managing and making sense of this unstructured data can be overwhelming. The challenge lies in converting this diverse data into a structured format that is easy to work with, especially for applications involving advanced AI technologies. Several existing solutions address this issue to some extent.

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Data Ingestion LLM AI AI 121

databricks

JULY 2, 2024

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

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Generative AI AI AI ML 130

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Marktechpost

JULY 2, 2024

Frontier AI systems, including LLMs, increasingly shape human beliefs and values by serving as personal assistants, educators, and authors. These systems, trained on vast amounts of human data, often reflect and propagate existing societal biases. This phenomenon, known as value lock-in, can entrench misguided moral beliefs and practices on a societal scale, potentially reinforcing problematic behaviors like climate inaction and discrimination.

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Machine Learning Algorithm AI AI 118

SAS Software

JULY 2, 2024

US Space Force, US Space Command and industry pros explore how new technologies can be a force multiplier in space operations. Spoiler alert: The sky is not the limit. More than 300 US military, government civilian and industry professionals landed at SAS world headquarters June 25-26 for Cognitive Space Operations [.

Machine Learning 111

Machine Learning AI AI 111

Marktechpost

JULY 2, 2024

The rise of Generative AI (GenAI) has revolutionized various industries, from healthcare and finance to entertainment and customer service. The effectiveness of GenAI systems hinges on the seamless integration of four critical components: Human, Interface, Data, and large language models (LLMs). Understanding these elements is essential for designing robust and efficient GenAI workflows.

LLM 115

LLM Generative AI Large Language Models AI 115

Topbots

JULY 2, 2024

“In the new future, every single interaction with the digital world will be through an AI assistant of some kind. We will be talking to these AI assistants all the time. Our entire digital diet will be mediated by AI systems,” Meta’s Chief AI Scientist Yann LeCun said at a recent Meta event. This bold prediction underscores a transformative shift in how we engage with technology, hinting at a future where AI personal assistants become indispensable in our daily lives.

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OpenAI AI AI Natural Language Processing 108

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

JULY 2, 2024

Large language models (LLMs) have gained significant attention in recent years, but ensuring their safe and ethical use remains a critical challenge. Researchers are focused on developing effective alignment procedures to calibrate these models to adhere to human values and safely follow human intentions. The primary goal is to prevent LLMs from engaging in unsafe or inappropriate user requests.

LLM 113

LLM Large Language Models Automation AI 113

AWS Machine Learning Blog

JULY 2, 2024

Originally PyTorch used an eager mode where each PyTorch operation that forms the model is run independently as soon as it’s reached. PyTorch 2.0 introduced torch.compile to speed up PyTorch code over the default eager mode. In contrast to eager mode, the torch.compile pre-compiles the entire model into a single graph in a manner that’s optimal for running on a given hardware platform.

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Natural Language Processing Python NLP Software Development 117

Marktechpost

JULY 2, 2024

Multi-modal Large Language Models (MLLMs) have various applications in visual tasks. MLLMs rely on the visual features extracted from an image to understand its content. When a low-resolution image containing fewer pixels is provided as input, it translates less information to these models to work with. Due to this limitation, these models often need to be more accurate to identify the objects, scenes, or actions in the image.

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Large Language Models ML AI AI 113