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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.
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.
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?
IBM Storage Defender is a purpose-built end-to-end data resilience solution designed to help businesses rapidly restart essential operations in the event of a cyberattack or other unforeseen events. It simplifies and orchestrates business recovery processes by providing a comprehensive view of data resilience and recoverability across primary and auxiliary storage in a single interface.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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?
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.
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.
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.
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.
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?
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.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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.
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.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
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.
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.
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.
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).
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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
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.
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.
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.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Using machine learning to solve real-world problems is exciting. But most eager beginners jump straight to model building—overlooking the fundamentals—resulting in models that aren’t very helpful. From understanding the data to choosing the best machine learning model for the problem, there are some common mistakes that beginners often tend to make.
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