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.

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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?

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Data Analysis 304

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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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Generative AI

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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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.

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Data Analysis 297

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 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

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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Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

Automation

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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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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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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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.

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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

Generative 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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Marktechpost

JULY 2, 2024

Large Language Models (LLMs) have shown impressive performance in a range of tasks in recent years, especially classification tasks. These models demonstrate amazing performance when given gold labels or options that include the right answer. A significant limitation is that if these gold labels are purposefully left out, LLMs would still choose among the possibilities, even if none of them are correct.

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Machine Learning Mastery

JULY 2, 2024

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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Machine Learning 98

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 111

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

Generative AI

Towards AI

JULY 2, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. What are the most important skills for an ML Engineer? Well, I asked ML engineers at all these companies to share what they consider the top skills… And I’m telling you, there were a lot of answers I received and I bet you didn’t even think of many of them!

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Marktechpost

JULY 2, 2024

Language models have become increasingly complex, making it challenging to interpret their inner workings. Researchers are attempting to solve this problem through mechanistic interpretability, which involves identifying and analyzing circuits – sparse computational subgraphs that capture specific aspects of a model’s behavior. Current methodologies for discovering these circuits face significant challenges.

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Artificial Lawyer

JULY 2, 2024

Bird & Bird has become one of the first international law firms to launch a large-scale proof of concept (POC) trial across multiple offices with.

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AI AI 98

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.

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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

Generative AI

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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Marktechpost

JULY 2, 2024

Ensuring the safety and moderation of user interactions with modern Language Models (LLMs) is a crucial challenge in AI. These models, if not properly safeguarded, can produce harmful content, fall victim to adversarial prompts (jailbreaks), and inadequately refuse inappropriate requests. Effective moderation tools are necessary to identify malicious intent, detect safety risks, and evaluate the refusal rate of models, thus maintaining trust and applicability in sensitive domains like healthcare

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Extreme Tech

JULY 2, 2024

AMD has always been conservative with its X3D chips but may change that for this generation of CPUs.

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Marktechpost

JULY 2, 2024

Concept-based learning (CBL) in machine learning emphasizes using high-level concepts from raw features for predictions, enhancing model interpretability and efficiency. A prominent type, the concept-based bottleneck model (CBM), compresses input features into a low-dimensional space to capture essential data while discarding non-essential information.

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Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Towards AI

JULY 2, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie In AI model announcements and releases this week, we were particularly interested to read about “ESM3” (a new biology foundation that has discovered a new fluorescent protein; more details below) and Gemma 2 from Google.

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Marktechpost

JULY 2, 2024

Business data analysis is a field that focuses on extracting actionable insights from extensive datasets, crucial for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while precise, need help with the complexity and dynamism of modern business data. On the other hand, Artificial Intelligence (AI) models, particularly Large Language Models (LLMs), excel in recognizing patterns and making predictions but may need more precision for specific business appl

Data Analysis 104

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Marketing AI Institute

JULY 2, 2024

Anthropic just launched Claude 3.5 Sonnet, the first model in their upcoming Claude 3.5 family. And it's making waves in the AI world for its impressive capabilities and speed.

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