Wed.Jul 10, 2024

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Comprehensive Guide to Build AI Agents from Scratch

Analytics Vidhya

Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch. It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. This tutorial gives users the skills they need to create effective AI agents, regardless of whether they are developers […] The post Comprehensive Guide to Build AI Agents from Scratch appeared first on Analytics Vidhya.

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Ethical Considerations When Developing AI for Emotion Recognition

Unite.AI

Artificial intelligence for emotion regulation is one of the latest technological advancements in the machine learning field. Although it shows great potential, ethical issues are poised to affect its adoption rate and longevity. Can AI developers overcome them? What Is Emotion Recognition AI? Emotion recognition AI is a type of machine learning model.

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How to Use Aliases in SQL?

Analytics Vidhya

Introduction Ever felt like your SQL queries could use a bit of a readability boost? Enter SQL aliases. These nifty tools let you give your tables and columns temporary nicknames, making your queries clearer and easier to handle. This article will discuss all the use cases of alias clauses, like renaming columns and tables and […] The post How to Use Aliases in SQL?

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Claude 3 Models now available with LeMUR

AssemblyAI

LeMUR, AssemblyAI's framework for leveraging Large Language Models (LLMs) to understand recognized speech, makes it possible to ask questions, generate content, and create summaries from your audio data to provide better outputs and insights for your end users. With the addition of the Claude 3 model family, you'll get access to a range of state-of-the-art LLM models so you can select, test, and leverage models that best suit your users' needs.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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A Comprehensive Guide on Building AI Agents with AutoGPT

Analytics Vidhya

Introduction When you think about AI agents, do you imagine an assistant like R2-D2 from Star Wars, always ready to help? Or maybe WALL-E, the robot on a mission to clean up Earth? Maybe your mind drifts to Ava from Ex Machina, exploring AI? While today’s technology hasn’t reached this point of creating sentient beings […] The post A Comprehensive Guide on Building AI Agents with AutoGPT appeared first on Analytics Vidhya.

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Top 7 LOOKUP Functions in Excel

Analytics Vidhya

Introduction Excel’s LOOKUP capabilities are essential tools for data analysis because they let users quickly find and retrieve data from big databases. These functions boost productivity for various tasks, from straightforward lookups to intricate data management. This article will examine Excel’s most popular LOOKUP functions. What are LOOKUP Functions in Excel?

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Strategic Cloud Spending and AI: Maximizing Business Value in 2024

Unite.AI

Experts predict that 2024 will see an increase in cloud spending , mostly due to the rise in the adoption of artificial intelligence (AI) and generative AI (GenAI). Savvy companies are already examining their use of AI and GenAI, focusing on the costs associated with cloud budgets. The next step is adopting management strategies that optimize their investments and ensure sustainable business growth.

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Seamlessly Extract Text from PDFs with Indexify and PaddleOCR

Analytics Vidhya

Introduction In the ever-evolving landscape of data processing, extracting structured information from PDFs remains a formidable challenge, even in 2024. While numerous models excel at question-answering tasks, the real complexity lies in transforming unstructured PDF content into organized, actionable data. Let’s explore this challenge and discover how Indexify and PaddleOCR can be the tools we […] The post Seamlessly Extract Text from PDFs with Indexify and PaddleOCR appeared first

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TheoremLlama: An End-To-End Framework to Train a General-Purpose Large Language Model to Become a Lean4 Expert

Marktechpost

A major step forward in mathematical reasoning is the use of computer-verifiable formal languages such as Lean to prove mathematical theorems. These formal languages make it possible to rigorously verify proofs, guaranteeing accuracy and consistency in mathematical outcomes. Using Large Language Models (LLMs) trained on Natural Language (NL) proofs to produce comprehensive formal proofs is a promising method for formal theorem proving.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Object Detection Algorithms: R-CNN, Fast R-CNN, Faster R-CNN, and YOLO

Analytics Vidhya

Introduction Think of letting a computer not only see something but also comprehend it. This is at the heart of object detection and a key application area in Computer Vision that has dramatically changed how machines interact with the world. Self-driving cars traversing through packed streets or security mechanisms recognize potential threats, and object detection […] The post Object Detection Algorithms: R-CNN, Fast R-CNN, Faster R-CNN, and YOLO appeared first on Analytics Vidhya.

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NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL for Competition-Level Accuracy

Marktechpost

Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The model boasts 6.91 billion parameters and is adept at handling complex mathematical queries through a sophisticated tool-integrated reasoning (TIR) mechanism. NuminaMath 7B TIR’s problem-solving process is structured and efficient: Chain of Thought Reasoning : The model generates a detailed reasoning pathway to approach the pro

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Top 30 PySpark Interview Questions and Answers

Analytics Vidhya

Introduction PySpark is an interface for Apache Spark in Python, designed to leverage Spark’s features such as Spark SQL, Spark DataFrame, Spark Streaming, Spark Core, and Spark MLlib. It processes structured and semi-structured datasets efficiently by providing optimized APIs, allowing seamless data handling from various sources. The integration of Apache Spark with Python, originally written […] The post Top 30 PySpark Interview Questions and Answers appeared first on Analytics Vid

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SenseTime Unveiled SenseNova 5.5: Setting a New Benchmark to Rival GPT-4o in 5 Out of 8 Key Metrics

Marktechpost

SenseTime, a leading AI company from China, has unveiled its latest advancement, the SenseNova 5.5 , at the 2024 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance. The release emphasizes SenseTime’s commitment to innovation and practical application in various industries. The SenseNova 5.5 Large Model represents a comprehensive upgrade, integrating the first real-time multimodal model in China, SenseNova 5o.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI

NVIDIA

In the rapidly evolving world of artificial intelligence, generative AI is captivating imaginations and transforming industries. Behind the scenes, an unsung hero is making it all possible: microservices architecture. The Building Blocks of Modern AI Applications Microservices have emerged as a powerful architecture, fundamentally changing how people design, build and deploy software.

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Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning Blog

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. Fine-tuning Anthropic Claude 3 Haiku on proprietary datasets can provide optimal performance on specific domains or tasks. The fine-tuning as a deep level of customization represents a key differentiating factor by using your own unique data.

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Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI

NVIDIA

Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast , host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs.

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

AWS Machine Learning Blog

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows. However, it’s important to note that in RAG-based applications, when dealing with large or complex input text documents, such as PDFs or.txt files, queryin

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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The Dual Impact of AI and Machine Learning: Revolutionizing Cybersecurity and Amplifying Cyber Threats

Marktechpost

AI and ML are revolutionizing cybersecurity by significantly boosting defensive and offensive capabilities. On the defensive front, these technologies empower systems to detect better and counter cyber threats. AI and ML algorithms excel in processing extensive datasets, enabling them to identify patterns and anomalies far more efficiently than traditional approaches.

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A progress update on our commitment to safe, responsible generative AI

AWS Machine Learning Blog

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees. We strive to make our customers’ lives better while also establishing and implementing the necessary safeguards to help protect them.

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This AI Paper from the National University of Singapore Introduces a Defense Against Adversarial Attacks on LLMs Utilizing Self-Evaluation

Marktechpost

Ensuring the safety of Large Language Models (LLMs) has become a pressing concern in the ocean of a huge number of existing LLMs serving multiple domains. Despite the implementation of training methods like Reinforcement Learning from Human Feedback (RLHF) and the development of inference-time guardrails, many adversarial attacks have demonstrated the ability to bypass these defenses.

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Streamline generative AI development in Amazon Bedrock with Prompt Management and Prompt Flows (preview)

AWS Machine Learning Blog

Today, we’re excited to introduce two powerful new features for Amazon Bedrock: Prompt Management and Prompt Flows, in public preview. These features are designed to accelerate the development, testing, and deployment of generative artificial intelligence (AI) applications, enabling developers and business users to create more efficient and effective solutions that are easier to maintain.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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DoRM: A Brain-Inspired Approach to Generative Domain Adaptation

Marktechpost

Few-shot Generative Domain Adaptation (GDA) is a machine learning and domain adaptation concept that addresses the challenge of adapting a model trained on a source domain to perform well on a target domain, using only a few examples from the target domain. Such a technique is particularly useful when obtaining a large amount of labeled data from the target domain, which is expensive or impractical.

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Microsoft Is Struggling to Get Companies Onboard the AI PC Hype Train: Report

Extreme Tech

Microsoft is reportedly having trouble getting some of the biggest names in tech to optimize their apps and add new features for 'AI PCs.

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Meet Lytix: An AI Platform that Brings Insights, Testing, and E2E Analytics to Your LLM Stack with Minimal Changes to Your Existing Codebase

Marktechpost

Product insights & monitoring, testing, end-to-end analytics, and errors are four of the most difficult LLMs to monitor and test. Teams mostly waste weeks of dev time building internal tools to solve these problems. Most product analytics efforts have concentrated on numerical metrics like CTR and conversion rates. This information is critical, yet it is incomplete.

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Spellbook Launches Contract ‘Benchmarks’ to Show What’s Market

Artificial Lawyer

Spellbook, an early pioneer in legal genAI applications, has launched Benchmarks, an ‘at-a-glance’ tool that helps lawyers to quickly spot where contracts may be ‘off.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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Meet Fume: An AI-Powered Software Platform SWE that Solves Bugs within Slack

Marktechpost

Complex tasks are common in software development. The quality of the user experience suffers because engineers put things off till later. But performing them annually costs businesses a tonne of money. Meet Fume , an artificial intelligence AI startup that can fix complicated problems including sentry mistakes, bugs, and feature requests. Fume reassures you with its rapid response to user reports of bugs within minutes after they are tagged in Slack.

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Harvey Shows It Does MidLaw, As Well As BigLaw

Artificial Lawyer

Harvey made its name from day one by cutting deals with major law firms, but today a medium-size firm from Baltimore – Whiteford – which is outside the AmLaw 200, announced it was embracing the leg…

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Future-Proofing the Past: AI’s Role in Protecting Cultural Legacies

Marktechpost

The world’s cultural heritage faces mounting peril from escalating conflicts and natural disasters, jeopardizing ancient sites and artifacts worldwide. Wars, earthquakes, and floods pose existential threats, imperiling invaluable pieces of history. Urgent action is needed to protect these sites. Artificial intelligence (AI) presents a potent solution, providing sophisticated tools to document, analyze, and safeguard cultural heritage.