Analytics Vidhya

JULY 25, 2024

Introduction In the not-so-distant past, the idea of having a personal AI assistant felt like something out of a sci-fi movie. Picture a tech-savvy inventor named Alex, who dreamed of having a smart companion to answer questions and provide insights, without relying on the cloud or third-party servers. With advancements in small language models (SLMs), […] The post How to Build Your Personal AI Assistant with Huggingface SmolLM?

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AI Weekly

JULY 25, 2024

Powered by growthschool.io In the News Top 5 AI tool directories: Discover and showcase AI innovations The article highlights the top five AI tool directories that help users discover, review, and showcase AI tools. It emphasizes the unique features of each platform, making them essential for staying current in AI technology. artificialintelligence-news.com Sponsor 200+ hours of research on AI tools & hacks packed in 3 hours (Free AI Crash Course) The only AI Crash Course you need to master

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Analytics Vidhya

JULY 25, 2024

Introduction Artificial intelligence has recently seen a surge of interest in AI agents – autonomous software entities capable of perceiving their environment, making decisions, and taking action to achieve specific objectives. These agents often incorporate more advanced planning, reasoning, and adaptation capabilities than traditional reinforcement learning models.

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Unite.AI

JULY 25, 2024

Artificial Intelligence (AI) transforms how we interact with technology, breaking language barriers and enabling seamless global communication. According to MarketsandMarkets , the AI market is projected to grow from USD 214.6 billion in 2024 to USD 1339.1 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 35.7%. One new advancement in this field is multilingual AI models.

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Speaker: Jay Allardyce

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

Analytics Vidhya

JULY 25, 2024

Introduction Have you ever been captivated by stunning digital art and wondered how it’s crafted? The secret lies in something called noise schedules. Intrigued? You should be! Noise schedules play a crucial role in the steady diffusion process, dictating how noise is added and removed from data during both forward and reverse processes. This article […] The post What are Noise Schedules in Stable Diffusion?

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Analytics Vidhya

JULY 25, 2024

Introduction Imagine you are conducting a study to determine whether a new drug effectively reduces blood pressure. You administer the drug to a group of patients and compare their results to a control group receiving a placebo. You analyze the data and conclude that the new drug significantly reduces blood pressure when, in reality, it […] The post What’s the Difference Between Type I and Type II Errors ?

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Data Science 308

IBM Journey to AI blog

JULY 25, 2024

In an era when technological advancements and economic growth are often hailed as measures of success, it is essential to pause and reflect on the underlying societal challenges that these advancements often overlook. And to consider how they can be used to genuinely improve the human condition. IBM Consulting® and Microsoft together with government leaders, are answering that call, partnering to develop a platform to bridge the division and enhance the delivery of social services support t

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Analytics Vidhya

JULY 25, 2024

Introduction Try to think of yourself as a student entering the first day at a new school. You are learning with enthusiasm but there are so many things which are new to you and this easily leads to the mistakes. The AI same is somewhat like that for a beginner – the world is interesting […] The post Avoid These 5 Common Mistakes in AI that Every Novice Makes appeared first on Analytics Vidhya.

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Marktechpost

JULY 25, 2024

Large Language Models (LLMs) have revolutionized AI with their ability to understand and generate human-like text. Their rise is driven by advancements in deep learning, data availability, and computing power. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.

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Analytics Vidhya

JULY 25, 2024

Introduction Imagine waking up to the smell of smoke, heart racing as you ensure your family’s safety. Early detection is crucial, and “Flame Guardian,” a deep learning-powered fire detection system, aims to make a life-saving difference. This article guides you through creating this technology using CNNs and TensorFlow, from data gathering and augmentation to model […] The post Flame Guardian: Developing a Deep Learning-Based Fire Detection System appeared first on Analy

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Marktechpost

JULY 25, 2024

Text retrieval is essential for applications like searching, question answering, semantic similarity, and item recommendation. Embedding or dense retrieval models play a key role in this process. The hard-negative mining method is used, to select negative passages for queries to train these models. It involves a teacher retrieval model to find passages related to the query, but not relevant compared to the positive passages, making it difficult for the model to differentiate positives from negat

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Analytics Vidhya

JULY 25, 2024

Introduction Vector databases are specialized databases that store data as high-dimensional vectors. These vectors serve as mathematical representations of features or attributes, with dimensions ranging from tens to thousands based on the complexity of the data. They are designed to manage high-dimensional data that traditional Database Management Systems (DBMS) struggle to handle effectively.

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Marktechpost

JULY 25, 2024

For small-to-mid-sized businesses (SMBs), the burden of manually executing day-to-day processes using folders of Excel files and third-party apps can be overwhelming. This time-consuming, error-prone method often hinders scaling. In the freight forwarding industry, for instance, the majority of tasks revolve around managing customer relationships, monitoring inventories, and scheduling delivery dates.

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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

Analytics Vidhya

JULY 25, 2024

In this session of Leading with Data, we have the honor of hosting Dr. Geetha Manjunath, the Founder and CEO of Niramai Analytix. With a distinguished career spanning over 25 years, Dr. Geetha has made significant strides in the field of artificial intelligence and healthcare. Holding a PhD from the Indian Institute of Science and […] The post From Tech Innovator to Healthcare Pioneer: Dr.

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Marktechpost

JULY 25, 2024

Large Language Models (LLMs) excel in generating human-like text, offering a plethora of applications from customer service automation to content creation. However, this immense potential comes with significant risks. LLMs are prone to adversarial attacks that manipulate them into producing harmful outputs. These vulnerabilities are particularly concerning given the models’ widespread use and accessibility, which raises the stakes for privacy breaches, dissemination of misinformation, and

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Analytics Vidhya

JULY 25, 2024

Introduction Imagine that you are about to produce a Python package that has the potential to completely transform the way developers and data analysts assess their models. The trip begins with a straightforward concept: a flexible RAG evaluation tool that can manage a variety of metrics and edge circumstances. You’ll go from initializing your package […] The post How to Build a RAG Evaluator Python Package with Poetry?

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Marktechpost

JULY 25, 2024

Video large language models (LLMs) have emerged as powerful tools for processing video inputs and generating contextually relevant responses to user commands. However, these models face significant challenges in their current methodologies. The primary issue lies in the high computational and labeling costs associated with training on supervised fine-tuning (SFT) video datasets.

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Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Extreme Tech

JULY 25, 2024

This is a surprisingly poor showing, even though Arrow Lake has eight fewer threads available for multi-core workloads compared with Raptor Lake.

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AWS Machine Learning Blog

JULY 25, 2024

Implementing hardware resiliency in your training infrastructure is crucial to mitigating risks and enabling uninterrupted model training. By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the training process.

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Machine Learning Mastery

JULY 25, 2024

AutoML is a tool designed for both technical and non-technical experts. It simplifies the process of training machine learning models. All you have to do is provide it with the dataset, and in return, it will provide you with the best-performing model for your use case. You don’t have to code for long hours or […] The post Introduction to AutoML: Automating Machine Learning Workflows appeared first on MachineLearningMastery.com.

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Extreme Tech

JULY 25, 2024

AI-generated answers now dominate the Bing web search experience, beginning with a 'small percentage' of user queries.

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DeepMind

JULY 25, 2024

Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics

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Towards AI

JULY 25, 2024

Last Updated on July 26, 2024 by Editorial Team Author(s): Lorenzo Zarantonello Originally published on Towards AI. Built-in AI will allow websites to run various AI tasks on-device — Google built-in AI concept for the browser. AI models are getting bigger and better by the day. Asking what the “best” frontier AI model is is akin to asking what the best vehicle is.

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AWS Machine Learning Blog

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise systems.

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Towards AI

JULY 25, 2024

Author(s): Eera Bhatt Originally published on Towards AI. Recently, two authors published a paper with guidance for conducting audits on predictive A.I. models to improve their ethics. In our case, an audit is an inspection of a predictive model just to evaluate its fairness. These authors outline several strategies to make sure that a predictive A.I. model aligns well with standard ethical practices.

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Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Extreme Tech

JULY 25, 2024

What was once a fear for game programmers, writers, designers, and even voice actors has become a reality.

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Machine Learning Research at Apple

JULY 25, 2024

This paper was accepted at the NeurIPS Datasets and Benchmarks Workshop at NeurIPS 2024 We introduce DataComp for Language Models (DCLM), a testbed for controlled dataset experiments with the goal of improving language models. As part of DCLM, we provide a standardized corpus of 240T tokens extracted from Common Crawl, effective pretraining recipes based on the OpenLM framework, and a broad suite of 53 downstream evaluations.

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Extreme Tech

JULY 25, 2024

The company says it discovered the initial CPUs it shipped to its partners must be replaced.

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