Unite.AI

JULY 23, 2024

The idea of reading minds has fascinated humanity for centuries, often seeming like something from science fiction. However, recent advancements in artificial intelligence (AI) and neuroscience bring this fantasy closer to reality. Mind-reading AI, which interprets and decodes human thoughts by analyzing brain activity, is now an emerging field with significant implications.

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Analytics Vidhya

JULY 23, 2024

Introduction Stable diffusion is a powerful (generative model) tool to create high-quality images from noise. Stable diffusion consists of two steps: a forward diffusion process and a reverse diffusion process. In the forward diffusion process, noise is progressively added to an image, effectively degrading its quality. This step is crucial for training the model, as […] The post What is the Reverse Diffusion Process?

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Neural Network 308

Unite.AI

JULY 23, 2024

Charity is an ops engineer and accidental startup founder at Honeycomb. Before this she worked at Parse, Facebook, and Linden Lab on infrastructure and developer tools, and always seemed to wind up running the databases. She is the co-author of O'Reilly's Database Reliability Engineering , and loves free speech, free software, and single malt scotch.

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Analytics Vidhya

JULY 23, 2024

Introduction Imagine being a medical student needing to visualize complex anatomical structures or a data scientist creating interactive 3D models. PyVista offers the precision and interactivity required to make these tasks engaging and insightful. We’ll start by exploring PyVista’s features and installation, then create stunning human anatomy visualizations, such as the brain, chest, and whole […] The post How to Use PyVista for Interactive 3D Medical Visualizations appeared f

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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

AI News

JULY 23, 2024

A study conducted by OpenResearch has shed light on the transformative potential of universal basic income (UBI). The research aimed to “learn from participants’ experiences and better understand both the potential and the limitations of unconditional cash transfers.” The study – which provided participants with an extra $1,000 per month – revealed significant impacts across various aspects of recipients’ lives, including health, spending habits, employment, personal agen

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IBM Journey to AI blog

JULY 23, 2024

On Tuesday, July 23, Meta announced the launch of the Llama 3.1 collection of multilingual large language models (LLMs). Llama 3.1 comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. The instruction-tuned Llama 3.1-405B, which figures to be the largest and most powerful open source language model available today and competitive with the best proprietary models on the market, will

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Analytics Vidhya

JULY 23, 2024

Introduction Imagine if your virtual assistant could understand and anticipate your needs perfectly. This vision is becoming a reality with advancements in large language models (LLMs). However, to tailor these models to specific tasks, fine-tuning is essential. Think of it as sculpting a rough block into a precise masterpiece. MonsterAPI simplifies this process, making fine-tuning […] The post How to Fine-Tune Large Language Models with MonsterAPI appeared first on Analytics Vidhya.

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Large Language Models Generative AI Python AI 284

Ehud Reiter

JULY 23, 2024

In June 2024 we had a one-day workshop in Aberdeen on AI in healthcare, which included clinicians, vendors, and health managers as well as researchers. One of the paradoxes I saw was that although the research presented was exciting and showed that AI could provide real clinical benefits ( BBC News) , this technology is not being used. For example, one speaker said that in 2022, the NHS in Scotland had a total of 5 AI applications deployed and in production usage; and in 2024 nothing had changed

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Analytics Vidhya

JULY 23, 2024

Introduction In an era where information is at our fingertips, the ability to ask a question and receive a precise answer has become crucial. Imagine having a system that understands the intricacies of language and delivers accurate responses to your queries in an instant. This article explores how to build such a powerful question-answer model […] The post Creating a QA Model with Universal Sentence Encoder and WikiQA appeared first on Analytics Vidhya.

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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

Unite.AI

JULY 23, 2024

Artificial intelligence can be implemented into many aspects of our daily lives, even personal grooming and style. AI hairstyle apps have emerged for those seeking to experiment with new looks without the commitment of an actual haircut. These applications use AI to do things like analyze facial features and suggest hairstyles, allowing users to virtually try on different cuts, colors, and styles.

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Analytics Vidhya

JULY 23, 2024

Introduction The introduction of the original transformers paved the way for the current Large Language Models. Similarly, after the introduction of the transformer model, the vision transformer (ViT) was introduced. Like the transformers which excel at understanding text and generating text given a response, vision transformer models were developed to understand images and provide information […] The post How to Perform Computer Vision Tasks with Florence-2 appeared first on Analytics Vid

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Unite.AI

JULY 23, 2024

Large Language Models (LLMs) deploying on real-world applications presents unique challenges, particularly in terms of computational resources, latency, and cost-effectiveness. In this comprehensive guide, we'll explore the landscape of LLM serving, with a particular focus on vLLM (vector Language Model), a solution that's reshaping the way we deploy and interact with these powerful models.

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Analytics Vidhya

JULY 23, 2024

Introduction Imagine having an assistant who’s always at your fingertips, ready to help at any moment. That’s what an AI agent offers. Unlike your human assistant, who needs coffee breaks and rest, an AI agent is tireless, working around the clock to support you. Need to schedule a meeting at the last minute? Done. Looking […] The post How to Build Autonomous AI Agents Using OpenAGI?

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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

IBM Journey to AI blog

JULY 23, 2024

Thanks to the transformative benefits promised by generative artificial intelligence (AI), the banking and financial sectors are at a turning point. From redefining a bank’s competitive edge in customer relationships to streamlining core banking operations and strengthening cyber-resiliency, AI technologies can unlock numerous new capabilities.

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Analytics Vidhya

JULY 23, 2024

Introduction Have you ever participated in a Kaggle competition? Have you ever wondered what it takes to win one or to become a Kaggle Grandmaster? H2O.ai’s Senior Data Scientist, Nikhil Kumar Mishra, recently achieved the Kaggle Grandmaster title with his 5th Gold in competitions. He spoke to Analytics Vidhya following the win to share with […] The post Nikhil Mishra’s Journey to Becoming a Kaggle Grandmaster appeared first on Analytics Vidhya.

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Data Scientist Data Science 205

Unite.AI

JULY 23, 2024

Every professional can relate to the feeling of watching an older, highly experienced coworker retire. While it’s often a happy occasion to celebrate the contributions, an individual brought to a company, the gulf of skill and knowledge that person leaves can be intimidating to fill. Many businesses today are all too familiar with this retirement trend – especially in developed and Western nations – as more individuals from older generations continue to leave the workforce.

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Analytics Vidhya

JULY 23, 2024

Introduction In our previous article about LangChain Document Loaders, we explored how LangChain’s document loaders facilitate loading various file types and data sources into an LLM application. Can we send the data to the LLM now? Not so fast. LLMs have limits on context window size in terms of token numbers, so any data more […] The post 7 Ways to Employ LangChain Text Splitters for Enhanced Data Processing appeared first on Analytics Vidhya.

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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

databricks

JULY 23, 2024

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

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Marktechpost

JULY 23, 2024

In recent years, research on tabular machine learning has grown rapidly. Yet, it still poses significant challenges for researchers and practitioners. Traditionally, academic benchmarks for tabular ML have not fully represented the complexities encountered in real-world industrial applications. Most available datasets either lack the temporal metadata necessary for time-based splits or come from less extensive data acquisition and feature engineering pipelines compared to common industry ML prac

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databricks

JULY 23, 2024

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

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Marktechpost

JULY 23, 2024

General circulation models (GCMs) form the backbone of weather and climate prediction, leveraging numerical solvers for large-scale dynamics and parameterizations for smaller-scale processes like cloud formation. Despite continuous improvements, GCMs face significant challenges, including persistent errors, biases, and uncertainties in long-term climate projections and extreme weather events.

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Towards AI

JULY 23, 2024

Last Updated on July 23, 2024 by Editorial Team Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Robert Thiemann on Unsplash The Conundrum — To Overfit or Generalize? So here’s the thing when training a model — you are often advised never to overfit. Somehow it makes sense because overfitting is when a model’s algorithm learns its training data so well that it fails to make accurate predictions on new, unseen data.

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Marktechpost

JULY 23, 2024

Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. This challenge is particularly relevant in real-world applications where LLMs must fetch real-time data, perform complex calculations, or interact with APIs to complete tasks accurately.

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NVIDIA

JULY 23, 2024

Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives. Just as TSMC manufactures chips designed by other companies, NVIDIA AI Foundry provides the infrastructure and tools for other companies to develop and customize AI models — using DGX Cloud

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Marktechpost

JULY 23, 2024

Securing their products is a challenge for businesses. Teams are inundated with false positives from current Static Application Security Testing (SAST) technologies, and those identifying vulnerabilities cannot be fixed. Meet ZeroPath , a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code. The ZeroPath tool not only automatically identifies vulnerabilities in your code but also confirms them and provides solutions to fix them.

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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

Towards AI

JULY 23, 2024

Last Updated on July 24, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Let me ask you a question: have you ever visited your old childhood neighborhood and been stunned by the changes it has undergone, it looks unrecognizable. Probably while you were growing up it was an old abandoned street with few buildings and malls, but now it has become a commercial hub buzzing with activities.

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Marktechpost

JULY 23, 2024

Large Language Models (LLMs) have made a significant leap in recent years, but their inference process faces challenges, particularly in the prefilling stage. The primary issue lies in the time-to-first-token (TTFT), which can be slow for long prompts due to the deep and wide architecture of state-of-the-art transformer-based LLMs. This slowdown occurs because the cost of computing attention increases quadratically with the number of tokens in the prompts.

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Marketing AI Institute

JULY 23, 2024

Join our hosts as they unpack Chevron CIO Bill Braun's candid insights on the challenges of implementing AI in large corporations, explore OpenAI's latest GPT-4o mini model , and discuss the latest findings in prompting research. Plus, get the latest on Apple’s AI training data , AI’s impact on the Crowdstrike outage , and the latest developments in AI at Meta.

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