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?
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?
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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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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Analytics Vidhya
JULY 23, 2024
Introduction Recent software and hardware advancements have opened up exciting possibilities, making running large language models (LLMs) on personal computers feasible. One fantastic tool that makes this easier is LM Studio. In this article, we’ll dive into how to run an LLM locally using LM Studio. We’ll walk through the essential steps, explore potential challenges, […] The post How to Run LLM Locally Using LM Studio?
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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
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
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.
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
Speaker: Jesse Hunter and Brynn Chadwick
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.
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.
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.
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
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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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
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.
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.
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.
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.
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
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
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.
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.
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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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.
Marketing AI Institute
JULY 23, 2024
A recent conversation between The Information and Chevron's Chief Information Officer Bill Braun has shed light on a surprising AI reality:
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.
Marketing AI Institute
JULY 23, 2024
OpenAI just released GPT-4o Mini , their most cost-efficient small model to date.
Machine Learning Mastery
JULY 23, 2024
Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others.
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.
Extreme Tech
JULY 23, 2024
Normally used to capture the shape of a galaxy, these indices can spot photorealistic avatars and AI-generated copies of real people.
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.
Extreme Tech
JULY 23, 2024
It's due to incorrect voltage requests to the processor, says Intel.
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