Wed.Sep 25, 2024

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How a solid generative AI strategy can improve telecom network operations

IBM Journey to AI blog

Generative AI (gen AI) has transformed industries with applications such as document-based Q&A with reasoning, customer service chatbots and summarization tasks. These use cases have demonstrated the impressive capabilities of large language models (LLMs) in understanding and generating human-like responses, particularly in fields requiring nuanced language understanding and inferencing.

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How sales teams can use AI today to optimise conversions

AI News

Staying competitive in modern sales today effectively means embracing the latest trends in tech. Since late 2022 – when generative AI made its way to the public’s consciousness thanks to OpenAI’s ChatGPT – AI has been at the forefront of this shift, changing the way sales teams (like most other teams) operate and connect with clients. In this blog post, let’s dive into how AI is streamlining sales activities and helping boost conversion rates.

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Advanced Vector Indexing Techniques for High-Dimensional Data

Analytics Vidhya

Introduction In the current data-focused society, high-dimensional data vectors are now more important than ever for various uses like recommendation systems, image recognition, NLP, and anomaly detection. Efficiently searching through these vectors at scale can be difficult, especially with datasets containing millions or billions of vectors. More advanced indexing techniques are needed as traditional methods […] The post Advanced Vector Indexing Techniques for High-Dimensional Data appea

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Top 5 Reverse Video Search Tools for Accurate Results

Unite.AI

Ever found yourself staring at a video, wondering who originally posted it? Or maybe you’ve created one yourself, and suddenly, it’s popping up all over the internet without credit. Reverse video search tools are designed for situations like these. They let you upload a clip and track its source in the blink of an eye. Beyond satisfying curiosity, they’re invaluable for content creators and brands looking to enforce copyright protection.

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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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6 Programming Languages Used by NASA

Analytics Vidhya

Introduction Imagine being part of a mission to Mars or guiding spacecraft through the far reaches of the solar system. At NASA, the code that powers these scientific breakthroughs and space missions isn’t just ordinary. It’s carefully chosen, tested, and implemented to ensure absolute precision. But have you ever wondered what programming languages power NASA’s […] The post 6 Programming Languages Used by NASA appeared first on Analytics Vidhya.

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AI Agents in Social Media for Content Moderation and Curation

Analytics Vidhya

Introduction The rise of social media platforms has resulted in an explosion of user-generated content. While these platforms provide spaces for expression, engagement, and connection, they also introduce the need for content moderation and curation. However, moderating billions of posts, images, videos, and comments every day, and curating relevant content to suit the individual preferences […] The post AI Agents in Social Media for Content Moderation and Curation appeared first on Analyt

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A New System for Temporally Consistent Stable Diffusion Video Characters

Unite.AI

A new initiative from the Alibaba Group offers one of the best methods I have seen for generating full-body human avatars from a Stable Diffusion-based foundation model. Titled MIMO ( MIM icking with O bject Interactions), the system uses a range of popular technologies and modules, including CGI-based human models and AnimateDiff , to enable temporally consistent character replacement in videos – or else to drive a character with a user-defined skeletal pose.

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Efficient Human Posture Estimation: A Step-by-Step Guide with Active Display Control

Analytics Vidhya

Introduction Within the domain of computer vision, Human Posture Estimation stands as a captivating field with applications extending from increased reality and gaming to mechanical autonomy and healthcare. This article sheds light on the complexities of human posture estimation, its significance, fundamental advances, and striking applications. Posture estimation, an intriguing field inside computer vision, includes […] The post Efficient Human Posture Estimation: A Step-by-Step Guide wit

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Strawberry’s Paradox: When Perfect Answers Aren’t Enough

Cassie Kozyrkov

How AI Advances Are Shifting the Burden to Human Judgment Continue reading on Towards Data Science »

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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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Building 5 Simple Apps using LlamaCoder

Analytics Vidhya

Coding has been a challenge for people without a technical background for a long time. However, Generative AI is changing that. With the advent of GenAI tools, the gap between the coding world and non-tech individuals is shrinking every day. These tools not only give non-technical users the opportunity to experiment with building basic code […] The post Building 5 Simple Apps using LlamaCoder appeared first on Analytics Vidhya.

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Jay Shroeder, CTO at CNH – Interview Series

Unite.AI

Jay Schroeder serves as the Chief Technology Officer (CTO) at CNH , overseeing the company’s global research and development operations. His responsibilities include managing areas such as technology, innovation, vehicles and implements, precision technology, user experience, and powertrain. Schroeder focuses on enhancing the company’s product portfolio and precision technology capabilities, with the aim of integrating precision solutions across the entire equipment range.

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Vector Embeddings with Cohere and Hugging Face

Analytics Vidhya

Introduction If you are asked to explain RAG in English to someone who doesn’t understand a single word in that language—it will be challenging for you, right? Now, think about machines(that don’t understand human language) – when they try to make sense of human language, images, or even music. This is where vector embeddings come to the […] The post Vector Embeddings with Cohere and Hugging Face appeared first on Analytics Vidhya.

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Bluebricks Raises $4.5M to Revolutionize Cloud Infrastructure Management with Atomic Infrastructure™ Technology

Unite.AI

Cloud management startup Bluebricks has raised $4.5 million in seed funding to accelerate the development of its cutting-edge Atomic Infrastructure ™ technology. The funding round was led by Flint Capital and Glilot Capital Partners , with notable industry figures such as Yochay Ettun, CEO of cnvrg.io (acquired by Intel), and Raz Shaked, Head of DevOps at Wiz, among the investors.

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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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Microsoft Releases RD-Agent: An Open-Source AI Tool Designed to Automate and Optimize Research and Development Processes

Marktechpost

Microsoft’s release of RD-Agent marks a milestone in the automation of research and development (R&D) processes, particularly in data-driven industries. This cutting-edge tool eliminates repetitive manual tasks, allowing researchers, data scientists, and engineers to streamline workflows, propose new ideas, and implement complex models more efficiently.

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How AI Solves the ‘Cocktail Party Problem’ and Its Impact on Future Audio Technologies

Unite.AI

Imagine being at a crowded event, surrounded by voices and background noise, yet you manage to focus on the conversation with the person right in front of you. This ability to isolate a specific sound amidst the noisy background is known as the Cocktail Party Problem , a term first coined by British scientist Colin Cherry in 1958 to describe this remarkable ability of the human brain.

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Llama 3.2 models from Meta are now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs), providing enhanced capabilities and broader applicability across various use cases. With a focus on responsible innovation and system-level safety, these new models demonstrate state-of-the-art performance on a wide range of industry benchmarks and introduce features

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Llama 3.2 Released: Unlocking AI Potential with 1B and 3B Lightweight Text Models and 11B and 90B Vision Models for Edge, Mobile, and Multimodal AI Applications

Marktechpost

The demand for customizable, open models that can run efficiently on various hardware platforms has grown, and Meta is at the forefront of catering to this demand. Meta open-sourced the release of Llama 3.2 , featuring small and medium-sized vision LLMs (11B and 90B), along with lightweight, text-only models (1B and 3B) designed for edge and mobile devices, available in both pre-trained and instruction-tuned versions.

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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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Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models

databricks

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

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Simplifying Diffusion Models: Fine-Tuning for Faster and More Accurate Depth Estimation

Marktechpost

Monocular depth estimation (MDE) plays an important role in various applications, including image and video editing, scene reconstruction, novel view synthesis, and robotic navigation. However, this task poses significant challenges due to the inherent scale distance ambiguity, making it ill-posed. Learning-based methods should utilize robust semantic knowledge to achieve accurate results and overcome this limitation.

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Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative

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5 Essential Machine Learning Techniques to Master Your Data Preprocessing

Towards AI

Last Updated on September 27, 2024 by Editorial Team Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. A Comprehensive Data Science Guide to Preprocessing for Success: From Missing Data to Imbalanced Datasets This member-only story is on us. Upgrade to access all of Medium. In just about any organization, the state of information quality is at the same low level – Olson, Data Quality Data is everywhere!

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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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PromSec: An AI Algorithm for Prompt Optimization for Secure and Functioning Code Generation Using LLM

Marktechpost

Software development has benefited greatly from using Large Language Models (LLMs) to produce high-quality source code, mainly because coding tasks now take less time and money to complete. However, despite these advantages, LLMs frequently produce code that, although functional, frequently has security flaws, according to both current research and real-world assessments.

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A 4-Step Guide to Convert Text News to Audio using Retrieval-Augmented Generation (RAG) with LLMs

Towards AI

Last Updated on September 27, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. A beginner-friendly guide to using a RAG model and your entry point to the AI world This member-only story is on us. Upgrade to access all of Medium. We live in the age of AI. Over the last 2 years, since the advent of Open AI, thanks to Sam Altman and his team, the world has moved at a rapid pace in the field of Artificial Intelligence.

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Subgroups: An Open-Source Python Library for Efficient and Customizable Subgroup Discovery

Marktechpost

Subgroup Discovery (SD) is a supervised machine learning method used for exploratory data analysis to identify relationships (subgroups) within a dataset relative to a target variable. Key components in SD algorithms include the search strategy, which explores the problem’s search space, and the quality measure, which evaluates the subgroups identified.

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Tracing a LLM Agent with LangSmith

Towards AI

Last Updated on September 27, 2024 by Editorial Team Author(s): Pere Martra Originally published on Towards AI. This article is based on content from my book “Large Language Models Projects: Apply and Implement Strategies for Large Language Models” (Apress) and a free GitHub course about LLMs. For the creation of this article, I will be using an agent that was built in a previous article: How to Create a Medical Agent / RAG System.

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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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Optimizing Energy Efficiency in Machine Learning ML: A Comparative Study of PyTorch Techniques for Sustainable AI

Marktechpost

With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML projects prioritized accuracy over energy efficiency, contributing to increased energy consumption. Green software engineering, highlighted by Gartner as a key trend for 2024, focuses on addressing this issue.

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France’s DiliTrust Buys doeLEGAL For US Expansion

Artificial Lawyer

In a sign of continued consolidation in the legal tech sector, Paris-based DiliTrust, a multi-capability platform for corporates, has bought Delaware-based Enterprise Legal Management (ELM).

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Project Guacamaya uses daily satellite images, Amazon-specific AI models in battle against deforestation

Microsoft AI

Project Guacamaya, using Microsoft AI, monitors rainforest deforestation and protects biodiversity with satellite imagery, camera traps, and bioacoustics.