Wed.May 22, 2024

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Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI

Analytics Vidhya

Introduction Microsoft has pushed the boundaries with its latest AI offerings, the Phi-3 family of models. These compact yet mighty models were unveiled at the recent Microsoft Build 2024 conference and promise to deliver exceptional AI performance across diverse applications. The family includes the bite-sized Phi-3-mini, the slightly larger Phi-3-small, the midrange Phi-3-medium, and the […] The post Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI appeared

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OpenAI secures key partnership with Reddit

AI News

OpenAI has secured a deal to access real-time content from Reddit through the platform’s data API. This allows OpenAI to incorporate conversations from Reddit into ChatGPT and other new products, echoing a previous agreement that the platform had with Google , reportedly valued at $60 million. The partnership enables OpenAI to better sample the datasets on which their models are trained, allowing AI systems to become more precise and context-aware.

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Let’s Build a Script Generator using Generative AI

Analytics Vidhya

Introduction Have you ever wondered about how the characters of your favourite web series lived after the end of the series? If yes, then this blog will assist you in building a script generator that will generate a script for a new episode. Our model will be trained on the scripts of all the episodes […] The post Let’s Build a Script Generator using Generative AI appeared first on Analytics Vidhya.

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Filter profanity from audio files using Python

AssemblyAI

With a greater amount of online interaction happening every day, it’s become increasingly difficult to ensure that these interactions are safe and constructive. Profanity filtering is a common technique used for this purpose across various applications, from social media to customer support. Profanity detection artificial intelligence models now enable developers to automatically and efficiently filter out offensive language at scale, facilitating the development of safe and welcoming dig

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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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Build an AI Research Assistant Using CrewAI and Composio

Analytics Vidhya

Introduction With every iteration of the LLM development, we are nearing the age of AI agents. An age where AI agents are deeply integrated into software workflows, handling the majority of tasks, from automating personal productivity tasks like scheduling meetings and managing emails to providing personalized reminders and organizing daily to-do lists.

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Explore Dual3D – An Innovative Diffusion Model for Text-to-3D Model Generation

Analytics Vidhya

Introduction The world of 3D generation has just made huge progress with the introduction of Dual3D. This new framework efficiently transforms text descriptions into high-quality 3D assets in just a minute. In the field of text-to-3D creation, Dual3D sets a new benchmark with its dual-mode multi-view latent diffusion model. This article explains the development of […] The post Explore Dual3D – An Innovative Diffusion Model for Text-to-3D Model Generation appeared first on Analytics V

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This AI Paper by the National University of Singapore Introduces MambaOut: Streamlining Visual Models for Improved Accuracy

Marktechpost

In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks (CNNs) have become fundamental tools, driving substantial improvements in visual recognition performance.

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Leveraging MongoDB Atlas Vector Search for Semantic Search and RAG

Analytics Vidhya

Introduction Did you know that MongoDB Atlas now provides powerful vector search capabilities? Yes, it now lets you perform semantic search on your data and implement retrieval-augmented generation (RAG) for large language model (LLM) applications. By integrating Atlas Vector Search with popular frameworks like LangChain, LlamaIndex, and client libraries, you can easily build advanced natural […] The post Leveraging MongoDB Atlas Vector Search for Semantic Search and RAG appeared first on

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Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks

Marktechpost

Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making tasks. However, the challenge to this approach is to address simulation-to-reality (sim-to-real) gaps. Also, a huge amount of data is needed while learning to solve these tasks, and the load of collecting data in real-time with physical robots increases due to giving unlimited training supervision via state-of-the-art simulation.

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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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DataHack Summit 2024: The Ultimate GenAI Event of the Year

Analytics Vidhya

With all the anticipation and news surrounding AI advancements, we’re excited to announce the 5th edition of our much-anticipated GenAI event of the year. Yes, the DataHack Summit is coming this August, bigger and better than ever before. The recent trend is that there isn’t a day that goes by without some new development in […] The post DataHack Summit 2024: The Ultimate GenAI Event of the Year appeared first on Analytics Vidhya.

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Hugging Face Releases LeRobot: An Open-Source Machine Learning (ML) Model Created for Robotics

Marktechpost

Hugging Face has recently introduced LeRobot , a machine learning (ML) model created especially for practical robotics use. LeRobot provides an adaptable platform with an extensive library for advanced model training, data visualization, and sharing. This release represents a major advancement in the goal of increasing robots’ usability and accessibility for a broad spectrum of users.

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Announcing General Availability of Liquid Clustering

databricks

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

AWS Machine Learning Blog

In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One of the main advantages of high-quality product descriptions is the improvement in searchability.

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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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Apple Researchers Propose KV-Runahead: An Efficient Parallel LLM Inference Technique to Minimize the Time-to-First-Token

Marktechpost

Large language models (LLMs), particularly Generative Pre-trained Transformer (GPT) models, have demonstrated strong performance across various language tasks. However, challenges persist in their decoder architecture, Specifically in time-to-first-token (TTFT) and time-per-output token (TPOT). TTFT, reliant on extensive user context, and TPOT, for rapid subsequent token generation, have spurred research into memory-bound solutions like sparsification and speculative decoding.

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Optimizing Databricks LLM Pipelines with DSPy

databricks

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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AI and CRISPR: Revolutionizing Genome Editing and Precision Medicine

Marktechpost

CRISPR-based genome editing technologies have revolutionized gene study and medical treatment by enabling precise DNA alterations. AI integration has enhanced these technologies’ precision, efficiency, and affordability, particularly for diseases like Sickle Cell Anemia and Thalassemia. AI models such as DeepCRISPR, CRISTA, and DeepHF optimize guide RNA (gRNA) design for CRISPR-Cas systems by considering factors like genomic context and off-target effects.

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24-Hour Ticket Sale for Legal Innovators California !!!

Artificial Lawyer

Don’t miss out on our latest 24-hour flash sale! It starts at 9AM PST today (May 22) and ends the same time tomorrow (May 23). We’ve got FIVE complimentary tickets up for grabs.

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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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Prometheus-Eval and Prometheus 2: Setting New Standards in LLM Evaluation and Open-Source Innovation with State-of-the-art Evaluator Language Model

Marktechpost

In natural language processing (NLP), researchers constantly strive to enhance language models’ capabilities, which play a crucial role in text generation, translation, and sentiment analysis. These advancements necessitate sophisticated tools and methods for evaluating these models effectively. One such innovative tool is Prometheus-Eval. Prometheus-Eval is a repository that provides tools for training, evaluating, and using language models specialized in evaluating other language models.

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Irwin Mitchell Selects Lexis+ AI For Research and Drafting

Artificial Lawyer

Irwin Mitchell, one of the largest general practice law firms in the UK, has selected Lexis+ AI, its LLM-based legal tech capability, to support its lawyers with research and drafting.

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Mistral AI Team Releases The Mistral-7B-Instruct-v0.3: An Instruct Fine-Tuned Version of the Mistral-7B-v0.3

Marktechpost

The field of AI involves the development of systems that can do tasks requiring human intelligence. These tasks encompass a broad range, including language translation, speech recognition, and decision-making processes. Researchers in this domain are dedicated to creating advanced models and tools to process and analyze vast datasets efficiently. A significant challenge in AI is creating models that accurately understand and generate human language.

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Back To The Future As LawGeex Offshoot Superlegal Bags $5m For Contract Review

Artificial Lawyer

It’s back to the future for Noory Bechor and his legal AI contract review startup Superlegal, which has grown out of the ashes of LawGeex.

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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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Safe Reinforcement Learning: Ensuring Safety in RL

Marktechpost

Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which has led to the emergence of Safe Reinforcement Learning (Safe RL). Safe RL aims to ensure that RL algorithms operate within predefined safety constraints while optimizing performance.

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CLM Evisort Integrates with Microsoft Copilot

Artificial Lawyer

Evisort, the AI-driven CLM pioneer, has announced today it has been selected as one of just 30 strategic partners chosen by Microsoft to demonstrate ‘an.

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Pedestrians Aren't Hearing EVs on the Road

Extreme Tech

Research shows that a lack of engine noise is making EVs difficult to spot before it's too late.

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How Real-World Enterprises are Leveraging Generative AI

databricks

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the.

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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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May's Auroras Might Have Been Among the Strongest Seen in 500 Years

Extreme Tech

Scientists haven't seen auroras this widespread since aurora record-keeping first began.

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5 Essential Classification Algorithms Explained for Beginners

Machine Learning Mastery

Introduction Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling. It is for this reason that those new to data science must know about […] The post 5 Essential Classification Algorithms Explained for Beginners appeared first on MachineLearningMastery.com.

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Satellite Data Shows Dangerous Flexing in Doomsday Glacier

Extreme Tech

Scientists studying Thwaites Glacier say the massive ice shelf rises and falls with the tides.

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