Tue.May 28, 2024

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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

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Data protection strategy: Key components and best practices

IBM Journey to AI blog

Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities.

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Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI

Analytics Vidhya

Introduction The rapid expansion of the Generative AI model capabilities enables us to develop many businesses around GenAI. Today’s model not only generates text data but also, with the powerful multi-modal model like GPT-4, Gemini can leverage image data to generate information. This capability has huge potential in the business world such as you can […] The post Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI appeared first on Analytics Vidhya.

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OpenAI Forms Safety Council, Trains Next-Gen AI Model Amid Controversies

Unite.AI

OpenAI has made significant strides in advancing artificial intelligence technologies, with its most recent achievement being the GPT-4o system that powers the popular ChatGPT chatbot. Today, OpenAI announced the establishment of a new safety committee, the OpenAI Safety Council, and revealed that it has begun training a new AI model. Who is in OpenAI's Safety Council?

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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30 Exciting New Features by Canva

Analytics Vidhya

Introduction Canva, a leader in digital content creation, recently held its annual Canva Create 2024 event in Los Angeles. At the event, the company unveiled a suite of innovative features and tools designed to enhance productivity and collaboration across various teams. These updates are set to revolutionize how organizations create and manage visual content.

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Tech Titan Aamod Sathe on AI, Startups, and the Future of Data

Analytics Vidhya

In our recent Leading with Data session, we were thrilled to welcome Aamod Sathe, a data science and analytics leader with nearly two decades of experience. Aamod currently leads the analytics team for MetaWorks under Reality Labs at Meta, where he is helping to build the metaverse and the future of work. With a strong […] The post Tech Titan Aamod Sathe on AI, Startups, and the Future of Data appeared first on Analytics Vidhya.

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The Rise of Agentic Retrieval-Augmented Generation (RAG) in Artificial Intelligence AI

Marktechpost

In the rapidly developing fields of data science and Artificial Intelligence (AI), the search for increasingly effective systems is also increasing significantly. The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times. This strategy is set to completely transform the way information is used and managed, offering a substantial improvement over current RAG systems.

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Star Skips Supernova Stage, Collapses Directly Into a Black Hole

Extreme Tech

The binary star system VFTS 243 could help scientists understand why some stars vanish more suddenly than others.

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Aaren: Rethinking Attention as Recurrent Neural Network RNN for Efficient Sequence Modeling on Low-Resource Devices

Marktechpost

Sequence modeling is a critical domain in machine learning, encompassing applications such as reinforcement learning, time series forecasting, and event prediction. These models are designed to handle data where the order of inputs is significant, making them essential for tasks like robotics, financial forecasting, and medical diagnoses. Traditionally, Recurrent Neural Networks (RNNs) have been used for their ability to process sequential data efficiently despite their limitations in parallel p

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Artificial Lawyer Launches Legal Tech Directory With Theorem Partnership

Artificial Lawyer

Here’s a big announcement folks! Artificial Lawyer is launching a new legal tech directory in partnership with Theorem. The directory, which is hosted and managed.

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Researchers at Arizona State University Evaluates ReAct Prompting: The Role of Example Similarity in Enhancing Large Language Model Reasoning

Marktechpost

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering. With these capabilities, researchers are keen to explore their potential in tasks that require reasoning and planning.

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Juralio Partners With Ex-EY Eric Eck For European Growth

Artificial Lawyer

Juralio, the legal matter mapping and budgeting platform, has formed a partnership with Guirbaden, an advisory outfit created by Eric Eck, who was previously with.

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This AI Paper from Cornell Unravels Causal Complexities in Interventional Probability Estimation

Marktechpost

Causal models are crucial for explaining the causal relationships among variables. These models help to understand how various factors interact and influence each other in complex systems. However, it is challenging to find the probabilities related to interventions and conditioning at the same time. Moreover, AI research has focused on two types of models: functional causal models and causal Bayesian networks (CBN).

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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[The AI Show Episode 99]: Microsoft Build’s AI Announcement, OpenAI Scarlett Johansson Controversy, and Google’s Awful AI Overviews

Marketing AI Institute

In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft's new AI-infused PCs, Copilot AI agents, and Team Copilot. Our two hosts also look into the controversy surrounding GPT-4o's Sky voice and its alleged similarity to Scarlett Johansson, and discuss Sundar Pichai's thoughts on AI's influence on search traffic and the accuracy of Google's AI Overviews.

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Overcoming Gradient Inversion Challenges in Federated Learning: The DAGER Algorithm for Exact Text Reconstruction

Marktechpost

Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. However, gradient inversion attacks can compromise this privacy by reconstructing the original data from the shared gradients. While effective on image data, these attacks need help with text due to their discrete nature, leading to only approximate recovery of small batches and short sequences.

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The Primary Purpose of Legal Tech Is….?

Artificial Lawyer

What is legal tech actually for? Why do so many talented people work so hard in this sector? Why is so much time and money invested in this endeavour?

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Inductive Biases in Deep Learning: Understanding Feature Representation

Marktechpost

Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or modify them to enhance alignment, interpretability, or generalization. Similarly, neuroscience examines neural representations and their behavioral correlations.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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Social Impact Using Data and AI: Revealing the 2024 Finalists for the Data For Good Award

databricks

The annual Data Team Awards celebrate the critical contributions of data teams to various sectors, spotlighting their role in driving progress and positive.

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NV-Embed: NVIDIA’s Groundbreaking Embedding Model Dominates MTEB Benchmarks

Marktechpost

NVIDIA has recently introduced NV-Embed on Hugging Face , a revolutionary embedding model poised to redefine the landscape of NLP. This model, characterized by its impressive versatility and performance, has taken the top spot across multiple tasks in the Massive Text Embedding Benchmark (MTEB). Licensed under cc-by-nc-4.0 and built on a large language model (LLM) architecture, NV-Embed showcases various architectural designs and training procedures that significantly enhance its performance as

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The EV Slowdown Isn't As Dramatic As It Looks: Report

Extreme Tech

A new analysis suggests that despite recent events, the electric vehicle market is 'on the verge of its next growth spurt.

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The Evolution of the GPT Series: A Deep Dive into Technical Insights and Performance Metrics From GPT-1 to GPT-4o

Marktechpost

The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in language generation and understanding. From GPT-1 to GPT-4o and its subsequent iterations, each model has significantly improved architecture, training data, and performance. Let’s do a comprehensive technical overview of the GPT series, backed by key metrics and insights highlighting their transformative impact on AI.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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This New Gigabyte Motherboard for AMD Zen 5 Supports a 128-Pound GPU

Extreme Tech

The company has outfitted the PCIe slot with thick 'armor' to hold an impossibly huge graphics card.

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Deep Learning in Healthcare: Challenges, Applications, and Future Directions

Marktechpost

Biomedical data is increasingly complex, high-dimensional, and heterogeneous, encompassing sources such as electronic health records (EHRs), imaging, -omics data, sensors, and text. Traditional data mining and statistical methods must improve with this complexity, often requiring extensive feature engineering and domain expertise to extract meaningful insights.

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YouTube's Ad Blocker Offensive Now Mutes Videos, Skips to the End

Extreme Tech

Both errors appear to disappear after users uninstall or disengage their ad blockers.

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From Noisy Hypotheses to Clean Text: How Denoising LM (DLM) Improves Speech Recognition Accuracy

Marktechpost

Speech recognition technology focuses on converting spoken language into text. It involves processes such as acoustic modeling, language modeling, and decoding, aiming to achieve high accuracy in transcriptions. Significant advancements have been made in this field, driven by machine learning algorithms and large datasets. These advancements enable more accurate and efficient speech recognition systems, crucial for various applications like virtual assistants, transcription services, and accessi

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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iManage Forms Data Protection Partnership With HYCU

Artificial Lawyer

iManage has today announced a partnership with HYCU, a leader in ‘data protection as a service’, to give iManage Cloud customers a new capability for.

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InternLM Research Group Releases InternLM2-Math-Plus: A Series of Math-Focused LLMs in Sizes 1.8B, 7B, 20B, and 8x22B with Enhanced Chain-of-Thought, Code Interpretation, and LEAN 4 Reasoning

Marktechpost

The InternLM research team delves into developing and enhancing large language models (LLMs) specifically designed for mathematical reasoning and problem-solving. These models are crafted to bolster artificial intelligence’s capabilities in tackling intricate mathematical tasks, encompassing formal proofs and informal problem-solving. Researchers have noted that current AI models often need to catch up regarding the depth and precision required for complex mathematical computations and log

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OpenAI's Scarlett Johansson Controversy

Marketing AI Institute

OpenAI is facing serious backlash after allegations it used actress Scarlett Johansson's voice without permission for one of the updated voices in its new GPT-4o model.

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