Tue.Jun 11, 2024

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Optimizing LLMs with Mistral AI’s New Fine-Tuning APIs

Analytics Vidhya

Introduction Fine-tuning enables large language models to better align with specific tasks, teach new facts, and incorporate new information. Fine-tuning significantly improves performance compared to prompting, typically surpassing larger models due to its speed and cost-effectiveness. It offers superior task alignment because it undergoes specific training for these tasks.

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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

Unite.AI

Although AutoML rose to popularity a few years ago, the ealy work on AutoML dates back to the early 90’s when scientists published the first papers on hyperparameter optimization. It was in 2014 when ICML organized the first AutoML workshop that AutoML gained the attention of ML developers. One of the major focuses over the years of AutoML is the hyperparameter search problem, where the model implements an array of optimization methods to determine the best performing hyperparameters in a large

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80+ Excel Shortcuts That You Should Know in 2024

Analytics Vidhya

Introduction Undoubtedly, Microsoft Excel is one of the most important tools in quick-paced data processing and analysis. Because of its capacity to function well in a dynamic environment, Excel has become more well-known and acknowledged as a valuable tool among research, data science, accounting, and finance professionals. It is a commonly used program, especially with […] The post 80+ Excel Shortcuts That You Should Know in 2024 appeared first on Analytics Vidhya.

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Approaches to migrating your VMware workloads to AWS   

IBM Journey to AI blog

The VMware® acquisition by Broadcom has changed VMware’s product and partner strategies. In November 2023, Broadcom finalized its acquisition (link resides outside ibm.com) of VMware for USD 69 billion, with an aim to enhance its multicloud strategy. Further to the acquisition, Broadcom decided to discontinue (link resides outside ibm.com) its AWS authorization to resell VMware Cloud on AWS as of 30 April 2024.

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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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Stored Procedure in SQL

Analytics Vidhya

Introduction Stored procedures are a crucial part of SQL databases. They consist of prepared SQL code that you can save and reuse. This feature helps avoid writing the same queries repeatedly. You can call the stored procedure to execute the saved code. Additionally, stored procedures can accept parameters, making them versatile and dynamic. This article […] The post Stored Procedure in SQL appeared first on Analytics Vidhya.

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What is Exploratory Data Analysis (EDA) and How Does it Work?

Analytics Vidhya

Introduction Exploratory Data Analysis (EDA) is a process of describing the data by means of statistical and visualization techniques in order to bring important aspects of that data into focus for further analysis. This involves inspecting the dataset from many angles, describing & summarizing it without making any assumptions about its contents.

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Qwen2 – Alibaba’s Latest Multilingual Language Model Challenges SOTA like Llama 3

Unite.AI

After months of anticipation, Alibaba's Qwen team has finally unveiled Qwen2 – the next evolution of their powerful language model series. Qwen2 represents a significant leap forward, boasting cutting-edge advancements that could potentially position it as the best alternative to Meta's celebrated Llama 3 model. In this technical deep dive, we'll explore the key features, performance benchmarks, and innovative techniques that make Qwen2 a formidable contender in the realm of large language

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Pattern Program in Python

Analytics Vidhya

Introduction In this comprehensive guide, we’ll delve into the world of pattern programming using Python, a fundamental exercise for mastering nested loops and output formatting. This article covers a wide array of patterns, including basic star and number patterns, such as right triangles and pyramids, as well as more intricate designs like Pascal’s Triangle, spiral […] The post Pattern Program in Python appeared first on Analytics Vidhya.

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How AI Enhances Digital Forensics

Unite.AI

Digital forensics professionals can use artificial intelligence to accelerate and enhance their current processes, shrinking their investigation time and improving efficiency. However, while its impact is mostly positive, some issues do exist. Can AI replace forensics analysts? More importantly, would AI-driven findings even hold up in court? What Is Digital Forensic 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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Mastering Line Plots with Matplotlib

Analytics Vidhya

Introduction This post provides a thorough tutorial on using Matplotlib, a potent Python data visualization tool, to create and modify line plots. It covers setting up an environment, generating sample data, and constructing basic graphs. Additional modification methods covered in the guide include altering line styles, plotting multiple lines, adding markers, and adding annotations.

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Hallucination Control: Benefits and Risks of Deploying LLMs as Part of Security Processes

Unite.AI

Large Language Models (LLMs) trained on vast quantities of data can make security operations teams smarter. LLMs provide in-line suggestions and guidance on response, audits, posture management, and more. Most security teams are experimenting with or using LLMs to reduce manual toil in workflows. This can be both for mundane and complex tasks. For example, an LLM can query an employee via email if they meant to share a document that was proprietary and process the response with a recommendation

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HLOOKUP in Excel

Analytics Vidhya

Introduction Does it take you forever to find your lost sock? Do you also find it difficult to search for some particular data on an Excel sheet? While we may not be able to help you with the first, we definitely have an Excel function to help you with the second. Meet the HLOOKUP function! […] The post HLOOKUP in Excel appeared first on Analytics Vidhya.

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Benchmarking Federated Learning for Large Language Models with FedLLM-Bench

Marktechpost

Large language models (LLMs) have achieved remarkable success across various domains, but training them centrally requires massive data collection and annotation efforts, making it costly for individual parties. Federated learning (FL) has emerged as a promising solution, enabling collaborative training of LLMs on decentralized data while preserving privacy (FedLLM).

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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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Introducing AI/BI: Intelligent Analytics for Real-World Data

databricks

Today, we are excited to announce Databricks AI/BI , a new type of business intelligence product built from the ground up to deeply.

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Advancing Reliable Question Answering with the CRAG Benchmark

Marktechpost

Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), particularly in Question Answering (QA). However, hallucination remains a significant obstacle as LLMs may generate factually inaccurate or ungrounded responses. Studies reveal that even state-of-the-art models like GPT-4 struggle with accurately answering questions involving changing facts or less popular entities.

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Reimagining software development with the Amazon Q Developer Agent

AWS Machine Learning Blog

Amazon Q Developer is an AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it faster to build, secure, manage, and optimize applications on or off of AWS. The Amazon Q Developer Agent includes an agent for feature development that automatically implements multi-file features, bug fixes, and unit tests in your integrated development environment (IDE) workspace using natural language input.

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Enhancing Large-scale Parallel Training Efficiency with C4 by Alibaba

Marktechpost

The training of Large Language Models (LLMs) like GPT-3 and Llama on a large scale faces significant inefficiencies due to hardware failures and network congestion. These issues lead to substantial GPU resource waste and extended training durations. Specifically, hardware malfunctions cause interruptions in training, and network congestions force GPUs to wait for parameter synchronization, further delaying the training process.

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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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Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

AWS Machine Learning Blog

Starting with the AWS Neuron 2.18 release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. When a Neuron SDK is released, you’ll now be notified of the support for Neuron DLAMIs and Neuron DLCs in the Neuron SDK release notes, with a link to the AWS documentation containing the DLAMI and DLC release notes.

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Apple Intelligence: Leading the Way in On-Device AI with Advanced Fine-Tuned Models and Privacy

Marktechpost

Apple made a significant announcement, strongly advocating for on-device AI through its newly introduced Apple Intelligence. This innovative approach emphasizes the integration of a ~3 billion parameter language model (LLM) on devices like Mac, iPhone, and iPad, leveraging fine-tuned LoRA adapters to perform specialized tasks. This model claims to outperform larger models, such as the 7 billion and 3 billion parameter LLMs, marking a major step forward in on-device AI capabilities.

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Only 14% of Inhouse Lawyers ‘Never’ Use GenAI – Survey

Artificial Lawyer

A survey by Juro of 105 inhouse lawyers around the world has found that only 14.3%, (i.e. 15 of the 105), were ‘never’ using any GenAI tools at all.

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DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance

Marktechpost

Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method significantly increases memory and computation demands, especially with high-resolution photos or videos. Various techniques, like spatial grouping and token compression, aim to reduce the number of visual tokens but often compromise on detailed visual information.

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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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Answers: Generative AI as Learning Tool

O'Reilly Media

At O’Reilly, we’re not just building training materials about AI. We’re also using it to build new kinds of learning experiences. One of the ways we are putting AI to work is our update to Answers. Answers is a generative AI-powered feature that aims to answer questions in the flow of learning. It’s in every book, on-demand course, and video, and will eventually be available across our entire learning platform.

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Balancing AI Tools and Traditional Learning: Integrating Large Language Models in Programming Education

Marktechpost

Human-computer interaction (HCI) focuses on designing and using computer technology, particularly the interfaces between people (users) and computers. Researchers in this field observe how humans interact with computers & design technologies that let humans interact with computers in novel ways. HCI encompasses various areas, such as user experience design, ergonomics, and cognitive psychology, aiming to create intuitive and efficient interfaces that enhance user satisfaction and performance

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How Wiz is empowering organizations to remediate security risks faster with Amazon Bedrock

AWS Machine Learning Blog

Wiz is a cloud security platform that enables organizations to secure everything they build and run in the cloud by rapidly identifying and removing critical risks. Over 40% of the Fortune 100 trust Wiz’s purpose-built cloud security platform to gain full-stack visibility, accurate risk prioritization, and enhanced business agility. Organizations can connect Wiz in minutes to scan the entire cloud environment without agents and identify the issues representing real risk.

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Researchers at Stanford Introduce a Two-Step Framework for Linguistic Calibration of Long-Form Generations

Marktechpost

Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence, which is called hallucination. This confident misinformation has the potential to be very dangerous since it might persuade people to act based on erroneous assumptions, which could have negative consequences.

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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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Hanzo Offers Gigabyte Pricing for ‘Smaller LLMs’, ‘10X Cheaper’

Artificial Lawyer

eDiscovery company Hanzo is making its Spotlight AI technology generally available, which they claim ‘drastically lowers the cost’ of applying ‘smaller LLMs’ to enterprise legal.

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This AI Paper from Siemens Explores the Integration of the Graph Modality in LLM for General Graph Instruction Following Tasks

Marktechpost

Large Language Models (LLMs) have become an essential tool in artificial intelligence, primarily due to their generative capabilities and ability to follow user instructions effectively. These features make LLMs ideal for developing chatbots that interact seamlessly with users. However, the text-based nature of LLMs has limited chatbots to text-only interactions.

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Mitratech Buys Doc Auto Old-Timer HotDocs From CARET

Artificial Lawyer

HotDocs, which can trace its roots back to 1993 and helped pioneer the field of document automation, has been sold to Mitratech, the technology conglomerate.