Thu.Dec 21, 2023

article thumbnail

Microsoft Copilot and Suno Join Forces for AI-Generated Musical Magic

Analytics Vidhya

In a harmonious fusion of technology and creativity, Microsoft Copilot has embarked on a musical journey by partnering with Suno, an AI music creation platform. This collaboration introduces an exciting dimension to Copilot’s capabilities, allowing users to transform simple text prompts into personalized AI-composed songs. As we delve into this partnership, we uncover the steps […] The post Microsoft Copilot and Suno Join Forces for AI-Generated Musical Magic appeared first on Analyt

AI 294
article thumbnail

Integrating NVIDIA TensorRT-LLM with the Databricks Inference Stack

databricks

Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs. In this post, we're highlighting some key areas where our collaboration with NVIDIA has been particularly important.

Python 283
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Comprehensive Guide to Python’s Tabulate Library

Analytics Vidhya

Introduction In the world of data processing and analysis, the way information is presented can be just as crucial as the data itself. Python’s Tabulate library serves as a powerful tool for creating visually appealing and well-formatted tables. This comprehensive guide will walk you through everything you need to know to master Tabulate and effectively […] The post Comprehensive Guide to Python’s Tabulate Library appeared first on Analytics Vidhya.

Python 289
article thumbnail

Databricks Named a Leader in 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems

databricks

We are excited to announce that Gartner has recognized Databricks as a Leader for a third consecutive year in the 2023 Gartner® Magic.

Database 326
article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

Top 7 Platforms to Practice SQL in 2024

Analytics Vidhya

Introduction SQL remains the cornerstone of data manipulation and analysis in the digital age. Whether you’re a budding data analyst, a seasoned database administrator, or a developer looking to refine your querying abilities, practicing SQL is pivotal. But where does one turn to refine their SQL skills? Fear not, for we’ve scoured the web to […] The post Top 7 Platforms to Practice SQL in 2024 appeared first on Analytics Vidhya.

SQL 283
article thumbnail

Phi-2: Microsoft’ small language model with 2.7 billion parameters

Data Science Dojo

Have you heard about Microsoft’s latest tech marvel in the AI world? It’s called Phi-2, a nifty little language model that’s stirring up quite the excitement. Despite its compact size of 2.7 billion parameters, this little dynamo is an upgrade from its predecessor, Phi-1.5. What’s cool is that it’s all set and ready for you to explore in the Azure AI Studio model catalogue.

More Trending

article thumbnail

Introducing Mixtral 8x7B with Databricks Model Serving

databricks

Today, Databricks is excited to announce support for Mixtral 8x7B in Model Serving. Mixtral 8x7B is a sparse Mixture of Experts (MoE) open.

298
298
article thumbnail

Financial Crime, Content Creation, and AI Trends with Danny Butvinik

Analytics Vidhya

In this episode of Leading with Data, Danny Butvinik, Chief Data Scientist at NICE Actimize, takes us from his early fascination with math and chess to groundbreaking advancements in financial crime detection. Butvinik shares insights into unbiased AI models, the potential of quantum computing, and the joy of knowledge-sharing. Join us as we uncover the […] The post Financial Crime, Content Creation, and AI Trends with Danny Butvinik appeared first on Analytics Vidhya.

article thumbnail

Easily Integrate LLMs into Your Scikit-learn Workflow with Scikit-LLM

KDnuggets

LLM is a powerful model that could improve our text analysis. With Scikit-LLM, we could integrate the LLM easily into our ML pipeline.

ML 297
article thumbnail

Supercharge Your DataFrames: Mastering Row Appending in Pandas

Analytics Vidhya

Introduction Efficiency is paramount in the dynamic realm of data science, where the swift and effective processing and analysis of substantial datasets are pivotal. Pandas emerged as the Python library synonymous with data manipulation and offers various ways to append rows to your DataFrame. But with multiple append methods in Pandas, how do you choose […] The post Supercharge Your DataFrames: Mastering Row Appending in Pandas appeared first on Analytics Vidhya.

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

Evaluating Methods for Calculating Document Similarity

KDnuggets

The blog covers methods for representing documents as vectors and computing similarity, such as Jaccard similarity, Euclidean distance, cosine similarity, and cosine similarity with TF-IDF, along with pre-processing steps for text data, such as tokenization, lowercasing, removing punctuation, removing stop words, and lemmatization.

article thumbnail

What is Google’s New Policy for the Upcoming 2024 Elections?

Analytics Vidhya

As the world braces for the pivotal 2024 elections, tech giant Google has unveiled its proactive strategy to counter misinformation using generative AI. Acknowledging past challenges faced by big tech companies in combating false narratives during elections, Google aims to enhance transparency and curb misinformation, particularly focusing on the upcoming U.S. presidential election.

Analytics 279
article thumbnail

NEW Survey: Orgs are Ready for More GenAI, but Ill-equipped

insideBIGDATA

83% of organizations are in the exploration or experimentation phase of their GenAI journey, but implementation and risk management challenges stand in the way of expansion. This is according to a new Dataiku and Forrester survey of AI decision-makers: "Accelerate Generative AI Applications With Platform Capabilities.

AI 221
article thumbnail

Sklearn Impute for Effective Missing Data Handling in Machine Learning

Analytics Vidhya

Introduction Missing data is a common challenge in machine learning and data analysis. Handling it is crucial in data preprocessing for building accurate and reliable models. It can lead to biased results and inaccurate predictions if not correctly addressed. Scikit Learn is a savior if you face these issues very often. Sklearn impute is a […] The post Sklearn Impute for Effective Missing Data Handling in Machine Learning appeared first on Analytics Vidhya.

article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

insideBIGDATA AI News Briefs Bulletin Board

insideBIGDATA

Welcome insideBIGDATA AI News Briefs Bulletin Board, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies.

article thumbnail

Locally Linear Embedding Demystifies High-Dimensional Data

Analytics Vidhya

Introduction In the world of machine learning, the curse of dimensionality is a formidable foe. High-dimensional datasets can be complex and unwieldy, obscuring the underlying patterns we seek to discover. Enter Locally Linear Embedding (LLE), a powerful technique that peels back the layers of complexity to reveal the simpler structure beneath. This post takes you […] The post Locally Linear Embedding Demystifies High-Dimensional Data appeared first on Analytics Vidhya.

article thumbnail

Data science and project management methodologies: What you need to know

Dataconomy

One of the most significant challenges present in project management is the variety of ways that a project can be managed and handled. With different teams, it may be necessary to adopt several different methodologies to get the most efficient outcome for your team. When contemporary businesses are increasingly driven by data, project managers must understand how the intersection between team members, data, and strategies can come together.

article thumbnail

India’s AI Leap ?? : 6 LLMs that are Built in India

Analytics Vidhya

Introduction In the world of big-league tech, where giant global players usually lead the AI race, India is making some exciting moves of its own. A whole new world of Indian-made Large Language Models (LLMs) and AI tools is starting to shine, each with its own special flair. We’re here to put these local heroes […] The post India’s AI Leap ??

AI 265
article thumbnail

Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

article thumbnail

Tolkien Estate Wins Court Order to Destroy Fan's 'Lord of the Rings' Sequel

Hacker News

Ruling that the fan’s unauthorized book violated copyright protections, a judge barred him from distributing it and ordered him to destroy all electronic and physical copies of it.

181
181
article thumbnail

Unveiling 3 Powerful Techniques with Merge Pandas

Analytics Vidhya

Introduction The Pandas Library is a powerful tool in the data analysis ecosystem; it provides a wide range of functions that transform raw data into insightful revelations. With its robust capabilities, merge Pandas is the linchpin for data scientists and analysts, offering an intuitive and efficient data manipulation, cleaning, and exploration framework.

article thumbnail

Find out who owns a nursing home with our Nursing Home Inspect tool

Hacker News

It can be hard to determine who is ultimately responsible for the quality of care in a nursing home. ProPublica’s Nursing Home Inspect tool now has detailed information on who owns a facility and who is responsible for running it.

182
182
article thumbnail

The Deep Learning Revolution in Facial Recognition for Secure Login Systems

Analytics Vidhya

Introduction In today’s online world, having strong security measures is more important than ever. Traditional ways of logging in, like using a username and password, are not always secure enough. This has led to more cases of hacking and identity theft. As a result, there’s a big push to find better ways to check who’s […] The post The Deep Learning Revolution in Facial Recognition for Secure Login Systems appeared first on Analytics Vidhya.

article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

When Analytics Should Drive Sales Decisions — and When They Shouldn’t

Flipboard

As AI proliferates, companies are using it to offer data-driven recommendations on a wide range of activities, from whom to hire to what product a salesperson should recommend to customers. How much to rely on these data-driven recommendations should hinge on two questions: How high are the decision stakes? And how reliable is the data-driven insight?

Analytics 181
article thumbnail

Implementing Diffusion Models for Creative AI Art Generation

Analytics Vidhya

Introduction The amalgamation of artificial intelligence (AI) and artistry unveils new avenues in creative digital art, prominently through diffusion models. These models stand out in the creative AI art generation, offering a distinct approach from conventional neural networks. This article takes you on an explorative journey into the depths of diffusion models, elucidating their unique […] The post Implementing Diffusion Models for Creative AI Art Generation appeared first on Analytics V

article thumbnail

When will you die? Meet the 'doom calculator,' an artificial intelligence algorithm

Flipboard

Danish researchers created the life2vec machine-learning computer model, which was able to correctly predict the deaths of millions of people Would you want to know when you will die? Science could be getting closer to perhaps giving you that option. The latest advance?

article thumbnail

MidJourney v6 Is Here to Revolutionize AI Image Generation

Analytics Vidhya

In a recent development, the AI image generator MidJourney has unveiled its latest iteration, MidJourney v6, showcasing significant advancements in photorealism and image generation capabilities. This time, MidJourney took an unconventional approach by involving its user base in a pre-release testing phase. This article will explore the user-driven testing initiative, shedding light on how the […] The post MidJourney v6 Is Here to Revolutionize AI Image Generation appeared first on Analyti

AI 237
article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

article thumbnail

Cancer-fighting CAR-T cells could be made inside body with viral injection

Hacker News

Scientists are devising ways to edit the genomes of immune cells without having to extract them from those being treated. Scientists are devising ways to edit the genomes of immune cells without having to extract them from those being treated.

181
181
article thumbnail

Control digital voice speech and pitch rate using the Watson Text to Speech (TTS) library

IBM Data Science in Practice

Many consumers prefer to listen to digital text rather than read it in today’s digital environment, and Text-to-speech (TTS) technology can help you turn digital text into audio. IBM Watson Text to Speech is a service that converts text into natural-sounding speech in a range of languages , dialects, and voices using speech synthesis capabilities. This service also includes a number of settings for modifying the characteristics of speech synthesis such as speech rate and voice pitch.

article thumbnail

The Year in Computer Science

Hacker News

Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems.

article thumbnail

How Not to Be Stupid About AI, With Yann LeCun

Flipboard

It’ll take over the world. It won’t subjugate humans. For Meta’s chief AI scientist, both things are true. Do not preach doom to Yann LeCun.

AI 182
article thumbnail

How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.