Tue.Oct 17, 2023

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Build a RAG Pipeline With the LLama Index

Analytics Vidhya

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.

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5 most useful AI translation tools – Diversify your business

Data Science Dojo

Imagine you’re trying to translate a menu from French to English, but you don’t know any French. You could use a traditional machine translation system, but these systems can sometimes be inaccurate and produce translations that are difficult to understand. A better approach would be to use a large language model (LLM) for translation. LLMs are trained on massive datasets of text and code, which allows them to learn the patterns of human language and generate translations that are mo

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ChatGPT vs. BARD

KDnuggets

Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

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Building and Validating Simple Stock Trading Algorithms Using Python

Analytics Vidhya

Introduction Algorithmic trading is a widely adopted trading strategy that has revolutionized the way people trade stocks. More and more people are making money on the side by investing in stocks and automating their trading strategies. This tutorial will teach you how to build stock trading algorithms using primitive technical indicators like MACD, SMA, EMA, […] The post Building and Validating Simple Stock Trading Algorithms Using Python appeared first on Analytics Vidhya.

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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?

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Unlocking Reliable Generations through Chain-of-Verification: A Leap in Prompt Engineering

KDnuggets

Explore the Chain-of-Verification prompt engineering method, an important step towards reducing hallucinations in large language models, ensuring reliable and factual AI responses.

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Key applications of computer vision in 2023

Data Science Dojo

Computer vision is a rapidly growing field with a wide range of applications. In recent years, there has been a significant increase in the development of computer vision technologies, and this trend is expected to continue in the coming years. As computer vision technology continues to develop, it has the potential to revolutionize many industries and aspects of our lives.

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2023’s leading mobile app development trends

Data Science Dojo

The mobile app development industry is in a state of continuous change. With smartphones becoming an extension of our lifestyle, most businesses are scrambling to woo potential customers via mobile apps as that is the only device that is always on our person – at work, at home, or even on a vacation. COVID-19 had us locked up in our homes for the better part of a year and the mobile started playing an even more important role in our daily lives – grocery haul, attending classes, play

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LLM Training on Unity Catalog data with MosaicML Streaming Dataset

databricks

Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.

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Leaked Microsoft pay guidelines unveil salary ranges by level

Dataconomy

The recently surfaced leaked Microsoft pay guidelines reveal intriguing insights about the tech giant’s compensation strategies for new recruits. This structured framework, which came to light earlier this year, delineates the boundaries on base salary, hiring incentives, and yearly stock grants. These guidelines serve as a pivotal reference for hiring managers, assisting them in finalizing competitive offers to prospective employees, as indicated by an individual closely acquainted with t

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Building a complete and composable CDP on the Lakehouse

databricks

Customer data is the lifeblood of modern organizations in every industry. As organizations level-up their data teams and practices with the Data Lakehouse.

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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.

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Unveiling the controversy surrounding the Welcome to Wrexham AI Photo

Dataconomy

Redditors have gone mad after the Welcome to Wrexham AI photo incident. Artificial intelligence has surely taken over the world, and even the biggest companies are using its benefits. Here is what you need to know! The popular docuseries ‘Welcome to Wrexham,’ which follows Ryan Reynolds and Rob McElhenney’s efforts to resurrect Wrexham AFC, has found itself in the heart of a controversy.

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Some Kick Ass Prompt Engineering Techniques to Boost our LLM Models

KDnuggets

And how to go beyond its basics.

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A 21-Year-Old Just Solved a 2000-Year-Old Mystery In 'World-Historical' Breakthrough

Flipboard

21-year-old Luke Farritor became the first person in millennia to read the text on an ancient scroll using machine learning.

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Fractional Factorial Experiment Design: There Are Too Many Experiments to Do

Hacker News

Have you ever found yourself in a situation where you had a bunch of parameters to tune for a better result, but there were just too many to exhaustively search all possibilities?

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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.

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What is a white-label solution for crypto exchange?

Dataconomy

Crypto exchanges have become central in the modern finance landscape, serving as the major face of the crypto industry. However, establishing a crypto trading platform can be daunting and costly. It requires practical experience, substantial financial resources, specialized knowledge, and a team of skilled crypto exchange developers. In our exploration of white-label solutions for crypto exchanges, we’ve come across [link] , an online trading platform that adds a unique dimension to the in

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Can New York's mayor speak Mandarin? No, but with AI he's making robocalls in different languages

Flipboard

ALBANY, N.Y. (AP) — New York City Mayor Eric Adams has been using artificial intelligence to make robocalls that contort his own voice into several languages he doesn’t actually speak, posing new ethical questions about the government’s use of the rapidly evolving technology.

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The good, the bad and the ugly of the cyber west

Dataconomy

Not all hackers are bad, especially white hat hackers. In the hackers’ world, the hat they wear changes their stance in cyberspace, their goals, their intentions, and how they interact with us. We all know very well that the Internet is not always a safe environment. Every day we come into contact with personalities with very different intentions on the World Wide Web without realizing it.

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Google Bard VS ChatGPT — Cool Infographics

Flipboard

Bard Vs ChatGPT infographic by Zealous System breaks down the specifics and differences between the two AI language models. ChatGPT, developed by OpenAI, is based on GPT-3.

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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.

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Best available Bitcoin documentaries for crypto users

Dataconomy

The story of Bitcoin and the suspense behind its success is not hidden from anyone. In the last decades, several documentary makers got inspired and started to make their own short stories about the most popular cryptocurrencies in the world. Although many of these are available on social media platforms such as YouTube, Facebook, Twitter, etc. Among all ko most popular documentaries are here to follow up!

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Will Artificial Intelligence Replace Architects?

Flipboard

Will Artificial Intelligence replace architects in their roles?

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How does the Stacks Layer-2 technology enhance the functionality of Bitcoin?

Dataconomy

The challenge of the blockchain trilemma remains a prominent issue within the cryptocurrency field, with even Bitcoin – renowned for its decentralization and security – facing this same predicament. Although Bitcoin has set the precedent for all crypto endeavors, its limited scalability renders the BTC blockchain unfeasible for Web3 applications.

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The Looming Skills Crisis: 49% of Workforce Skills to Vanish by 2025, Thanks To AI

Flipboard

A recent study published by edX , an online education platform, reveals that nearly half of the skills present in today’s workforce will become obsolete within just two years due to the rapid advancements in artificial intelligence (AI). Sourced from a survey of 800 executives and 800 employees, the data suggests that 49% of current skills won’t be relevant by 2025.

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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.

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Data warehouse architecture

Dataconomy

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming. However, with the right guidance, it’s possible to build an innovative data warehouse which stores all files correctly so they’re there when needed.

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How foundation models can help make steel and cement production more sustainable

IBM Journey to AI blog

Heavy industries, particularly cement, steel and chemicals, are the top greenhouse gas emitting industries, contributing 25% of global CO2 emission. They use high temperature heat in many of their processes that is primarily driven by fossil fuel. Fighting climate change requires lowering heavy industry emissions. However, these industries face tremendous challenges to reduce greenhouse gas emissions.

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What are some anticipated blockchain trends that are expected to dominate in 2023?

Dataconomy

Many companies have embraced blockchain technology due to its ability to provide a myriad of tools and technologies such as NFTs, metaverse, and cryptocurrencies. The security, enhanced privacy, and immutability that comes with blockchain has contributed to its adoption rate. Blockchain technology is witnessing various developments, such as the emergence of smart contracts, cryptocurrencies, and NFTs.

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Prompting Isn’t The Most Important Skill

O'Reilly Media

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. And that you could learn the basics in two hours. Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his case. But before discussing why, it’s important to think about what prompt engineering means.

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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.

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What are the industries adopting cryptocurrencies in 2023?

Dataconomy

Although they have existed for more than 12 years, cryptocurrency is still considered to be in its infancy. In recent years, a number of businesses, including the gaming, real estate, and travel sectors, have begun to use cryptocurrencies. This market is growing at a very fast pace making it more necessary to relocate and compulsion of this industry.

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Anomaly Detection for CRM Data: A Step-By-Step Guide

ODSC - Open Data Science

Editor’s note: Geeta Shankar and Tuli Nivas are speakers for ODSC West 2023 this October 30th to November 2nd. Be sure to check out their talk, “ Anomaly Detection for CRM Production Data ,” there! Anomaly detection for CRM (Customer Relationship Management) data is gaining increasing importance. It is crucial to monitor any unusual behavior in production data and proactively identify the root causes.

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What’s an easy way of making a decentralized application?

Dataconomy

Web 3.0 is transforming the way the world is connected through a cutting-edge network. The decentralization of communication, data transmission, and data processing brought about by the significant advancements of blockchain technology and cryptocurrencies are the driving forces behind it. Decentralized applications now operate through distributed computer networks.

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5 AI Tools in Website Builders That Can Save You Time and Money

Flipboard

Use AI to quickly create an online presence without hiring an expensive design team. We explain how.

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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.