Analytics Vidhya

JULY 18, 2024

Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

Data Science 348

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AI News

JULY 18, 2024

Meta has announced it will not be launching its upcoming multimodal AI model in the European Union due to regulatory concerns. This decision from Meta comes on the heels of Apple’s similar move to exclude the EU from its Apple Intelligence rollout, signalling a growing trend of tech giants hesitating to introduce advanced AI technologies in the region.

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Analytics Vidhya

JULY 18, 2024

Introduction Want to improve your knowledge of Python? Examine these seven best platforms to improve your coding skills. Whether your goal is to become an expert in algorithmic difficulties, software development, or data science, these resources can help you along the way with carefully chosen courses, practical projects, and active communities. With a range of […] The post 7 Best Platforms to Practice Python appeared first on Analytics Vidhya.

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Unite.AI

JULY 18, 2024

In a significant development, Meta has announced the suspension of its generative AI features in Brazil. This decision, revealed on July 18, 2024, comes in the wake of recent regulatory actions by Brazil's National Data Protection Authority (ANPD). There are growing tensions between technological innovation and data privacy concerns, particularly in emerging markets.

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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

Analytics Vidhya

JULY 18, 2024

Introduction Shell scripting is a fundamental skill that helps system administrators and developers to streamline tasks. It helps them effectively manage systems and handle files efficiently within a command-line environment. This skill is vital for technical interviews in the IT and development fields. So, here are some shell scripting interview questions, that will prepare you […] The post 30+ Shell Scripting Interview Questions appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 18, 2024

Introduction Think of SQL string functions as a Swiss Army knife for working with text in databases. They’re the go-to tools to slice, dice, clean up, or transform text data. Whether you’re a developer trying to make sense of messy user input or an analyst preparing data for a report, these functions have your back. […] The post Top 30 SQL String Functions with Usage and Syntax appeared first on Analytics Vidhya.

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Unite.AI

JULY 18, 2024

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. Differences in architecture, instruction sets, and capabilities can cause compatibility issues, performance gaps, and optimization headaches in diverse environments.

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Neural Network AI Modeling AI AI 162

Analytics Vidhya

JULY 18, 2024

Introduction MongoDB is a NoSQL database offering high performance and scalability. It stores data as documents, similar to JSON objects, allowing for complex structures like nested documents and arrays. This approach matches native data types in many programming languages. It also reduces the need for joins with embedded documents and arrays. Moreover, it supports dynamic […] The post 50+ MongoDB Interview Questions and Answers appeared first on Analytics Vidhya.

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IBM Journey to AI blog

JULY 18, 2024

Distributed computing is a process that uses numerous computing resources in different operating locations to mimic the processes of a single computer. Distributed computing assembles different computers, servers and computer networks to accomplish computing tasks of widely varying sizes and purposes. Distributed computing even works in the cloud. And while it’s true that distributed cloud computing and cloud computing are essentially the same in theory, in practice, they differ in their g

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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?

Business Intelligence

Analytics Vidhya

JULY 18, 2024

Introduction Imagine a world where AI-generated content is astonishingly accurate and incredibly reliable. Welcome to the forefront of artificial intelligence and natural language processing, where an exciting new approach is taking shape: the Chain of Verification (CoV). This revolutionary method in prompt engineering is set to transform our interactions with AI systems.

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AssemblyAI

JULY 18, 2024

You’re testing out a new Speech-to-Text API or speech recognition software. You upload your audio or video files, select your requirements, receive your transcription, and move on to the next step in your project. But what happens to the files you uploaded? Are the files protected? When considering a Speech-to-Text provider to work with, don’t assume all your data is safe.

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Analytics Vidhya

JULY 18, 2024

Introduction Imagine you could make your Python programs run much faster without much effort. That’s what caching can do for you. Think of python caching as a way to save the answers to hard problems so you don’t have to solve them again. By keeping these answers handy, your programs can skip the hard work […] The post What is Python Caching?

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Unite.AI

JULY 18, 2024

In a groundbreaking discovery, NTT Corporation has identified neural oscillation patterns that are closely linked to the outcomes of esports matches , achieving prediction accuracy of approximately 80%. This innovative research marks a significant advancement in understanding the brain's role in competitive performance and opens new avenues for individualized mental conditioning.

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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

AI

Analytics Vidhya

JULY 18, 2024

Introduction Imagine a world where coding becomes as seamless as conversing with a friend, where complex programming tasks are tackled with just a few prompts. This is not science fiction—this is CodeLlama, the revolutionary tool leveraging Meta’s Llama 2 model to transform the way we write and understand code. In this article, we’ll delve into […] The post Exploring Different Capabilities of CodeLlama appeared first on Analytics Vidhya.

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NVIDIA

JULY 18, 2024

Mistral AI and NVIDIA today released a new state-of-the-art language model, Mistral NeMo 12B, that developers can easily customize and deploy for enterprise applications supporting chatbots, multilingual tasks, coding and summarization. By combining Mistral AI’s expertise in training data with NVIDIA’s optimized hardware and software ecosystem, the Mistral NeMo model offers high performance for diverse applications. “We are fortunate to collaborate with the NVIDIA team, leveraging their to

AI Modeling 144

AI Modeling Large Language Models AI AI 144

IBM Journey to AI blog

JULY 18, 2024

It’s no secret that artificial intelligence (AI) transforms the way we work in financial planning and analysis (FP&A). It is already happening to a degree, but we could easily dream of many more things that AI could do for us. Most FP&A professionals are consumed with manual work that detracts from their ability to add value to their work.

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Marktechpost

JULY 18, 2024

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures. Extracting knowledge from such non-Euclidean data necessitates a broader mathematical perspective beyond the traditional Euclidean framework.

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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.

Business Intelligence

AWS Machine Learning Blog

JULY 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. To equip FMs with up-to-date and proprietary information, organizations use Retrieval Augmented Generation (RAG), a technique that fetches data from company data sources and enriches the prompt to provide more relevant and accurate responses.

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Marktechpost

JULY 18, 2024

Deepset and Mixedbread have taken a bold step toward addressing the imbalance in the AI landscape that predominantly favors English-speaking markets. They have introduced a groundbreaking open-source German/English embedding model, deepset-mxbai-embed-de-large-v1 , to enhance multilingual capabilities in natural language processing (NLP). This model is based on intfloat/multilingual-e5-large and has undergone fine-tuning on over 30 million pairs of German data, specifically tailored for retrieva

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AWS Machine Learning Blog

JULY 18, 2024

This post is co-written with Maciej Mensfeld from Mend.io. In the ever-evolving landscape of cybersecurity, the ability to effectively analyze and categorize Common Vulnerabilities and Exposures (CVEs) is crucial. This post explores how Mend.io , a cybersecurity firm, used Anthropic Claude on Amazon Bedrock to classify and identify CVEs containing specific attack requirements details.

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Marktechpost

JULY 18, 2024

Groq has recently released two innovative open-source models for tool use: Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use. These models are developed in collaboration with Glaive and designed to advance tool use and function-calling capabilities in AI. The Llama-3-Groq-70B-Tool-Use model is the highest-performing model on the Berkeley Function Calling Leaderboard (BFCL), outperforming all other open-source and proprietary models.

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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!

Towards AI

JULY 18, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, I have a very exciting announcement to make. I have partnered with O’Reilly to create two specific “shortcut” video series on LLMs and GenAI research. The first shortcut series on LLM techniques covers the latest approaches and techniques related to LLMs.

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Marktechpost

JULY 18, 2024

Sign language research aims to advance technology that improves the understanding, translation, and interpretation of sign languages used by Deaf and hard-of-hearing communities globally. This field involves creating extensive datasets, developing sophisticated machine-learning models, and enhancing tools for translation and identification in various applications.

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databricks

JULY 18, 2024

Discover how Databricks Lakehouse Monitoring empowers you to ensure reliable, accurate forecasts by proactively detecting data drift, model degradation, and more.

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Data Drift 104

Marktechpost

JULY 18, 2024

Traditional policy learning uses sampled trajectories from a replay buffer or behavior demonstrations to learn policies or trajectory models that map from state to action. This approach models a narrow behavior distribution. However, there is a challenge to guide high-dimensional output generation using low-dimensional demonstrations. Diffusion models have shown highly competitive performance on tasks like text-to-image synthesis.

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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.

Generative AI

Extreme Tech

JULY 18, 2024

The mostly transparent battery can reportedly stretch to 5,000% of its original length and withstand at least 67 charge cycles.

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Marktechpost

JULY 18, 2024

Large language models (LLMs) have revolutionized human-computer interaction but face challenges in complex real-world scenarios requiring extensive reasoning. LLM-based agents struggle with lengthy reasoning chains, leading to error propagation and reduced accuracy. Existing systems’ complexity hinders practical deployment and scalability. Also, long-context management poses a significant challenge, with a gap between claimed and effective context lengths LLMs can handle.

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Towards AI

JULY 18, 2024

Last Updated on July 19, 2024 by Editorial Team Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. A dilemma often presented in classification problems where the output is a number is determining the cutout point between the categories. For example, the output of a neural network might be a number between 0 and 1, let’s say 0.7, does that correspond to the positive (1) category or to the negative (0) category?

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