Analytics Vidhya

JULY 8, 2024

Introduction Google’s Gemma family of language models, renowned for their efficiency and performance, has recently welcomed Gemma 2. This latest iteration introduces two models: a 27 billion parameter version that matches the performance of larger models like Llama 3 70B with significantly lower processing requirements, and a 9 billion parameter version that surpasses the Llama […] The post Gemma 2: Successor to Google Gemma Family of Large Language Models appeared first on Analytics

Large Language Models 274

Large Language Models Generative AI Python Machine Learning 274

Unite.AI

JULY 8, 2024

The quest for efficiency and speed remains vital in software development. Every saved byte and optimized millisecond can significantly enhance user experience and operational efficiency. As artificial intelligence continues to advance, its ability to generate highly optimized code not only promises greater efficiency but also challenges traditional software development methods.

LLM 200

LLM Large Language Models Software Development Software Engineer 200

Analytics Vidhya

JULY 8, 2024

Introduction Prompt engineering is key to dealing with large language models (LLMs) such as GPT-4. “Temperature,” one of the most important prompt engineering parameters, greatly impacts the model’s behavior and output. This article examines the idea of temperature in prompt engineering, defines it, outlines its operation, and provides practical advice on utilizing it to modify […] The post What is Temperature in Prompt Engineering?

Prompt Engineer 270

Prompt Engineer Prompt Engineering Large Language Models Python 270

IBM Journey to AI blog

JULY 8, 2024

In the late 19th century, manufacturing facilities began adopting electrification as a way to generate cost savings. Now, more than two centuries later, there’s a renaissance in the electrification of industry: from shipping terminals in New Jersey to steel production in New Zealand, industrial operations are turning to electrification more than ever before.

ESG 203

ESG 203

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.

AI

Analytics Vidhya

JULY 8, 2024

Introduction Innovation and creativity frequently cross paths in programming languages in surprising ways. One such instance is the computer language Rajini++, which drew inspiration from the well-known lines of South Indian movie star Rajinikanth. Aadhithya Sankar’s playful and distinctive esoteric programming language Rajini++ (or Rajinipp) is a tribute to the iconic actor.

Python 256

Python 256

Analytics Vidhya

JULY 8, 2024

Introduction Biological neurons are pivotal in artificial neural network research, mirroring the intricate structures responsible for brain functions. Soma, axons, dendrites, and synapses are part of neurons that help process information. McCulloch-Pitts Neuron is an early computational model that simulates the basic operations of these biological units.

Neural Network 252

Neural Network Generative AI Artificial Intelligence Artificial Intelligence 252

AssemblyAI

JULY 8, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Use Large Language Models With Voice Data Get more from your voice data with our new guides on using Large Language Models (LLMs) with  LeMUR. Learn how to ask questions, summarize, extract, and generate content from your audio data: Ask questions about your audio data : Learn how to use LeMUR to ask questions and get insightful answers about your audio da

LLM 146

LLM Large Language Models Metadata Python 146

Analytics Vidhya

JULY 8, 2024

Introduction Managing data transactions is an important skill to have while working with databases. Tools like Structured Query Language (SQL) help you do this efficiently. It offers an array of built-in commands that can handle transactions, ensuring data integrity and consistency. Two most commonly used commands in this context are COMMIT and ROLLBACK.

Data Integration 250

Data Integration 250

AssemblyAI

JULY 8, 2024

Subtitles are vital for enhancing the accessibility of an application. Users who have difficulty understanding the language of a video rely on subtitles to help them understand and grasp the contents of the video. Typically, creating subtitles for videos requires tedious manual work to carefully transcribe each and every word while also keeping track of the timeline.

Auto-complete 146

Auto-complete Metadata Chatbots 146

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.

LLM

Analytics Vidhya

JULY 8, 2024

Introduction Python IDLE is a very helpful tool which helps to develop, debug and run Python code easily. It is useful for programmers of all experience levels due to an interactive shell, syntax highlighting, auto-completion, and an integrated debugger. This article includes the general description of functionality, setup, and real-life implementation of the described concept. […] The post What is Python IDLE?

Python 215

Python Auto-complete 215

Unite.AI

JULY 8, 2024

Brandon Anderson is the Chief Product Officer at Zingtree responsible for product vision and strategy, user experience, and delivering superior solutions and value to our customers. Brandon has 20 years experience in Product across a number of companies. Prior to Zingtree, Brandon led Product, User Experience and Analytics at SportsEngine, a B2B and B2B2C SaaS company which was acquired by NBC Sports in 2016.

Automation 130

Automation Chatbots Algorithm Large Language Models 130

Analytics Vidhya

JULY 8, 2024

Introduction Have you ever wondered how some AI systems seem to pull up just the right information and weave it into their answers as if they were chatting with an expert? That’s the magic of the Retrieval-Augmented Generation (RAG). RAG represents a powerful advancement in natural language processing, effectively merging the strengths of generative and […] The post Graph RAG: Enhancing Retrieval-Augmented Generation with Graph Structures appeared first on Analytics Vidhya.

Natural Language Processing 226

Natural Language Processing AI AI Generative AI 226

IBM Journey to AI blog

JULY 8, 2024

As your business evolves to meet future goals, it becomes essential to use a flexible, composable order management system (OMS) that enables you to modernize your application stack and grow at your own pace. An IBM IBV study shows 85% of executives agree that modernizing applications and data is key to their business strategy. However, only 27% say that their organization has modernized many necessary workflows, including applications, data and systems.

Generative AI 130

Generative AI AI AI 130

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.

Analytics Vidhya

JULY 8, 2024

Introduction Power BI is a freely available tool from Microsoft for business analytics. It helps you visualize data and seamlessly share the insights from it with stakeholders. Whether you’re a data scientist, an analyst, or a business user, Power BI is a must-know tool that can make your work a lot easier. It allows you […] The post How to Install Power BI Desktop appeared first on Analytics Vidhya.

Data Scientist 205

Data Scientist Data Analysis 205

Marktechpost

JULY 8, 2024

Multilingual natural language processing (NLP) is a rapidly advancing field that aims to develop language models capable of understanding & generating text in multiple languages. These models facilitate effective communication and information access across diverse linguistic backgrounds. This field’s importance lies in its potential to bridge the gap between different language speakers, making technological advancements in AI accessible globally.

Data Scarcity 132

Data Scarcity Large Language Models Natural Language Processing AI 132

Analytics Vidhya

JULY 8, 2024

Introduction Meta AI (formerly Facebook AI) has introduced a revolutionary AI model called SAM (Segment Anything Model), representing a significant leap forward in computer vision and image segmentation technology. This article explores SAM’s features, capabilities, potential applications, and implications for various industries. Overview What is SAM?

Computer Vision 189

Computer Vision AI Modeling AI AI 189

databricks

JULY 8, 2024

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

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AI

Marktechpost

JULY 8, 2024

Large language models (LLMs) have demonstrated remarkable performance across various tasks, with reasoning capabilities being a crucial aspect of their development. However, the key elements driving these improvements remain unclear. Currently, the primary approaches to enhance reasoning involve increasing model size and expanding context length through techniques like chain of thought, retrieval augmented generation, and example-based prompting.

Large Language Models 126

Large Language Models AI Researcher AI Research LLM 126

databricks

JULY 8, 2024

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

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Marktechpost

JULY 8, 2024

In a recent study by Innodata , various large language models (LLMs) such as Llama2, Mistral, Gemma, and GPT were benchmarked for their performance in factuality, toxicity, bias, and propensity for hallucinations. The research introduced fourteen novel datasets designed to evaluate the safety of these models, focusing on their ability to produce factual, unbiased, and appropriate content.

Large Language Models 126

Large Language Models OpenAI LLM ML 126

Towards AI

JULY 8, 2024

Last Updated on July 8, 2024 by Editorial Team Author(s): Aditya Mohan Originally published on Towards AI. Photo by Google DeepMind on Unsplash Heterogeneous computing refers to machines with more than one “kind” of computing “core”. The computing cores can be CPUs, GPUs, TPUs, and many other accelerators that are being developed every day. These specialized “cores” can also be called ASIC an abbreviation for “Application-Specific Integrated Circuit”.

Deep Learning 115

Deep Learning Neural Network AI AI 115

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.

AI

Marktechpost

JULY 8, 2024

Large Language Models (LLMs) with parametric memory of rules and knowledge have shown limitations in implicit reasoning. Research has shown that these models, even more complex ones like GPT-4, have trouble applying and integrating internalized facts reliably. For instance, even when they are aware of the entities in question, they frequently make inaccurate comparisons of their properties.

AI Researcher 126

AI Researcher AI Research Large Language Models Deep Learning 126

Towards AI

JULY 8, 2024

Last Updated on July 8, 2024 by Editorial Team Author(s): Hesam Sheikh Originally published on Towards AI. study any concept in four easy steps, by applying AI and a Noble Prize winner approachImage created by GPT-4o. When was the last time you stumbled upon a difficult subject to learn? Or when you spent an hour watching YouTube videos on how to better learn things?

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence AI AI 110

Marktechpost

JULY 8, 2024

The ever-evolving nature of quantum computing renders managing tasks with the traditional heuristic approach very tricky. These models often struggle with adapting to the changes and complexities of quantum computing while maintaining the system efficiency. Scheduling tasks is crucial for such systems to reduce time wastage and resource management. Existing models are liable to place tasks on unsuitable quantum computers, requiring frequent rescheduling due to mismatched resources.

ML 126

ML Artificial Intelligence Artificial Intelligence Machine Learning 126

AWS Machine Learning Blog

JULY 8, 2024

Eviden is a next-gen technology leader in data-driven, trusted, and sustainable digital transformation. With a strong portfolio of patented technologies and worldwide leading positions in advanced computing, security, AI, cloud, and digital platforms, Eviden provides deep expertise for a multitude of industries in more than 47 countries. Eviden is an AWS Premier partner , bringing together 47,000 world-class talents and expanding the possibilities of data and technology across the digital contin

Machine Learning 106

Machine Learning Python ML AI 106

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Generative AI

Marktechpost

JULY 8, 2024

Formal verification is crucial in software engineering to ensure program correctness through mathematical proof. One widely used technique for this purpose is bounded model checking (BMC), which involves verifying the correctness of a program within specified bounds. Python, a programming language favored for its simplicity and extensive libraries, particularly in fields like web development, image processing, and artificial intelligence, presents unique challenges for formal verification.

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Python Software Engineer Artificial Intelligence Artificial Intelligence 124

SAS Software

JULY 8, 2024

En el dinámico mundo de los pagos, donde la comodidad y la rapidez son la norma, el fraude ha evolucionado a la par. Los delincuentes utilizan tecnologías avanzadas para preparar estafas, poniendo en riesgo la seguridad financiera de millones de usuarios. Para enfrentar este desafío, la industria financiera está recurriendo [.] The post Cinco tendencias en el uso de la IA en pagos digitales appeared first on SAS Blogs.

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Marktechpost

JULY 8, 2024

The ability to automate and assist in coding has the potential to transform software development, making it faster and more efficient. However, ensuring these models produce helpful and secure code is the challenge. The intricate balance between functionality and safety is critical, especially when the generated code could be exploited maliciously. In practical applications, LLMs often encounter difficulties when dealing with ambiguous or malicious instructions.

Software Development 119

Software Development Responsible AI AI AI 119