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 289

Large Language Models Generative AI Python Machine Learning 289

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 299

Prompt Engineer Prompt Engineering Large Language Models Python 299

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: 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 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 281

Python 281

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 278

Neural Network Generative AI Artificial Intelligence Artificial Intelligence 278

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 147

Auto-complete Metadata Chatbots 147

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 280

Data Integration 280

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

Advertisement

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 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 245

Python Auto-complete 245

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

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 241

Natural Language Processing AI AI Generative AI 241

IBM Journey to AI blog

JULY 8, 2024

The concept of a Software Bill of Materials (SBOM) was originally focused on supply chain security or supply chain risk management. The idea was that if you know how all the different tools and components of your application are connected, you can minimize the risk associated with any component if it becomes compromised. SBOMs have become a staple of most security teams because they offer a quick way to trace the “blast radius” of a compromised piece of an application.

Automation 113

Automation AI AI 113

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 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 220

Data Scientist Data Analysis 220

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 NLP 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 211

Computer Vision AI Modeling AI AI 211

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.

134

134

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

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 Research AI Researcher LLM 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 123

Machine Learning Python ML AI 123

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

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.

123

123

Advertisement

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!

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 Research 126

AI Research AI Researcher Large Language Models Deep Learning 126

AWS Machine Learning Blog

JULY 8, 2024

Stable Diffusion XL by Stability AI is a high-quality text-to-image deep learning model that allows you to generate professional-looking images in various styles. Managed versions of Stable Diffusion XL are already available to you on Amazon SageMaker JumpStart (see Use Stable Diffusion XL with Amazon SageMaker JumpStart in Amazon SageMaker Studio ) and Amazon Bedrock (see Stable Diffusion XL in Amazon Bedrock ), allowing you to produce creative content in minutes.

Automation 121

Automation ML DevOps Software Engineer 121

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 123

ML Artificial Intelligence Artificial Intelligence Machine Learning 123

Artificial Lawyer

JULY 8, 2024

Legal tech startup Paxton AI, which focuses on contract drafting, review and research, has launched ‘Citator’, a now patent-pending feature that checks the standing and.

AI 117

AI AI 117

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

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.

Python 122

Python Software Engineer Artificial Intelligence Artificial Intelligence 122

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.

105

105

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