Unite.AI

JULY 4, 2024

Gemma 2 builds upon its predecessor, offering enhanced performance and efficiency, along with a suite of innovative features that make it particularly appealing for both research and practical applications. What sets Gemma 2 apart is its ability to deliver performance comparable to much larger proprietary models, but in a package that's designed for broader accessibility and use on more modest hardware setups.

Large Language Models 312

Large Language Models LLM Natural Language Processing Explainability 312

Analytics Vidhya

JULY 4, 2024

Introduction In relational databases, retaining information security and integrity is paramount. SQL’s Data Control Language (DCL) empowers you with the essential tools to control user privileges, ensuring only specific people can access and control database items. Two crucial DCL commands, GRANT and REVOKE, form the bedrock of this permission management system.

Data Science 278

Data Science 278

AI News

JULY 4, 2024

Nvidia recently overtook Microsoft as the world’s most valuable company and is now in the crosshairs of French antitrust regulators. The French authority is preparing to charge Nvidia with anti-competitive practices as part of the EU’s commitment to maintaining checks and balances within the industry. This development underscores the EU’s resolve to ensure fair competition and prevent market dominance from stifling innovation and consumer choice.

Big Data 252

Big Data Machine Learning Automation AI 252

Analytics Vidhya

JULY 4, 2024

Introduction If you are a data scientist or analyst, data formatting in SQL is a crucial skill to know. It helps you present your data in a more readable and user-friendly manner, making it easy for stakeholders to understand. The FORMAT() function in the SQL server helps you customize the appearance of dates, times, numbers, […] The post What is FORMAT() Function in SQL?

Data Scientist 278

Data Scientist 278

Speaker: Jay Allardyce

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

AI Weekly

JULY 4, 2024

Powered by cloudfront.net In the News Top Artificial Intelligence AI Books to Read in 2024 AI has been making significant strides over the past few years, with the emergence of LLMs marking a major milestone in its growth. marktechpost.com Sponsor Discover what the most trusted industry experts are reading Use the Power of AI to access a forward-thinking audience of professional decision makers !

Artificial Intelligence 190

Artificial Intelligence Artificial Intelligence Robotics Deep Learning 190

Unite.AI

JULY 4, 2024

University of Maryland computer scientists have developed an innovative camera system that could revolutionize how robots perceive and interact with their environment. This technology, inspired by the human eye's involuntary movements, aims to improve the clarity and stability of robotic vision. The research team, led by PhD student Botao He, detailed their findings in a paper published in the journal Science Robotics.

Robotics 195

Robotics Computer Scientist Computer Vision Machine Learning 195

Analytics Vidhya

JULY 4, 2024

Introduction This article contains a comprehensive set of DBMS interview questions to help with interview preparation for any position related to DBMS. It covers fundamental concepts like DBMS and RDBMS, normalization, and ACID features in addition to more advanced topics like indexing, transactions, joins, and SQL queries. The article also discusses database managers’ duties and […] The post Top 40 DBMS Interview Questions and Answers appeared first on Analytics Vidhya.

Data Analysis 260

Data Analysis 260

Artificial Lawyer

JULY 4, 2024

CompetitionAI is a legal tech startup that was launched in November 2023 as ‘ChatGPT for competition lawyers’. It’s the brainchild of Daniel Schwarz, a competition.

ChatGPT 103

ChatGPT 103

Analytics Vidhya

JULY 4, 2024

In this Leading with Data Episode, we have with us Dr. Kirk Borne, a top global influencer, data scientist, astrophysicist, and TEDx speaker. He is a thought leader in big data, AI, machine learning, and more, and is an elected Fellow of the American Astronomical Society. We’ll explore his views on AI evolution, technology hype […] The post The Next Wave of GenAI: Perspectives with Dr.

Big Data 248

Big Data Data Scientist Machine Learning AI 248

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 4, 2024

Large language models (LLMs) have gained significant attention for their ability to store vast amounts of factual knowledge within their weights during pretraining. This capability has led to promising results in knowledge-intensive tasks, particularly factual question-answering. However, a critical challenge persists: LLMs often generate plausible but incorrect responses to queries, undermining their reliability.

LLM 104

LLM Large Language Models Machine Learning ML 104

Towards AI

JULY 4, 2024

Last Updated on July 4, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Fourth Week of June 2024.

Large Language Models 66

Large Language Models LLM Data Science Machine Learning 66

Marktechpost

JULY 4, 2024

At the moment, many subfields of computer vision are dominated by large-scale vision models. Newly developed state-of-the-art models for tasks such as semantic segmentation, object detection, and image classification exceed today’s hardware capabilities. These models have stunning performance, but the hefty computational costs mean they are rarely employed in real-world applications.

Computer Vision 106

Computer Vision ML Artificial Intelligence Artificial Intelligence 106

Artificial Corner

JULY 4, 2024

As a Mac user, I like to download apps that are not only for entertainment, productivity, or video editing but also apps that make my life easier when writing code. There are some apps I have that I never close, no matter how many windows are already opened, because I know I’ll need them sooner or later. In this article, I’ll share 5 apps that I use on a daily basis when writing code.

Python 84

Python Software Development Automation 84

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

Artificial Lawyer

JULY 4, 2024

John Scrudato, the recently hired Director of Artificial Intelligence and Innovation at Latham & Watkins, has been busy in his spare time and created OpenContracts,

AI Tools 109

AI Tools Artificial Intelligence Artificial Intelligence AI 109

Towards AI

JULY 4, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week we are diving into some interesting discussions on transformers, BERT, and RAG, along with some interesting collaboration opportunities for building a bot, a productivity app, and more. What’s AI Weekly This week in What’s AI, I dive into how multimodal models actually work.

BERT 58

BERT Large Language Models LLM Deep Learning 58

Artificial Lawyer

JULY 4, 2024

By William Dougherty. Warning: this article contains a series of extended football (soccer) analogies. You can’t avoid it. From the moment managers announced their 26-man.

93

93

The MLOps Blog

JULY 4, 2024

TL;DR Vector databases play a key role in Retrieval-Augmented Generation (RAG) systems. They enable efficient context retrieval or dynamic few-shot prompting to improve the factual accuracy of LLM-generated responses. When implementing a RAG system, start with a simple Naive RAG and iteratively improve the system: Refine the contextual information available to the LLM using multi-modal models to extract information from documents, optimize the chunk size, and pre-process chunks to filter out irr

LLM 64

LLM Large Language Models Machine Learning Explainability 64

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

SAS Software

JULY 4, 2024

Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA 47% de las aseguradoras no han podido integrarse a la IA debido a la calidad de los datos que recaban En México y LATAM el 40% de las aseguradoras han iniciado la integración de herramientas [.] The post Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA appeared first on SAS Blogs.

52

52

TheSequence

JULY 4, 2024

Created Using Ideogram Imagine the following scenarios in an LLM application: Client A sends requests averaging 4k tokens each. Client B sends requests averaging 200 tokens each. Should the requests from both clients follow be served by the same LLM resources. The answer seems obviously no as the second client requires much less resources than the first client.

LLM 52

LLM 52

SAS Software

JULY 4, 2024

Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA 47% de las aseguradoras no han podido integrarse a la IA debido a la calidad de los datos que recaban En México y LATAM el 40% de las aseguradoras han iniciado la integración de herramientas [.] The post Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA appeared first on SAS Blogs.

52

52

AI News

JULY 4, 2024

Have you heard about Language Processing Units (LPUs) yet? If you haven’t, prepare to be wowed! LPUs are specialised processors engineered specifically for language-related tasks. They differ from other processors that handle multiple tasks simultaneously. The LPU combines the best of the Central Processing Unit (CPU) – great at sequential tasks, and the Graphic Processing Unit (GPU) – great at concurrent tasks.

AI 293

AI AI Robotics AI Developer 293

Advertisement

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

Unite.AI

JULY 4, 2024

Google has unveiled Gemma 2 , the latest iteration of its open-source lightweight language models, available in 9 billion (9B) and 27 billion (27B) parameter sizes. This new version promises enhanced performance and faster inference compared to its predecessor, the Gemma model. Gemma 2, derived from Google’s Gemini models , is designed to be more accessible for researchers and developers, offering substantial improvements in speed and efficiency.

AI 195

AI AI Chatbots LLM 195

Marktechpost

JULY 4, 2024

Introduction to Overfitting and Dropout: Overfitting is a common challenge when training large neural networks on limited data. It occurs when a model performs exceptionally well on training data but fails to generalize to unseen test data. This problem arises because the network’s feature detectors become too specialized for the training data, developing complex dependencies that do not translate to the broader dataset.

Neural Network 109

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 109

AI News

JULY 4, 2024

Over the years, the video games industry has become one of the biggest and most influential mediums in the entertainment segment. Despite the myriad of games available on the market, from expensive AAA titles to casual games, millions of gamers are brimming with innovative ideas and dream of creating their own unique gaming experiences that studios often overlook.

AI 273

AI AI AI Engineer AI Modeling 273

Marktechpost

JULY 4, 2024

Self-supervised learning (SSL) has expanded the reach of speech technologies to many languages by minimizing the need for labeled data. However, current models only support 100-150 of the world’s 7,000+ languages. This limitation is largely due to the scarcity of transcribed speech, as only about half of these languages have formal writing systems, and even fewer have the resources to generate the extensive annotated data needed for training.

BERT 130

BERT Neural Network ML Large Language Models 130

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Bugra Akyildiz

JULY 4, 2024

Articles Ada LoveLace Institute wrote a blog post on Generative AI(GenAI) Applications and their deployment/monitoring in a very long post. It talks about various options and needs to deployment and monitoring themes for GenAI applications. Some of the solutions and vendors that they have recommended also can be used for non-GenAI applications as well.

LLM 52

LLM Python Automation Data Analysis 52