Analytics Vidhya

JUNE 30, 2024

Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. We go over the architecture, implementation specifics, advantages, and required actions.

Large Language Models 317

Large Language Models Chatbots LLM Deep Learning 317

Marktechpost

JUNE 30, 2024

Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as image classification, object detection, and semantic segmentation. However, their ability to handle different changes in data is still a big concern, especially for use in security-critical applications. Many works evaluated the robustness of CNNs and Transformers against common corruptions, domain shifts, information drops, and adversarial attacks.

Convolutional Neural Networks 137

Convolutional Neural Networks Neural Network Deep Learning ML 137

TheSequence

JUNE 30, 2024

Created Using DALL-E Next Week in The Sequence: Edge 409: We dive into long-term memory in autonomous agents. The research section reviews Microsoft LONGMEM reference architecture for long-term memory in LLMs. We also provide an introduction to the super popular Pinecone vector database. Edge 410: We dive into VTC, a super innovative method from UC Berkeley and Stanford for fiar LLM serving.

Algorithm 105

Algorithm LLM AI AI 105

Marktechpost

JUNE 30, 2024

Large language models (LLMs) have gained significant attention in recent years, but their safety in multilingual contexts remains a critical concern. Researchers are grappling with the challenge of mitigating toxicity in non-English languages, a problem that has been largely overlooked despite substantial investments in LLM safety. The issue is particularly pressing as studies have revealed high toxicity levels in multilingual LLMs, underscoring the urgent need for effective multilingual toxicit

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Large Language Models LLM Explainability ML 125

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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Generative AI

Artificial Lawyer

JUNE 30, 2024

Imagine buying a car from a vendor for which there are no standards, nor benchmarks for measuring and understanding: its safety features, its speed, its.

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Machine Learning Mastery

JUNE 30, 2024

Photography has been around for more than a century. There are many old photos around, and probably your family has some, too. Limited by the camera and film of the time, you may have photos of low resolution, blurry, or with folds or scratches. Restoring these old photos and making them like new ones taken […] The post Stable Diffusion Project: Reviving Old Photos appeared first on MachineLearningMastery.com.

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Marktechpost

JUNE 30, 2024

As artificial intelligence (AI) technology continues to advance and permeate various aspects of society, it poses significant challenges to existing legal frameworks. One recurrent issue is how the law should regulate entities that lack intentions. Traditional legal principles often rely on the concept of mens rea, or the mental state of the actor, to determine liability in areas such as freedom of speech, copyright, and criminal law.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence AI AI 124

Towards AI

JUNE 30, 2024

Author(s): Youssef Hosni Originally published on Towards AI. The comparative advantages and challenges of single-task versus multi-task fine-tuning of large language models (LLMs) are explored. The discussion begins with single-task fine-tuning, highlighting its benefits and drawbacks, including the issue of catastrophic forgetting. It then transitions to an overview of multitasking fine-tuning, examining both its challenges and potential benefits.

LLM 79

LLM Large Language Models AI AI 79

Marktechpost

JUNE 30, 2024

Natural language processing (NLP) has experienced significant growth, largely due to the recent surge in the size and strength of large language models. These models, with their exceptional performance and unique characteristics, are rapidly making a significant impact in real-world applications. These considerations have spurred a great deal of research on interpretability and analysis (IA) in natural language processing (NLP), which aims to decipher the logic behind LLMs and the reasoning behi

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NLP Natural Language Processing Large Language Models ML 112

Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

Automation

Towards AI

JUNE 30, 2024

Last Updated on June 30, 2024 by Editorial Team Author(s): Shashank Bhushan Originally published on Towards AI. Understanding What Embeddings Are Embeddings, sometimes also referred to as Feature representation, are a widely used technique/concept in Neural Network based machine learning. They are usually taken from an intermediate or hidden layer of a Deep Neural Network.

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Neural Network Categorization ML Machine Learning 70

Marktechpost

JUNE 30, 2024

Managing multiple agents in an AI system can be quite challenging. Each agent must communicate effectively, execute tasks reliably, and scale efficiently. This complex process often requires a robust framework to ensure smooth agent interaction and coordination. The available frameworks often fall short regarding ease of use, scalability, and flexibility.

AI 105

AI AI Large Language Models Artificial Intelligence 105

Towards AI

JUNE 30, 2024

Author(s): Eera Bhatt Originally published on Towards AI. Each year, we spend so much time and money developing new machine learning models, but most of them never get used in a practical setting. Sadly, this issue is even worse in the healthcare industry. Photo by Testalize.me on Unsplash A.I. in medicine. Because of COVID-19, a lot of us know about AI and are also familiar with its applications in medicine, but let’s summarize them for anyone who needs it.

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Artificial Intelligence Artificial Intelligence Machine Learning Computer Scientist 62

Ehud Reiter

JUNE 30, 2024

NOTE: This is a personal blog about a holiday, there is nothing here about NLG or AI! I like to go on cycling holidays, and this year I decided to cycle from Perth (Scotland) to Preston (England), visiting my son in Lockerbie along the way. I’ve actually already been to many of the towns and cities I visited in this trip, for work or personal visits, but this was a chance to see them as a tourist, and also to explore the countryside in between.

ChatGPT 141

ChatGPT AI AI 141

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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

Generative AI

Towards AI

JUNE 30, 2024

Last Updated on June 30, 2024 by Editorial Team Author(s): Stavros Theocharis Originally published on Towards AI. Introduction In the rapidly evolving landscape of web application development and artificial intelligence, having the right tools at your disposal can significantly streamline your workflow and boost productivity. Enter AutoStreamlit Studio, an intelligent assistant designed to simplify the creation of Streamlit applications.

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OpenAI Automation Machine Learning Artificial Intelligence 68

Marktechpost

JUNE 30, 2024

In recent years, the proliferation of generative AI technologies has led to the development of various user interfaces that harness the power of AI to enhance productivity, creativity, and user interaction. These interfaces are becoming increasingly sophisticated, providing users new ways to engage with digital tools and platforms. Here are seven emerging generative AI user interfaces that are making a significant impact: The Chatbot: Chatbots have revolutionized how people interact with AI.

Generative AI 111

Generative AI Chatbots Natural Language Processing Automation 111

Towards AI

JUNE 30, 2024

Last Updated on June 30, 2024 by Editorial Team Author(s): Milan Tamang Originally published on Towards AI. A step-by-step approach to build custom 8-bit quantizers from scratch using PyTorch and quantize facebook/opt-350m. Image by writer: MYQ (My Quantizer) quantizes the Facebook/opt-350 model and reduces the size by 54% Are you curious how popular quantizers such as BitsAndBytes, AWQ, and GGUF work under the hood?

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Neural Network Explainability Large Language Models LLM 90

Marktechpost

JUNE 30, 2024

Large Language Models (LLMs) have made significant advances in the field of Information Extraction (IE). Information extraction is a task in Natural Language Processing (NLP) that involves identifying and extracting specific pieces of information from text. LLMs have demonstrated great results in IE, especially when combined with instruction tuning.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence Large Language Models Natural Language Processing 108

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

Generative AI

Robot Writers AI

JUNE 30, 2024

A slew of major stories in AI writing that broke in Q2 have made the future for writers and editors crystal clear: The wholesale transition of writing-by-humans to writing-by-AI-machines has begun. Fading are the days when publishers and AI evangelists hid behind the euphemism that AI writers are just Silicon buddies looking to shoulder the drudge work so their human counterparts can do more interesting work.

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Auto-complete ChatGPT AI AI 52

Marktechpost

JUNE 30, 2024

The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing methods often need help with errors and hallucinations, leading to incorrect or misleading information in generated responses. This research aims to improve the accuracy and reliability of LLM outputs by introducing a novel verification framework.

Large Language Models 91

Large Language Models LLM ML Artificial Intelligence 91

Marktechpost

JUNE 30, 2024

Large Language Models (LLMs) have gained significant prominence in the AI industry, revolutionizing various applications such as chat, programming, and search. However, the efficient serving of multiple LLMs has emerged as a critical challenge for endpoint providers. The primary issue lies in the substantial computational requirements of these models, with a single 175B LLM demanding eight A100 (80GB) GPUs for inference.

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LLM Large Language Models Algorithm Deep Learning 99

Marktechpost

JUNE 30, 2024

Optimizing the efficiency of Feedforward Neural Networks (FFNs) within Transformer architectures is a significant challenge in AI. Large language models (LLMs) are highly resource-intensive, requiring substantial computational power and energy, which restricts their applicability and raises environmental concerns. Efficiently addressing this challenge is crucial for promoting sustainable AI practices and making advanced AI technologies more accessible by reducing operational costs.

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Large Language Models Neural Network AI Researcher AI Research 103

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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

Generative AI