Analytics Vidhya

FEBRUARY 4, 2024

Introduction As Python enthusiasts, we understand that crafting clean, readable, and concise code is not just a skill – it’s an art. So, what’s stopping you from becoming an expert? String interpolation becomes your brush, allowing you to seamlessly weave expressions, variables, and functions into the very fabric of your strings. It is a powerful […] The post 10 Python String Interpolation Approaches appeared first on Analytics Vidhya.

Python 263

Python Deep Learning Data Science Artificial Intelligence 263

Unite.AI

FEBRUARY 4, 2024

The evolution of facial recognition technology has taken a big leap forward with the development of a new, more compact 3D surface imaging system. Spearheaded by researchers, this innovative technology significantly streamlines the facial recognition process, commonly used in unlocking smartphones and securing online bank accounts. Unlike traditional systems that rely on bulky projectors and lenses, this new approach utilizes flatter, simplified optics, making it a game-changer in the realm of p

Computer Vision 182

Computer Vision Robotics Machine Learning Algorithm 182

Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving. Such varied exposure aims to develop universal capabilities in AI systems, an essential step toward the grand vision of artificial general intelligence (AGI).

Neural Network 143

Neural Network Machine Learning Algorithm AI Researcher 143

Towards AI

FEBRUARY 4, 2024

Last Updated on February 5, 2024 by Editorial Team Author(s): Dimitre Oliveira Originally published on Towards AI. Photo by Jeremy Yap on Unsplash AI has been used in the movie industry in many different use cases, from visual effects to the recent usage of generative AI to create scripts or actual movies; some use cases are less obvious, like movie recommendations or creating content to promote the movie, this project targets this last use case, with it, a user will be able to automatically gen

AI 111

AI AI Generative AI Machine Learning 111

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

AI

Marktechpost

FEBRUARY 4, 2024

Large language models (LLMs) have become a prominent force in the rapidly evolving landscape of artificial intelligence. These models, built primarily on Transformer architectures, have expanded AI’s capabilities in understanding and generating human language, leading to diverse applications. Yet, a notable challenge in this realm is enhancing LLMs for creative writing.

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Large Language Models Algorithm Artificial Intelligence Artificial Intelligence 141

Marktechpost

FEBRUARY 4, 2024

Mobile device agents utilizing Multimodal Large Language Models (MLLM) have gained popularity due to the rapid advancements in MLLMs, showcasing notable visual comprehension capabilities. This progress has made MLLM-based agents viable for diverse applications. The emergence of mobile device agents represents a novel application, requiring these agents to operate devices based on screen content and user instructions.

Large Language Models 139

Large Language Models Metadata LLM ML 139

Mlearning.ai

FEBRUARY 4, 2024

Medium’s Boost nominee Continue reading on MLearning.

ML 98

ML Machine Learning AI AI 98

Marktechpost

FEBRUARY 4, 2024

Large Language Models (LLMs) have gathered a massive amount of attention and popularity among the Artificial Intelligence (AI) community in recent months. These models have demonstrated great capabilities in tasks including text summarization, question answering, code completion, content generation, etc. LLMs are frequently trained on inadequate web-scraped data.

Large Language Models 139

Large Language Models LLM Artificial Intelligence Artificial Intelligence 139

Explosion

FEBRUARY 4, 2024

A case study on Nesta’s workflow for extracting 7 million job ads to better understand UK skill demand, using a custom mapping step to match skills to any government taxonomy.

NLP 63

NLP 63

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Generative AI

Marktechpost

FEBRUARY 4, 2024

In advanced machine learning, Retrieval-Augmented Generation (RAG) systems have revolutionized how we approach large language models (LLMs). These systems extend the capabilities of LLMs by integrating an Information Retrieval (IR) phase, which allows them to access external data. This integration is crucial, as it enables the RAG systems to overcome the limitations faced by standard LLMs, which are typically constrained to their pre-trained knowledge and limited context window.

Machine Learning 133

Machine Learning Large Language Models Categorization AI 133

Mlearning.ai

FEBRUARY 4, 2024

Challenge Accepted! How I created a chatbot that surpassed the performance of the famous ChatGPT model using free and open source AI tools… Continue reading on MLearning.

Chatbots 52

Chatbots AI Tools ChatGPT AI 52

Marktechpost

FEBRUARY 4, 2024

Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics, audio, and medicine. Modern approaches allow LLMs to produce visual data using specialized modules like VQ-VAE and VQ-GAN, which convert continuous visual pixels into discrete grid tokens.

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Natural Language Processing LLM Robotics NLP 132

Pickl AI

FEBRUARY 4, 2024

Summary : Alteryx revolutionizes data analytics with its intuitive platform, empowering users to effortlessly clean, transform, and analyze vast datasets without coding expertise. The drag-and-drop interface of Alteryx Designer simplifies workflow creation, while automation features enhance efficiency. From predictive modeling and geospatial analysis to automated workflows, Alteryx streamlines complex tasks.

ETL 52

ETL Automation Machine Learning Data Integration 52

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

Marktechpost

FEBRUARY 4, 2024

Optimizing code through abstraction in software development is not just a practice but a necessity. It leads to streamlined processes, where reusable components simplify tasks, increase code readability, and foster reuse. The development of generalizable abstractions, especially in automated program synthesis, stands at the forefront of current research endeavors.

Large Language Models 131

Large Language Models Automation Software Development LLM 131

Pragnakalp

FEBRUARY 4, 2024

In the world of AI, large language models have changed the way computers understand human language. Their potential for business solutions relies on strong information retrieval. Retrieval Augmented Generation enhances large language models by incorporating real-time information from external knowledge bases, ensuring more accurate and up-to-date responses.

LLM 52

LLM OpenAI Large Language Models Python 52

Marktechpost

FEBRUARY 4, 2024

Creating effective pipelines, especially using RAG (Retrieval-Augmented Generation), can be quite challenging in information retrieval. These pipelines involve various components, and choosing the right models for retrieval is crucial. While dense embeddings like OpenAI’s text-ada-002 serve as a good starting point, recent research suggests that they might not always be the optimal choice for every scenario.

Machine Learning 116

Machine Learning OpenAI Large Language Models Artificial Intelligence 116

Mlearning.ai

FEBRUARY 4, 2024

A Comprehensive Training Handbook Hello, everyone. I hope you are doing well. This is the second part of my Neural Networks 101 series, in this blog we are going to discuss about the training of machine learning models. With a few examples, this section will primarily cover forward propagation. You can follow me on Twitter to learn more about this. Every day, I tweet about a variety of subjects here, such as software engineering, system design, deep learning, machine learning, and more.

Neural Network 52

Neural Network Deep Learning Machine Learning Software Engineer 52

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Generative AI

TheSequence

FEBRUARY 4, 2024

Created Using DALL-E Next Week in The Sequence: Edge 367: We dive into multi-chain reasoning in LLMs including the original research paper on this topic published by Allen AI. It also explores Gradio as a very effective tool for demoing LLM apps. Edge 368: We review one of my favorite frameworks for autonomous agents: MemGPT! You can subscribe below!

Generative AI 52

Generative AI LLM Neural Network AI 52

Marktechpost

FEBRUARY 4, 2024

Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance in numerous tasks, making them invaluable in the field of natural language processing and computer vision. Foundational models are also used in Monocular Depth Estimation (MDE), i.e., estimating depth from a single image, and are widely used in autonomous vehicles, robotics, and virtu

Computer Vision 130

Computer Vision Neural Network Natural Language Processing Deep Learning 130

Robot Writers AI

FEBRUARY 4, 2024

You can’t blame Microsoft for grinning ear-to-ear: Its profits are up 33% for Q4, 2023 — a clear sign that it’s getting a significant bump from its investment in AI. Observes Satya Nadella, CEO, Microsoft: “We’ve moved from talking about AI to applying AI at scale. “By infusing AI across every layer of our tech stack, we’re winning new customers and helping drive new benefits and productivity gains across every sector.

Auto-complete 52

Auto-complete Robotics ChatGPT Chatbots 52

Pickl AI

FEBRUARY 4, 2024

Unveiling Google Gemini: A Revolutionary Leap in Multimodal AI In the dynamic realm of Artificial Intelligence (AI), the relentless pursuit of innovation has brought groundbreaking advancements, and at the forefront of this technological revolution is the awe-inspiring Multimodal AI. Today, our focus turns to an exceptional manifestation of this technology — Google’s Gemini.

Natural Language Processing 52

Natural Language Processing AI AI Artificial Intelligence 52

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