Analytics Vidhya

MAY 5, 2024

Introduction Large Language Models (LLMs) are advanced natural language processing models that have achieved remarkable success in various benchmarks for mathematical reasoning. These models are designed to process and understand human language, enabling them to perform tasks such as question answering, language translation, and text generation. LLMs are typically trained on large datasets scraped from […] The post LLMs Exposed: Are They Just Cheating on Math Tests?

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Ehud Reiter

MAY 5, 2024

There is a lot of excitement about using LLMs and AI more generally in medicine, but it sometimes seems that enthusiasts have limited awareness of the history of AI in Medicine. Which I think is a mistake, we can learn from previous “booms” and “busts” in AI/Medicine (such as IBM Watson), while of course still hoping and expecting that things will be different this time.

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Analytics Vidhya

MAY 5, 2024

Introduction CodeGemma 7B is a specialized open code model built on top of Gemma, a family of language models developed by Google DeepMind. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1 7B Explained appeared first on Analytics Vidhya.

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Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. Attention mechanisms have been revolutionary, allowing for better handling of sequence modeling tasks. However, the computational complexity associated with these mechanisms scales quadratically with sequence length, which becomes a significant bottleneck when managing long-context tasks such as genomics and natura

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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, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

Generative AI

Analytics Vidhya

MAY 5, 2024

Introduction This guide focuses on mastering Python and NumPy, a powerful library for numerical computing. It offers 30 tips and tricks to enhance coding skills, covering foundational matrix operations and advanced statistical analysis techniques. Practical examples accompany each tip, allowing users to navigate complex data manipulations and scientific computations.

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Analytics Vidhya

MAY 5, 2024

Introduction Large language models (LLMs) have dramatically reshaped computational mathematics. These advanced AI systems, designed to process and mimic human-like text, are now pushing boundaries in mathematical fields. Their ability to understand and manipulate complex concepts has made them invaluable in research and development. Among these innovations stands Paramanu-Ganita, a creation of Gyan AI Research. […] The post Paramanu-Ganita: A New Mathematical Model that Outperforms LLaMa,

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Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters.

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Machine Learning Mastery

MAY 5, 2024

The image diffusion model, in its simplest form, generates an image from the prompt. The prompt can be a text prompt or an image as long as a suitable encoder is available to convert it into a tensor that the model can use as a condition to guide the generation process. Text prompts are probably […] The post More Prompting Techniques for Stable Diffusion appeared first on MachineLearningMastery.com.

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Marktechpost

MAY 5, 2024

Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. This approach leverages GNNs to learn the underlying graph structure of an environment, enabling it to make quick and informed decisions about which paths to take. Let’s delve into the detailed specifics of the three prominent systems: 1.

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Neural Network Robotics Deep Learning Computer Vision 117

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Towards AI

MAY 5, 2024

Last Updated on May 7, 2024 by Editorial Team Author(s): Vatsal Saglani Originally published on Towards AI. The cheapest and easiest way for Video Question AnsweringImage by ChatGPT In my last blog about Microsoft-Phi-3-Mini, I discussed how Small language models (SLMs) like the Phi-3-Mini help with quick experimentations on a user’s local machine. In this blog, we’ll look at how we can prototype a VideoQA engine that runs locally using the Microsoft Phi-3-Mini model and llama-cpp-python.

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Marktechpost

MAY 5, 2024

The large language models (LLMs) research domain emphasizes aligning these models with human preferences to produce helpful, unbiased, and safe responses. Researchers have made significant strides in training LLMs to improve their ability to understand, comprehend, and interact with human-generated text, enhancing communication between humans and machines.

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Machine Learning Research at Apple

MAY 5, 2024

Vision Foundation Models (VFMs) pretrained on massive datasets exhibit impressive performance on various downstream tasks, especially with limited labeled target data. However, due to their high inference compute cost, these models cannot be deployed for many real-world applications. Motivated by this, we ask the following important question, "How can we leverage the knowledge from a large VFM to train a small task-specific model for a new target task with limited labeled training data?

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Marktechpost

MAY 5, 2024

Generic transport equations, comprising time-dependent partial differential equations (PDEs), delineate the evolution of extensive properties in physical systems, encompassing mass, momentum, and energy. Derived from conservation laws, they underpin comprehension of diverse physical phenomena, from mass diffusion to Navier–Stokes equations. Widely applicable across science and engineering, these equations support high-fidelity simulations vital for addressing design and prediction challenges in

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Robot Writers AI

MAY 5, 2024

Thousands of Free, ChatGPT Competitors Pop-Up on the Web Thousands of free, alternative versions of a new AI engine released by Mark Zuckerberg of Facebook fame are popping-up on the Web. The reason: Zuckerberg released his new AI engine — dubbed Llama 3 –as free, open source code that can be downloaded and altered by anyone interested in doing a little tinkering.

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Marktechpost

MAY 5, 2024

The robotics research field has significantly transformed by integrating large language models (LLMs). These advancements have presented an opportunity to guide robotic systems in solving complex tasks that involve intricate planning and long-horizon manipulation. While robots have traditionally relied on predefined skills and specialized engineering, recent developments show potential in using LLMs to help guide reinforcement learning (RL) policies, bridging the gap between abstract high-level

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TheSequence

MAY 5, 2024

Created Using DALL-E Next Week in The Sequence: Edge 393: Our series about autonomous agents starts diving into planning! We evaluate the ADaPT planning method from Allen AI and XLang Agents framework. Edge 394: We discuss the amazing Jamba model that combines transformers and SSMs in a single architecture! You can subscribed to The Sequence below: TheSequence is a reader-supported publication.

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Large Language Models LLM ML Deep Learning 52

Marktechpost

MAY 5, 2024

The natural language processing (NLP) field is continuously evolving, with large language models (LLMs) becoming integral to many applications. The push towards fine-tuning these models has become crucial to enhance their specific capabilities without requiring extensive computational resources. Researchers have recently explored ways to modify LLMs to ensure they perform optimally, even with limited computational resources.

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Large Language Models Natural Language Processing NLP LLM 118

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.