Analytics Vidhya

JANUARY 21, 2024

Welcome to the AI Quiz on Excel! In this exciting exploration of artificial intelligence (AI) in spreadsheet software, we will explore the fascinating intersection of technology and data manipulation. As Excel continues to evolve, integrating AI features has become a game-changer, revolutionizing how we analyze, visualize, and interpret information.

Artificial Intelligence 305

Artificial Intelligence Artificial Intelligence AI AI 305

Marktechpost

JANUARY 21, 2024

In a recent study, a team of researchers from Google DeepMind has introduced AlphaGeometry, an Artificial Intelligence (AI) system that can easily solve geometry Olympiad questions almost as well as a human gold medallist. Olympiad-level mathematical theorem proofs are noteworthy accomplishments that represent sophisticated automated reasoning abilities, especially in the difficult field of pre-university mathematics.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence Automation ML 141

Analytics Vidhya

JANUARY 21, 2024

Introduction Indentation plays a crucial role in Python programming. It is a unique feature of the language that sets it apart from other programming languages. In Python, indentation is used to define the structure and hierarchy of the code. It helps in visually organizing the code and making it more readable. This article will explore […] The post Indentation in Python with Examples appeared first on Analytics Vidhya.

Python 302

Python 302

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language. Addressing this, the idea of instruction tuning has emerged as a pivotal method to elevate LLMs’ capabilities and control.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

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.

Analytics Vidhya

JANUARY 21, 2024

Introduction When it comes to writing code in Python, it’s not just about creating functional and efficient programs. It’s also about making your code readable, maintainable, and collaborative. One way to achieve this is by writing comments in your Python code. Comments are lines of text that the Python interpreter ignores but provide valuable information […] The post Enhancing Python Code: The Power of Effective Comments appeared first on Analytics Vidhya.

Python 295

Python 295

Analytics Vidhya

JANUARY 21, 2024

Introduction In the rapidly evolving field of data science, the demand for skilled professionals well-versed in deep learning is at an all-time high. As organizations understand the power of artificial intelligence to derive insights from vast datasets, data scientists equipped with deep learning expertise have become invaluable assets. Whether you are a seasoned data scientist […] The post Top 30 Deep Learning Interview Questions for Data Scientists appeared first on Analytics Vidhya.

Data Scientist 294

Data Scientist Deep Learning Artificial Intelligence Artificial Intelligence 294

Marktechpost

JANUARY 21, 2024

Machine translation, a crucial aspect of Natural Language Processing, has significantly increased. Yet, a primary challenge persists: producing translations beyond mere adequacy to reach near perfection. Traditional methods, while effective, often need to be improved by their reliance on large datasets and supervised fine-tuning (SFT), leading to limitations in the quality of the output.

LLM 137

LLM Large Language Models Natural Language Processing AI 137

Analytics Vidhya

JANUARY 21, 2024

Introduction Python is a versatile programming language that offers a wide range of data structures to work with. Two popular data structures in Python are dictionaries and pandas DataFrames. In this article, we will explore the process of converting a Python dictionary into a pandas DataFrame. Learn Introduction to Python Programming. Click here. What is a […] The post How to Convert Python Dictionary to Pandas DataFrame ?

Python 293

Python 293

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) are increasingly employed for various domains, with use cases including creative writing, chatbots, and semantic search. Many of these applications are inherently subjective and require generations catering to different demographics, cultural and societal norms, or individual preferences. Through their large-scale training, current language models are exposed to diverse data that allows them to represent many such opinions.

Machine Learning 130

Machine Learning Large Language Models LLM Chatbots 130

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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

Analytics Vidhya

JANUARY 21, 2024

Introduction Image resizing is a crucial task in computer vision that involves changing the dimensions of an image while maintaining its aspect ratio. It is fundamental in various applications, including web development, computer vision tasks, and machine learning models. In this article, we will explore different image-resizing techniques using OpenCV, a popular library for computer […] The post Image Resizing using OpenCV in Python appeared first on Analytics Vidhya.

Python 291

Python Computer Vision Machine Learning Deep Learning 291

Marktechpost

JANUARY 21, 2024

Alignment has become a pivotal concern for the development of next-generation text-based assistants, particularly in ensuring that large language models (LLMs) align with human values. This alignment aims to enhance LLM-generated content’s accuracy, coherence, and harmlessness in response to user queries. The alignment process comprises three key elements: feedback acquisition, alignment algorithms, and model evaluation.

Large Language Models 130

Large Language Models LLM Algorithm Artificial Intelligence 130

Great Learning

JANUARY 21, 2024

Contributed by: Prashanth Ashok Ridge regression is a model-tuning method that is used to analyze any data that suffers from multicollinearity. This method performs L2 regularization. When the issue of multicollinearity occurs, least-squares are unbiased, and variances are large, this results in predicted values being far away from the actual values.

Machine Learning 98

Machine Learning 98

Machine Learning Research at Apple

JANUARY 21, 2024

This paper was accepted at the workshop on Regulatable ML at NeurIPS 2023. Conformal Prediction (CP) is a method of estimating risk or uncertainty when using Machine Learning to help abide by common Risk Management regulations often seen in fields like healthcare and finance. CP for regression can be challenging, especially when the output distribution is heteroscedastic, multimodal, or skewed.

Machine Learning 69

Machine Learning ML 69

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

TheSequence

JANUARY 21, 2024

Created Using DALL-E Next Week in The Sequence: Edge 365: Our series about LLM reasoning continues with the famous ReAct technique including a review of the original paper by Google Research. We also explore Helicone to monitor LLMs. Edge 366: Reviews COSP and USP: Google Research New Methods to Advance Reasoning in LLMs You can subscribe below! TheSequence is a reader-supported publication.

LLM 59

LLM Neural Network Large Language Models AI Tools 59

Machine Learning Research at Apple

JANUARY 21, 2024

This paper was accepted at WMT conference at EMNLP. The Transformer architecture has two main non-embedding components: Attention and the Feed Forward Network (FFN). Attention captures interdependencies between words regardless of their position, while the FFN non-linearly transforms each input token independently. In this work, we explore the role of FFN and find that despite, and find that despite taking up a significant fraction of the model's parameters, it is highly redundant.

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64

Robot Writers AI

JANUARY 21, 2024

CMSWire has come out with an extremely handy rundown of the top five free courses for mastering ChatGPT. Each course focuses on how to ‘prompt’ ChatGPT — or how to put together a string of words into ChatGPT– so you’re sure to get the exact writing or output you’re looking for. According to writer Scott Clark, the “comprehensive courses are available for those seeking a more in-depth understanding of what some are describing as both a science and an art

ChatGPT 52

ChatGPT OpenAI Chatbots AI Chatbots 52

Machine Learning Research at Apple

JANUARY 21, 2024

This paper was accepted at the workshop Deep Generative Models for Health at NeurIPS 2023. Cardiovascular diseases (CVDs) are a major global health concern, making the longitudinal monitoring of cardiovascular biomarkers vital for early diagnosis and intervention. A core challenge is the inference of cardiac pulse parameters from pulse waves, especially when acquired from wearable sensors at peripheral body locations.

Machine Learning 45

Machine Learning ML 45

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Mlearning.ai

JANUARY 21, 2024

Unlocking New Possibilities: Seamless LLM-Database Fusion with LangChain Continue reading on MLearning.

LLM 52

LLM Prompt Engineer Prompt Engineering OpenAI 52

Machine Learning Research at Apple

JANUARY 21, 2024

Two salient limitations have long hindered the relevance of optimal transport methods to machine learning. First, the computational cost of standard sample-based solvers (when used on batches of samples) is prohibitive. Second, the mass conservation constraint makes OT solvers too rigid in practice: because they must match textit{all} points from both measures, their output can be heavily influenced by outliers.

Machine Learning 45

Machine Learning 45

Mlearning.ai

JANUARY 21, 2024

Your free and user friendly Blueprint to unlock the power of any AI Continue reading on MLearning.

Prompt Engineer 52

Prompt Engineer Prompt Engineering AI AI 52

Machine Learning Research at Apple

JANUARY 21, 2024

This paper was accepted at the workshop Machine Learning and the Physical Sciences at NeurIPS 2023. Over the past decades, hemodynamics simulators have steadily evolved and have become tools of choice for studying cardiovascular systems in-silico. This comes naturally at the cost of increasing complexity since state-of-the-art models are non-linear partial differential equations depending on many parameters.

Machine Learning 45

Machine Learning 45

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Explosion

JANUARY 21, 2024

Context aware, pluggable and customizable PII de-identification and anonymization service for text and images, featuring a spaCy back-end.

Computer Vision 40

Computer Vision 40

Machine Learning Research at Apple

JANUARY 21, 2024

Super-resolution (SR) techniques have recently been proposed to upscale the outputs of neural radiance fields (NeRF) and generate high-quality images with enhanced inference speeds. However, existing NeRF+SR methods increase training overhead by using extra input features, loss functions, and/or expensive training procedures such as knowledge distillation.

40

40

Marktechpost

JANUARY 21, 2024

One effective method to improve the reasoning skills of LLMs is to employ supervised fine-tuning (SFT) with chain-of-thought (CoT) annotations. However, this approach has limitations in terms of generalization because it heavily depends on the provided CoT data. In scenarios like math problem-solving, each question in the training data typically has only one annotated reasoning path.

AI Researcher 113

AI Researcher AI Research Algorithm Python 113