Analytics Vidhya

FEBRUARY 10, 2024

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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Unite.AI

FEBRUARY 10, 2024

According to Microsoft research, around 88% of the world's languages , spoken by 1.2 billion people, lack access to Large Language Models (LLMs). This is because most LLMs are English-centered, i.e., they are mostly built with English data and for English speakers. ​This English dominance also prevails in LLM development and has resulted in a digital language gap, potentially excluding most people from the benefits of LLMs.

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LLM Large Language Models Data Quality ML 317

Analytics Vidhya

FEBRUARY 10, 2024

Introduction Python stands out for its simplicity, versatility, and power in the realm of programming languages. The modulo operator (%) holds a special place among its myriad built-in operators, offering a convenient means to calculate remainders and perform cyclic operations. However, despite its apparent simplicity, mastering the modulo operator can be a stumbling block for […] The post Python Modulo Operator: Common Errors and How to Use appeared first on Analytics Vidhya.

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Python 317

Eugene Yan

FEBRUARY 10, 2024

Distillation vs. self-improvement across the three stages of language model training.

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Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Marktechpost

FEBRUARY 10, 2024

Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning from human feedback (RLHF), they have significantly improved performing various tasks. However, the challenge lies in synthesizing novel content solely based on human feedback. One of the core challenges in advancing LLMs is optimizing their learning process from human feedback.

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Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 137

Marktechpost

FEBRUARY 10, 2024

Handling dependencies in Python projects can often become daunting, especially when dealing with a mix of Python and non-Python packages. The constant juggling between different dependency files can lead to confusion and inefficiencies in the development process. Meet UniDep , a tool designed to streamline and simplify Python dependency management, making it an invaluable asset for developers, particularly in research, data science, robotics, AI, and ML projects.

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Python Robotics Data Science ML 106

Towards AI

FEBRUARY 10, 2024

Author(s): Kelvin Lu Originally published on Towards AI. Photo by CDC on Unsplash The Data Scientist Show, by Daliana Liu, is one of my favorite YouTube channels. Unlike many other data science programs that are very technical and require concentration to follow through, Daliana’s talk show strikes a delicate balance between profession and relaxation.

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Data Scientist Software Development Data Science Machine Learning 108

Bugra Akyildiz

FEBRUARY 10, 2024

Articles Google wrote an article on announcing Graph Neural Networks(GNN)s on Tensorflows. They talk about following problems to solve: Data complexity: How to efficiently process and learn from the intricate relationships within graph-structured data. Limited resources: Address memory and computational constraints for training and running GNNs on large-scale graphs.

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Neural Network Large Language Models LLM Chatbots 59

Towards AI

FEBRUARY 10, 2024

Author(s): Egor Howell Originally published on Towards AI. These will increase your chances of landing that first Data Scientist role!Image created by author. Nowadays, many people want to be a data scientist. It’s a pretty cool job where you build algorithms, carry out in-depth analyses, and are able to work for a wide range of businesses. However, with this increasing supply, it’s making it harder and harder for prospective people to break into the field.

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Data Science Data Scientist Machine Learning Algorithm 100

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Mlearning.ai

FEBRUARY 10, 2024

Unlocking Predictive Power: How Bayes’ Theorem Fuels Naive Bayes Algorithm to Solve Real-World Problems [link] Introduction In the constantly shifting realm of machine learning, we can see that many intricate algorithms are rooted in the fundamental principles of statistics and probability. These mathematical domains serve as the crucial framework for comprehending patterns in data, allowing us to make highly accurate forecasts about future events.

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Algorithm Machine Learning Categorization Automation 52

Towards AI

FEBRUARY 10, 2024

Author(s): Tim Cvetko Originally published on Towards AI. An experiment adjourning for the effectiveness of LoRA on LLM The need for increasingly domain-applicable LLMs is causing a turmoil of advances to surpass the limitations of the truly “large” language models. At the expense of generalisability, fine-tuned models are being developed to cover niche reasoning, namely Bloomberg GPT, Finance GPT, etc.

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Large Language Models LLM Algorithm ML 95

Ofemwire

FEBRUARY 10, 2024

Barely 1 year old, the search engine giant Google, has renamed its own AI chatbot bard to Gemini. With so much speculations that comes with this news many Bard AI users can only have one question, WHY? Alongside this announcement, Google also introduced a paid version of Gemini, named Gemini Advanced. Gemini is now the default assistant on Android, and it’s also available on the iOS Google App.

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AI Chatbots AI AI Data Analysis 52

Mlearning.ai

FEBRUARY 10, 2024

Powerbi has been my go-to tool for creating dashboards, be it at work or during my free time. Continue reading on MLearning.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Towards AI

FEBRUARY 10, 2024

Last Updated on February 12, 2024 by Editorial Team Author(s): Alden Do Rosario Originally published on Towards AI. If you are in the world of research, have you ever wondered how cool it would be to have all the answers AND your research knowledge at your fingertips? That’s exactly what Retrieval-Augmented Generation (RAG) brings to the table. It’s almost like using ChatGPT — with ONE big difference: It is based on your ground truth knowledge — so this means: No hallucinations!

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Chatbots ChatGPT Generative AI AI 78

Mlearning.ai

FEBRUARY 10, 2024

Revolutionizing Mobile AI with Rapid Text-to-Image Generation Continue reading on MLearning.

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