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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Data Science Algorithm Big Data Data Analysis 348

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 306

Eugene Yan

FEBRUARY 10, 2024

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

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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.

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 138

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.

Neural Network 59

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.

Data Science 111

Data Science Data Scientist Algorithm Machine Learning 111

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.

AI 52

AI AI AI Chatbots Data Analysis 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 114

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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

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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ML Data Science 52

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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Mlearning.ai

FEBRUARY 10, 2024

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

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AI AI ML 52

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 114

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.

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

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!

Chatbots 101

Chatbots ChatGPT Generative AI AI 101