Analytics Vidhya

JANUARY 27, 2024

Introduction Pandas is a powerful data manipulation library in Python that provides various data structures, including the DataFrame. A DataFrame is a two-dimensional labeled data structure with columns of potentially different types. It is similar to a table in a relational database or a spreadsheet in Excel. In data analysis, creating a DataFrame is often […] The post 10 Ways to Create Pandas Dataframe appeared first on Analytics Vidhya.

Data Analysis 328

Data Analysis Python Deep Learning Data Science 328

Unite.AI

JANUARY 27, 2024

The University of Amsterdam has marked a significant milestone in the field of chemistry with the introduction of RoboChem, an innovative autonomous chemical synthesis robot. Developed by Professor Timothy Noël's group at the UvA's Van ‘t Hoff Institute for Molecular Sciences, RoboChem stands as a pioneering achievement, demonstrating the potential to dramatically accelerate chemical discovery in pharmaceuticals and various other applications.

Automation 286

Automation Robotics Machine Learning Artificial Intelligence 286

Analytics Vidhya

JANUARY 27, 2024

Introduction Animation has always been a captivating art form, bringing characters and stories to life through the magic of motion. Over the years, technological advancements have revolutionized the animation industry, and now, Generative AI is taking centre stage. Generative AI refers to using artificial intelligence algorithms to create original and unique content.

Generative AI 296

Generative AI Artificial Intelligence Artificial Intelligence Algorithm 296

Marktechpost

JANUARY 27, 2024

In language model alignment, the effectiveness of reinforcement learning from human feedback (RLHF) hinges on the excellence of the underlying reward model. A pivotal concern is ensuring the high quality of this reward model, as it significantly influences the success of RLHF applications. The challenge lies in developing a reward model that accurately reflects human preferences, a critical factor in achieving optimal performance and alignment in language models.

AI Strategy 129

AI Strategy Large Language Models AI AI 129

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.

Towards AI

JANUARY 27, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Rakesh M K Originally published on Towards AI. Image created with Microsoft Bing Image Maker AutoKeras AutoKeras is Python’s Keras-based AutoML library for developing Deep Learning models. Built on top of TensorFlow by DATA Lab at Texas A&M University, it offers a solutions for classification, regression, time series forecasting, and much more.

Deep Learning 106

Deep Learning Explainability ML Engineer Data Scientist 106

Towards AI

JANUARY 27, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Afaque Umer Originally published on Towards AI. Unlocking the Power of Compose for Seamless Machine Learning WorkflowsPhoto by Larisa Birta on Unsplash In the ever-evolving landscape of machine learning experimentation and application development, navigating the coordination of diverse system components poses a significant logistical challenge.

Machine Learning 99

Machine Learning Data Scientist Data Science AI 99

Marktechpost

JANUARY 27, 2024

With the growth of trending AI applications, Machine Learning ML models are being used for various purposes, leading to an increase in the advent of multimodal models. Multimodal models are very useful, and researchers are putting a lot of emphasis on these nowadays as they help mirror the complexity of human cognition by integrating diverse data sources such as text and images.

AI 110

AI AI AI Researcher AI Research 110

Bugra Akyildiz

JANUARY 27, 2024

Articles One of the readers of the newsletter sent me the following blog post about modular deep learning and it is very interesting research direction for foundational models. It stars with the following problems to solve for the existing traditional Foundation Models: Monolithic Bottlenecks: Traditional deep learning models are built as intricate, interconnected webs.

Deep Learning 59

Deep Learning Large Language Models LLM Convolutional Neural Networks 59

Marktechpost

JANUARY 27, 2024

The spread of false information is an issue that has persisted in the modern digital era. The lowering of content creation and sharing barriers brought about by the explosion of social media and online news outlets has had the unintended consequence of speeding up the creation and distribution of different forms of disinformation (such as fake news and rumors) and amplifying their impact on a global scale.

LLM 141

LLM Large Language Models Prompt Engineer Prompt Engineering 141

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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

Marktechpost

JANUARY 27, 2024

Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities that range from crafting complex prose to solving intricate computational problems. Despite their advanced functionalities, these models need fixing, sometimes yielding inaccurate or conflicting outputs. The challenge lies in enhancing their precision and versatility, particularly in complex, multi-faceted tasks.

OpenAI 140

OpenAI Natural Language Processing Python Artificial Intelligence 140

Marktechpost

JANUARY 27, 2024

Large-scale multilingual language models are the foundation of many cross-lingual and non-English Natural Language Processing (NLP) applications. These models are trained on massive volumes of text in multiple languages. However, the drawback to their widespread use is that because numerous languages are modeled in a single model, there is competition for the limited capacity of the model.

Natural Language Processing 127

Natural Language Processing Artificial Intelligence Artificial Intelligence NLP 127

Marktechpost

JANUARY 27, 2024

There is a need to build systems that can respond to user inputs, remember past interactions, and make decisions based on that history. This requirement is crucial for creating applications that behave more like intelligent agents, capable of maintaining a conversation, remembering past context, and making informed decisions. Currently, some solutions address parts of this problem.

AI 121

AI AI Artificial Intelligence Artificial Intelligence 121