ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. Sessions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) started gaining popularity, marking the beginning of data sciences shift toward AI-driven methods.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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Machine Learning NLP AI AI 221

IBM Journey to AI blog

JANUARY 10, 2024

The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. This is where AI programming offers a clear edge over rules-based programming methods. What are the pros and cons of AI (compared to traditional computing)?

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Marktechpost

MAY 30, 2024

Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It also introduces Google’s 7 AI principles.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_0.png'

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Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Unite.AI

APRIL 3, 2024

In today's era of rapid technological advancement, Artificial Intelligence (AI) applications have become ubiquitous, profoundly impacting various aspects of human life, from natural language processing to autonomous vehicles. Moreover, balancing AI advancement with sustainable energy practices is vital.

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Neural Network Natural Language Processing AI AI 146

IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. About the Authors Sujitha Martin is an Applied Scientist in the Generative AI Innovation Center (GAIIC).

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Large Language Models Natural Language Processing LLM Computer Vision 120

Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy.

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Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 98

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. They work on complex problems that require advanced neural networks to analyse vast amounts of data. Hyperparameter Tuning: Adjusting model parameters to improve performance and accuracy.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Viso.ai

DECEMBER 20, 2023

It accelerates AI research and prototype development. The integrated approach promotes collaboration, innovation, and responsible AI practices with deep learning algorithms. The Computational Graph is a dynamic and versatile representation of neural network operations. Computational Graph. Operators and Kernels.

Deep Learning 52

Deep Learning Neural Network Computer Vision Natural Language Processing 52

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. Responsible AI tooling remains an active area of innovation.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Allen AI

FEBRUARY 1, 2024

With OLMo we hope to work against this trend and empower the research community to come together to better understand and engage with language models in a scientific way, leading to more responsible AI technology that benefits everyone.”

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LLM Large Language Models AI Researcher AI Research 76

Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Heartbeat

OCTOBER 12, 2023

The Rise of Large Language Models The emergence and proliferation of large language models represent a pivotal chapter in the ongoing AI revolution. This fine-tuning process refines their ability to perform tasks like image recognition, speech-to-text conversion, or generating text from audio cues.

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Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. Neural networks can also synthesize unstructured data like images and video. This generative AI technique involves two competing neural networks: a generator and a discriminator.

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The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Scale AI combines human annotators and machine learning algorithms to deliver efficient and reliable annotations for your team.

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Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. NLP skills have long been essential for dealing with textual data.

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Prompt Engineer Prompt Engineering Data Science LLM 52

ODSC - Open Data Science

APRIL 21, 2023

In this keynote, you’ll learn how with Azure OpenAI Service, businesses can leverage some of the most advanced AI models, such as Dall-E 2, GPT-3.5, You’ll also learn about Azure’s enterprise-grade capabilities, including security and privacy controls, geo-diversity, content filtering, and responsible AI.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Pickl AI

SEPTEMBER 23, 2024

AI is making a difference in key areas, including automation, language processing, and robotics. Automation: AI powers automated systems in manufacturing, reducing human intervention and increasing production efficiency. This role often requires expertise in Deep Learning, Neural Networks, and advanced AI technologies.

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Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

JULY 18, 2023

Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Gain Practical Experience Apply your theoretical knowledge by working on real-world AI projects.

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AI Architect AI Engineer Machine Learning Data Scientist 52

Flipboard

DECEMBER 3, 2024

Use cases Cropwise AI addresses several critical use cases, providing tangible benefits to sales representatives and growers: Product recommendation – A sales representative or grower seeks advice on the best seed choices for specific environmental conditions, such as “My region is very dry and windy.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

This satisfies the strong MME demand for deep neural network (DNN) models that benefit from accelerated compute with GPUs. These include computer vision (CV), natural language processing (NLP), and generative AI models. The impact is more for models using a convolutional neural network (CNN).

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ODSC - Open Data Science

MARCH 6, 2024

Be sure to check out her talk, “ Language Modeling, Ethical Considerations of Generative AI, and Responsible AI ,” there! Decades of technological innovation have shaped Artificial Intelligence (AI) as we know it today, but there has never been a moment for AI quite like the present one.

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Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. The momentum continued in 2017 with the introduction of transformer models like BERT and GPT, which revolutionized natural language processing. These models made AI tasks more efficient and cost-effective.

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ODSC - Open Data Science

FEBRUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Currently, the lab has hundreds of projects that span multiple disciplines.

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Artificial Intelligence Artificial Intelligence AI Researcher AI Research 52

Dlabs.ai

DECEMBER 6, 2022

launched an initiative called ‘ AI 4 Good ‘ to make the world a better place with the help of responsible AI. They use various state-of-the-art technologies, such as statistical modeling, neural networks, deep learning, and transfer learning to uncover the underlying relationships in data.

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Bugra Akyildiz

FEBRUARY 24, 2024

Increased Democratization: Smaller models like Phi-2 reduce barriers to entry, allowing more developers and researchers to explore the power of large language models. Responsible AI Development: Phi-2 highlights the importance of considering responsible development practices when building large language models.

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