Unite.AI

APRIL 9, 2024

As organizations strive for responsible and effective AI, Composite AI stands at the forefront, bridging the gap between complexity and clarity. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms.

Composite AI 179

Composite AI Explainability Black Box AI Neural Network 179

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). This obscurity makes it challenging to understand the AI's decision-making process.

LLM 263

LLM Machine Learning Explainability Algorithm 263

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'

Metadata 110

Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Marktechpost

APRIL 21, 2024

This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields. Introduction to Responsible AI : This course focuses on the ethical aspects of AI technology. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Unite.AI

APRIL 3, 2024

However, this progress has significantly increased the energy demands of data centers powering these AI workloads. Extensive AI tasks have transformed data centers from mere storage and processing hubs into facilities for training neural networks , running simulations, and supporting real-time inference.

Neural Network 146

Neural Network Natural Language Processing AI AI 146

AWS Machine Learning Blog

NOVEMBER 26, 2024

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, Mistral AI, Stability AI, and Amazon through a single API.

LLM 97

LLM Convolutional Neural Networks Metadata Explainability 97

ODSC - Open Data Science

MARCH 12, 2025

However, with this growth came concerns around misinformation, ethical AI usage, and data privacy, fueling discussions around responsible AI deployment. The Decline of Traditional MachineLearning 20182020: Algorithms like random forests, SVMs, and gradient boosting were frequent discussion points.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

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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Generative AI Neural Network ChatGPT Conversational AI 187

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.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. Neural Networks and Transformers What determines a language model's effectiveness? A simple artificial neural network with three layers. A neural network with 100 nodes and 1842 parameters (edges).

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

IBM Journey to AI blog

SEPTEMBER 3, 2024

The tool uses deep neural network models to spot fake AI audio in videos playing in your browser. With deepfake detection tech evolving at such a rapid pace, it’s important to keep potential algorithmic biases in mind. It’s why algorithmic bias is such a persistent problem in the LLMs that train on this data.

AI 136

AI AI LLM Algorithm 136

Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Generative AI is a fascinating field that has gained a lot of attention in recent years. It involves using machine learning algorithms to generate new data based on existing data. What is Generative AI?

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Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 98

Becoming Human

APRIL 19, 2024

The rise of AI consulting services AI consulting services have emerged as a key player in the digital transformation landscape. Businesses are leveraging the expertise of AI consultants to navigate the complexities of implementing AI solutions, from developing custom algorithms to integrating off-the-shelf AI tools.

AI 102

AI AI Responsible AI Artificial Intelligence 102

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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Responsible AI Data Science Deep Learning Machine Learning 52

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

ODSC - Open Data Science

DECEMBER 5, 2023

Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute —  Read the recap here!

Data Science 98

Data Science Large Language Models Artificial Intelligence Artificial Intelligence 98

Bugra Akyildiz

FEBRUARY 26, 2023

Libraries MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models. Bert paper has demos from HF spaces and Replicate.

Neural Network 52

Neural Network Deep Learning BERT Algorithm 52

Google Research AI blog

FEBRUARY 23, 2023

Criticality of technology partnerships Responsible innovation requires the patience and sustained investment to collectively follow the long arc from primary research to human impact. Top Google Research, 2022 & beyond This was the seventh blog post in the “Google Research, 2022 & Beyond” series.

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Convolutional Neural Networks ML Neural Network Deep Learning 104

ODSC - Open Data Science

DECEMBER 14, 2023

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. AI has unmatched speed and accuracy when it comes to data set monitoring.

Data Science 98

Data Science Machine Learning Neural Network Automation 98

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.

Deep Learning 52

Deep Learning Neural Network Computer Vision Natural Language Processing 52

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. The neural network perceives an image, and generates a sequence of tokens for each object, which correspond to bounding boxes and class labels.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

Pickl AI

JULY 14, 2023

The following blog will emphasise on what the future of AI looks like in the next 5 years. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Unite.AI

JANUARY 23, 2024

Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. Powerful approximate nearest neighbor algorithms like HNSW , LSH and PQ enable fast semantic search even with billions of documents. Responsible AI tooling remains an active area of innovation.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Dlabs.ai

MARCH 17, 2021

He focuses his efforts on understanding and developing new ideas around machine learning, neural networks, and reinforcement learning. Now, it’s hard to believe that his interest in AI started through playing video games. He’s a Principal Scientist at Google DeepMind and Team Lead of the Deep Learning group.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 92

ODSC - Open Data Science

MARCH 11, 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. They are 2B parameters and trained on 12 million hours of speech.

Neural Network 52

Neural Network Data Science Robotics Algorithm 52

TransOrg Analytics

FEBRUARY 11, 2025

A key subset of AI is Machine Learning (ML), which powers many of these experiences by identifying patterns and making predictions based on large volumes of datawithout explicit programming. However, complex ML algorithms can often function as black boxes , producing outcomes without clear insights into how decisions were made.

Explainable AI 52

Explainable AI Explainability Convolutional Neural Networks Neural Network 52

ODSC - Open Data Science

FEBRUARY 9, 2024

However, generative artificial intelligence (AI) can generate a wide variety of data types: images, voices, videos, and even protein structures. Generative AI involves training large neural networks on input data such that new data can be generated upon request.

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Generative AI Algorithm Data Science Neural Network 52

AI Impacts

FEBRUARY 1, 2023

For a typical example, here is a diagram from a US Department of Defense report on responsible AI: 3 The system in this diagram is not formally evaluated for safety or performance until after “Acquisition/Development” 4 I do not find it surprising that this model is so common. 3 DoD Responsible AI Working Council (U.S.).

AI 130

AI AI OpenAI Large Language Models 130

Pickl AI

DECEMBER 16, 2024

GPUs, TPUs, and AI frameworks like TensorFlow drive computational efficiency and scalability. Technical expertise and domain knowledge enable effective AI system design and deployment. Transparency, fairness, and adherence to privacy laws ensure responsible AI use. Data Data is the lifeblood of AI systems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

Google Research AI blog

FEBRUARY 2, 2023

With the increasing sophistication of the algorithms and hardware in use today and with the scale at which they run, the complexity of the software necessary to carry out day-to-day tasks only increases. NaaS goes even further by searching for neural network architectures and hardware architectures together.

ML 72

ML Neural Network Algorithm Automation 72

Pickl AI

FEBRUARY 26, 2024

From automating mundane tasks to driving complex decision-making processes, AI embodies the epitome of innovation. Exploring the depths Artificial Intelligence encompasses a spectrum of technologies designed to simulate human intelligence, ranging from machine learning algorithms to neural networks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

ODSC - Open Data Science

OCTOBER 13, 2023

At ODSC West this October 30th to November 2nd, we’re excited to have some of the best and brightest in AI acting as our keynote speakers this year. Chelsea Finn, PhD Assistant Professor | Stanford University | In-Person | Session: Neural Networks Make Stuff Up. Here’s a bit more on each of them. What Should We do About it?

Robotics 52

Robotics Data Science Artificial Intelligence Artificial Intelligence 52

Viso.ai

DECEMBER 18, 2023

The algorithm then generates new data points that follow the same statistical patterns. Then, we implement algorithms such as iterative proportional fitting (IPF) or combinatorial optimization. Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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

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. These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

ODSC - Open Data Science

FEBRUARY 25, 2025

Machine Learning TrackDeepen Your ML Expertise Machine learning remains the backbone of AI innovation. This track is designed to help practitioners strengthen their ML foundations while exploring advanced algorithms and deployment techniques. This track will guide you in aligning AI systems with ethical standards and minimizing bias.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

Pickl AI

SEPTEMBER 17, 2024

This is where AI steps in, offering advanced capabilities in threat detection, prevention, and response. By leveraging Machine Learning algorithms and predictive analytics, AI-powered cybersecurity solutions can proactively identify and mitigate risks, providing a more robust and adaptive defence against cyber criminals.

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Machine Learning IDP Algorithm AI 52