AWS Machine Learning Blog

MARCH 18, 2025

The underlying operating system and software stack are based on the Deep Learning AMI, preconfigured with NVIDIA CUDA, NVIDIA cuDNN, and the latest versions of PyTorch and TensorFlow. This capability is essential across sectors like healthcare, finance, and autonomous systems, where timely, accurate AI inferences are critical.

Machine Learning 104

Machine Learning AI AI ML 104

Unite.AI

JUNE 13, 2023

Continuous learning: GitHub Copilot learns from your coding style and habits, delivering personalized suggestions that improve over time. Cody by Sourcegraph Cody is another AI-driven coding assistant, this one developed by Sourcegraph. AI2sql features an intuitive interface that encourages user interaction.

Auto-complete 258

Auto-complete Deep Learning AI AI 258

Unite.AI

SEPTEMBER 4, 2024

By leveraging deep learning and advanced optimization techniques, Aarki delivers superior performance while maintaining a strong focus on privacy and fraud prevention. ML-driven Creative Targeting™: For each cohort, we use machine learning in collaboration with our creative team to devise optimal creative strategies.

Neural Network 261

Neural Network Machine Learning ML Continuous Learning 261

Unite.AI

JULY 1, 2024

For example, AI models used in medical diagnoses must be thoroughly audited to prevent misdiagnosis and ensure patient safety. Another critical aspect of AI auditing is bias mitigation. AI models can perpetuate biases from their training data, leading to unfair outcomes.

Explainability 182

Explainability BERT AI AI 182

IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Viso.ai

MARCH 26, 2024

Attention mechanisms allow artificial intelligence (AI) models to dynamically focus on individual elements within visual data. This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). This mimics the way humans concentrate on specific visual elements at a time.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Unite.AI

JULY 31, 2023

This approach is known as self-supervised learning , and it’s one of the most efficient methods to build ML and AI models that have the “ common sense ” or background knowledge to solve problems that are beyond the capabilities of AI models today. It’s precisely the question that the SEER model aims to answer.

Computer Vision 246

Computer Vision Metadata Natural Language Processing ML 246

Unite.AI

OCTOBER 25, 2024

Gong Gong has established itself as a leading Revenue Intelligence platform and AI SDR, leveraging advanced AI technology specifically designed for revenue teams. The platform's sophisticated approach to sales intelligence is built on over 40 proprietary AI models, trained on billions of high-quality sales interactions.

Automation 147

Automation Artificial Intelligence Artificial Intelligence AI 147

NVIDIA

MARCH 18, 2024

Unveiled at NVIDIA GTC , the global AI conference taking place March 18-21 in San Jose, Calif., and online, this work could also facilitate the deployment of third-party models and applications developed across the digital surgery ecosystem by providing a common AI compute platform. “AI

Continuous Learning 117

Continuous Learning AI Modeling Chatbots Algorithm 117

NYU Center for Data Science

SEPTEMBER 28, 2023

This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing. Linzen, for example, is interested in how human language works, which will never be solved simply by developing ever-more-sophisticated AI models.

Machine Learning 98

Machine Learning NLP ML Data Science 98

Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. Learning Context-aware, continuous learning.

Neural Network 107

Neural Network Convolutional Neural Networks Natural Language Processing Algorithm 107

TheSequence

JUNE 4, 2023

Currently, there are three key areas in LLM research that have the potential to have a "RLHF effect" in the next generation of models: Chain of Thought Reasoning: Techniques that simulate reasoning by breaking tasks into smaller steps. Continual Learning: Techniques that regularly update the knowledge in LLMs. announced a $6.6

LLM 96

LLM ML ChatGPT Deep Learning 96

ODSC - Open Data Science

MAY 21, 2024

At ODSC Europe 2024, you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, RAGs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Continuous Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 23, 2024

The incorporation of continuous learning enables the model training to automatically adapt and learn from new challenging scenarios as they arise. This self-improving capability helps ensure the system maintains high performance, even as shopping environments continue to evolve.

Neural Network 83

Neural Network AI AI Algorithm 83

Pickl AI

APRIL 19, 2024

Select the right learning path tailored to your goals and preferences. Engage in practical projects, seek mentorship, and join AI communities for support and guidance. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

AWS Machine Learning Blog

OCTOBER 2, 2024

This allows enterprises to track key performance indicators (KPIs) for their generative AI models, such as I/O volumes, latency, and error rates. Opensearch Dashboards provides powerful search and analytical capabilities, allowing teams to dive deeper into generative AI model behavior, user interactions, and system-wide metrics.

Generative AI 115

Generative AI Data Ingestion AI AI 115

Pickl AI

OCTOBER 20, 2024

Step-by-Step Guide to Learning AI in 2024 Learning AI can seem daunting at first, but by following a structured approach, you can build a solid foundation and gain the skills needed to thrive in this field. This step-by-step guide will take you through the critical stages of learning AI from scratch.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

PyImageSearch

DECEMBER 11, 2023

Community Focus: Training and Building AI/ML Ecosystems The community’s focus was equally impressive, emphasizing training AI/ML developers and building robust communities. The emphasis was on its philosophy, “Deep Learning for Humans,” making advanced concepts accessible to a broader audience.

ML 60

ML Deep Learning Machine Learning Chatbots 60

ODSC - Open Data Science

JANUARY 3, 2025

Given the increasing demand for advanced AI skills across multiple domains, it is essential to stay ahead by committing to continuous learning and building a strong foundation in the latest technologies. Thats why ODSCs AI+ Training platform is the perfect starting point, no matter your skilllevel.

Deep Learning 40

Deep Learning Data Scientist Machine Learning Large Language Models 40

Flipboard

DECEMBER 13, 2024

Faster deployment With domain adaptation, specialized AI models can be developed and deployed more quickly, accelerating time to market for AI-powered solutions. AWS has been at the forefront of domain adaptation, creating a framework to allow creating powerful, specialized AI models.

Generative AI 129

Generative AI AI AI Machine Learning 129

Pickl AI

JULY 18, 2023

AI Architect: While AI Engineers and AI Architects are both involved in the development of AI systems, there are notable distinctions between their roles. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

AI Architect 52

AI Architect AI Engineer Machine Learning Data Scientist 52

Bugra Akyildiz

JUNE 9, 2024

Articles Epoch AI wrote a very comprehensive survey like blog post on the compute trends across all of the foundational models and key trends in compute. The compute used to train recent AI models has grown at a staggering rate of 4-5x per year from 2010 to May 2024. deep learning) itself.

Deep Learning 40

Deep Learning Algorithm DevOps Data Science 40

Viso.ai

JANUARY 2, 2024

In this article, we’ll discuss: What Llama 2 is and how it differs from its predecessor Model architecture and development details Llama 2 use cases and examples Benefits and challenges compared to alternatives Lllama fine-tuning tips for downstream tasks About us: Viso.ai Get a demo. What is Llama 2?

Deep Learning 52

Deep Learning Large Language Models Computer Vision Neural Network 52

Pickl AI

SEPTEMBER 23, 2024

AI, particularly Machine Learning and Deep Learning uses these insights to develop intelligent models that can predict outcomes, automate processes, and adapt to new information. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

AUGUST 2, 2023

ChatGPT is an advanced language model that uses deep learning techniques to process text and generate responses. The model then fine-tunes specific datasets to optimize its performance for various applications, such as customer support, creative writing, or educational purposes. What is ChatGPT? How ChatGPT Works?

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

Pickl AI

DECEMBER 16, 2024

This blog aims to help you navigate this growth by addressing key enablers of AI development. Key Takeaways Reliable, diverse, and preprocessed data is critical for accurate AI model training. GPUs, TPUs, and AI frameworks like TensorFlow drive computational efficiency and scalability.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

Pickl AI

OCTOBER 28, 2024

This includes designing algorithms, building Machine Learning models, and integrating AI solutions into existing systems. Key Responsibilities: Designing AI Models: Creating algorithms that enable machines to learn from data and make decisions.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Engineer Machine Learning 52

Pickl AI

SEPTEMBER 26, 2024

Collaboration with Cross-Functional Teams : AI strategists often work closely with data scientists, IT specialists, product managers, and executives to implement AI solutions effectively. Choose the Right AI Technologies Research and select the appropriate AI technologies (e.g.,

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Strategy Machine Learning 52

Viso.ai

APRIL 4, 2024

These phenomena manifest when certain factors alter the statistical properties of model inputs or outputs. In most cases, this necessitates updating the model to account for this “model drift” to preserve accuracy. This helps prevent false positives and accelerates the detection so that it happens sooner.

Data Drift 52

Data Drift Computer Vision Machine Learning Algorithm 52

Viso.ai

APRIL 25, 2024

Bias Detection in Computer Vision: A Guide to Types and Origins Artificial Intelligence (AI) bias detection generally refers to detecting systematic errors or prejudices in AI models that amplify societal biases, leading to unfair or discriminatory outcomes.

Computer Vision 52

Computer Vision Categorization Algorithm Machine Learning 52

Chatbots Life

APRIL 19, 2024

Music Generation Generative AI is revolutionizing music creation. These AI models can mimic human voices and generate music. Traditionally, such models processed information from single modalities, limiting insights. However, multimodal deep learning allows models to discern relationships between different modalities.

Generative AI 52

Generative AI Software Engineer Chatbots Artificial Intelligence 52

ODSC - Open Data Science

DECEMBER 19, 2024

These sophisticated systems transcend the limitations of conventional programmed instructions, instead leveraging advanced algorithms and machine learning techniques to exhibit reasoning capabilities, adaptability, and continuous learning from diverse information streams.

Natural Language Processing 40

Natural Language Processing Data Mining NLP Automation 40

DataRobot Blog

DECEMBER 20, 2022

Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events. Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling. Predicting the Real Estate Asset’s Price Using DataRobot.

Explainability 59

Explainability Automation Machine Learning Data Scientist 59

Viso.ai

MARCH 27, 2024

This will allow you to continue learning while leveling up your experience. Train Some Easy Machine Learning Models (Reproduce Tutorials and Exercises) You can try to train and test several popular and basic ML models on the platform.

Computer Vision 52

Computer Vision Data Science Data Scientist Machine Learning 52

John Snow Labs

JUNE 27, 2023

What are Large Language Models (LLMs)? Large language models (LLMs) are precisely that – advanced AI models designed to process, understand, and generate natural language in a way that mimics human cognitive capabilities. How do Large Language models (LLMs) work?

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

NVIDIA

DECEMBER 5, 2024

Now, hear from company experts driving innovation in AI across enterprises, research and the startup ecosystem: IAN BUCK Vice President of Hyperscale and HPC Inference drives the AI charge: As AI models grow in size and complexity, the demand for efficient inference solutions will increase.

Generative AI 105

Generative AI Robotics AI AI 105