AWS Machine Learning Blog

NOVEMBER 19, 2024

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

Automation 107

Automation Responsible AI Generative AI Software Development 107

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This could redefine how knowledge transfer and innovation occur.

Large Language Models 297

Large Language Models Artificial Intelligence Artificial Intelligence AI 297

IBM Journey to AI blog

JANUARY 15, 2024

Tasks such as contract writing and management, which are both time-consuming and crucial, might greatly benefit from the application of generative AI. Last year, the US Department of State sought feedback on the challenges and security considerations of introducing generative and natural language processing AI into its network.

Generative AI 200

Generative AI Responsible AI Neural Network Natural Language Processing 200

Unite.AI

MARCH 27, 2024

AI: From Origin to Future The journey of AI traces back to visionaries like Alan Turing and John McCarthy , who conceptualized machines capable of learning and reasoning. Milestones such as IBM's Deep Blue defeating chess grandmaster Garry Kasparov in 1997 demonstrated AI’s computational capabilities.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278

AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. at Language Technologies Institute, Carnegie Mellon University. Prior to Amazon, Evangelia completed her Ph.D.

Generative AI 89

Generative AI Responsible AI Automation LLM 89

Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Transparency is fundamental for responsible AI usage.

Composite AI 182

Composite AI Explainability Black Box AI Neural Network 182

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.

Machine Learning 223

Machine Learning NLP AI AI 223

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineering 122

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.

ChatGPT 170

ChatGPT Chatbots Natural Language Processing AI Chatbots 170

Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5

Large Language Models 117

Large Language Models Natural Language Processing NLP Responsible AI 117

Unite.AI

JULY 1, 2024

At the core of Seekr's technology is an independent search engine, powered by proprietary AI and utilizing natural language processing (NLP) to produce a Seekr Score and Political Lean Indicator. It allows enterprises to leverage their data securely, to rapidly develop AI they can rely on optimized for their industry.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

AWS Machine Learning Blog

FEBRUARY 21, 2025

By implementing this technique, organizations can improve response accuracy, reduce response times, and lower costs. Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications.

LLM 111

LLM Large Language Models Natural Language Processing Machine Learning 111

IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Open-source projects, academic institutions, startups and legacy tech companies all contributed to the development of foundation models.

Metadata 220

Metadata Explainability Automation Explainable AI 220

Unite.AI

SEPTEMBER 7, 2023

From spreading misinformation to facilitating unauthorized access, the fallout from these vulnerabilities underscores the critical need for responsible AI development. Developers, researchers, and policymakers must collaborate to establish robust safeguards against potential harm. Want to enhance your AI IQ?

LLM 173

LLM Large Language Models Prompt Engineer Prompt Engineering 173

Marktechpost

SEPTEMBER 3, 2024

Key Features and Capabilities of miniG One of the most remarkable aspects of miniG is its ability to perform complex language tasks with impressive accuracy. It excels in natural language processing (NLP) tasks such as text generation, sentiment analysis, translation, and summarization.

Natural Language Processing 111

Natural Language Processing Responsible AI AI AI 111

Marktechpost

AUGUST 9, 2024

introduces advanced natural language processing (NLP) capabilities. These enhancements allow the AI to understand and interpret human language better, making interactions with the AI more intuitive and seamless. AI Ethics and Responsible Innovation In developing EXAONE 3.0,

AI Researcher 107

AI Researcher AI Research NLP Natural Language Processing 107

NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

Responsible AI 98

Responsible AI Large Language Models Algorithm Natural Language Processing 98

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.

Generative AI 189

Generative AI Neural Network ChatGPT Conversational AI 189

AWS Machine Learning Blog

JANUARY 29, 2025

Decentralized model In a decentralized approach, generative AI development and deployment are initiated and managed by the individual LOBs themselves. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

Generative AI 80

Generative AI AI AI Large Language Models 80

Unite.AI

OCTOBER 22, 2024

Together, they provide a balanced approach to creating high-quality training data for AI. The EU AI Act and other global regulations are shaping the ethical standards around AI development. How do you see these regulations influencing Appen’s operations and the broader AI industry moving forward?

Natural Language Processing 130

Natural Language Processing Generative AI Computer Vision Data Quality 130

Marktechpost

SEPTEMBER 23, 2024

MMMLU’s multitasking nature pushes the boundaries of existing benchmarks by assessing the same model across various tasks, from trivia-like factual recall to complex reasoning and problem-solving. This will likely spur further innovations in developing multilingual models that simultaneously understand and process multiple languages.

OpenAI 120

OpenAI NLP Natural Language Processing Large Language Models 120

Towards AI

JULY 27, 2024

While ChatGPT struggles to process and keep track of information in long conversations, Claude’s context window is huge (spanning up to 150 pages), which helps users to do more coherent and consistent conversations, especially when it comes to long documents. To excel in this career path, it is also recommended to pursue an AI certification.

ChatGPT 119

ChatGPT Prompt Engineering Prompt Engineer Explainability 119

Unite.AI

AUGUST 28, 2024

Language models has witnessed rapid advancements, with Transformer-based architectures leading the charge in natural language processing. AI Development Frameworks: Integration with popular frameworks like LangChain and LlamaIndex (upcoming). A New Chapter in AI Development?

Large Language Models 130

Large Language Models NLP Natural Language Processing Responsible AI 130

Marktechpost

AUGUST 22, 2024

Like many large language models, it was trained on data that may contain toxic language and societal biases. As a result, there is a risk that the model could amplify these biases or produce inappropriate responses. Conclusion NVIDIA introduced the Mistral-NeMo-Minitron 8B by using width-pruning and knowledge distillation.

AI Modeling 103

AI Modeling Large Language Models Natural Language Processing AI 103

Towards AI

FEBRUARY 14, 2023

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. OpenAI, on the other hand, is an AI research laboratory that was founded in 2015.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 98

Towards AI

JANUARY 6, 2025

Artificial Intelligence graduate certificate by STANFORD SCHOOL OF ENGINEERING Artificial Intelligence graduate certificate; taught by Andrew Ng, and other eminent AI prodigies; is a popular course that dives deep into the principles and methodologies of AI and related fields.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

Towards AI

OCTOBER 19, 2024

Techniques for Peering into the AI Mind Scientists and researchers have developed several techniques to make AI more explainable: 1. Model Attention: Helps us understand which parts of the input data the AI focuses on most. It’s particularly useful in natural language processing [3].

Explainability 105

Explainability Explainable AI Natural Language Processing Prompt Engineer 105

Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

LLM 106

LLM Large Language Models Natural Language Processing Artificial Intelligence 106

Marktechpost

DECEMBER 4, 2024

AI2 has also demonstrated its commitment to the ethical development of AI through initiatives like the Impact License Project (ImpACT), introduced in August 2023. These licenses promote transparency, accountability, and collaboration in AI development, aligning technological advancements with societal well-being.

Natural Language Processing 60

Natural Language Processing Artificial Intelligence Artificial Intelligence Large Language Models 60

How to Learn Machine Learning

JULY 20, 2024

Generative AI solutions gained popularity with the launch of ChatGPT, developed by OpenAI, in 2023. Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users.

Generative AI 64

Generative AI Machine Learning Deep Learning Natural Language Processing 64

Allen AI

FEBRUARY 1, 2024

This work was made possible, in part, via a collaboration with the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University and partners including AMD , CSC ( Lumi Supercomputer ), the Paul G. Allen School of Computer Science & Engineering at the University of Washington and Databricks.

LLM 76

LLM Large Language Models AI Researcher AI Research 76

TensorFlow

MAY 10, 2023

Apply ML to vision and text with Keras Lots of developers are exploring AI technologies and many of you are interested in working on computer vision and natural language processing applications. Keras released new, easy-to-use libraries for computer vision and natural language processing with KerasCV and KerasNLP.

Machine Learning 52

Machine Learning Large Language Models ML 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.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

John Snow Labs

OCTOBER 19, 2023

Natural Language Processing (NLP) models rely heavily on bias to function effectively. To mitigate ethnic and racial bias, it is essential to diversify the training data, include underrepresented groups, and employ techniques like adversarial training to reduce biased language generation.

NLP 52

NLP Natural Language Processing Machine Learning AI 52