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.

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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

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Large Language Models Natural Language Processing NLP Responsible AI 122

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.

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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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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?

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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,

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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.

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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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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.

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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.

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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?

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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.

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AI Modeling Large Language Models Natural Language Processing AI 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].

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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.

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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?

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

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.

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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.

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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.

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Metadata Explainability Automation Explainable AI 244

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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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.

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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.

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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.

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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.

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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

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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.

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LLM Large Language Models AI Research AI Researcher 76

John Snow Labs

AUGUST 28, 2023

Introduction As the field of Natural Language Processing (NLP) progresses, the deployment of Language Models (LMs) has become increasingly widespread. This pipeline offers three advantages: comprehensive bias detection , data-driven bias mitigation , and iterative improvement.

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Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. Vertex AI Studio: Learn how to use Vertex AI Studio for developing and deploying generative AI models.

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

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Viso.ai

DECEMBER 20, 2023

At its core, the MindSpore open-source project is a solution that combines ease of development with advanced capabilities. It accelerates AI research and prototype development. The integrated approach promotes collaboration, innovation, and responsible AI practices with deep learning algorithms.

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AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. The relevant information is then provided to the LLM for final response generation. Development: Getting the data ready As with any data-driven project, performance will only ever be as good as the data.

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Pickl AI

JULY 18, 2023

Model Selection and Optimization Identifying appropriate machine learning models and techniques, fine-tuning parameters, and optimizing the performance of AI systems. Develop Programming Skills Master programming languages such as Python, R, or Java, which are widely used in AI development.

AI Architect 52

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Chatbots Life

APRIL 19, 2024

They are followed by marketing and sales (42%), and customer service (40%); 64% expect it to confer a competitive advantage; By 2026, companies focusing on responsible AI could enhance business goal achievement and user acceptance by 50% ; Artificial intelligence disruption may increase global labor productivity by 1.5%-3.0%

Generative AI 52

Generative AI Software Engineer Chatbots Artificial Intelligence 52

Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Applications of Synthetic Data in Artificial Intelligence and Machine Learning Synthetic data can train and test models for computer vision (CV), natural language processing (NLP), speech recognition, and more.

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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.

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Automation Responsible AI Generative AI Software Development 91

John Snow Labs

OCTOBER 19, 2023

Imagine asking your AI assistant about a contentious political issue, and it effortlessly mirrors your beliefs, regardless of the facts. It’s a phenomenon called sycophancy , and it’s a thorn in the side of AI development. Sound familiar? But fret not, for this blog post unveils a powerful antidote to this frustrating issue.

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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. The two latest examples are Open AI’s ChatGPT-4 and Meta’s latest Llama 3. These techniques include clearly documenting model training processes and implementing interpretability tools.

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Marktechpost

AUGUST 25, 2024

In natural language processing, for instance, the model’s lightweight nature allows it to be deployed on mobile devices, enabling real-time language translation, sentiment analysis, and other language-related tasks without needing a constant internet connection or access to powerful servers.

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