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Artificial Intelligence ML Natural Language Processing 
AI News
APRIL 8, 2024
The popular ML Olympiad is back for its third round with over 20 community-hosted machine learning competitions on Kaggle. This year’s lineup includes challenges spanning areas like healthcare, sustainability, natural language processing (NLP), computer vision, and more.
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Analytics Vidhya
MAY 1, 2023
Introduction You call artificial intelligence and machine learning magic. While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.
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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)
The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies
AI News
JUNE 28, 2023
In this week’s round-up, we share the top 10 ways AI and ML technologies are transforming the world’s data centres, driving efficiencies and sustainability Across the world’s industries, AI and ML are enabling a huge degree of transformation. Alongside this, the models can identify the optimum conditions and WUE for a data centre.
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Analytics Vidhya
SEPTEMBER 27, 2023
Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses.
IBM Journey to AI blog
JANUARY 10, 2024
Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.
IBM Journey to AI blog
OCTOBER 9, 2023
Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. Cybersecurity: AI is susceptible to hacking, especially during the training pipeline where ML algorithms are created.
Marktechpost
MAY 3, 2024
Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis.
AI News
JULY 28, 2023
According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.
245 
Marktechpost
OCTOBER 25, 2024
Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.
Unite.AI
OCTOBER 27, 2024
As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js Key Features: Hardware-accelerated ML operations using WebGL and Node.js environments.
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Marktechpost
MARCH 28, 2024
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. The author talks about machine intelligence’s historical background and provides beginners with information on how advanced algorithms work.
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 includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow.
Marktechpost
AUGUST 31, 2024
This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications appeared first on MarkTechPost.
Marktechpost
APRIL 8, 2024
OpenAI OpenAI, known for its revolutionary GPT AI models, excels in advanced natural language processing and generative AI tasks. OpenAI Pros: Unmatched natural language processing capabilities make it highly effective for creative writing, customer service, and more.
Unite.AI
FEBRUARY 21, 2025
Plus, natural language processing (NLP) and AI-driven search capabilities help businesses better understand user intent, enabling them to optimize product descriptions and attributes to match how customers actually search. What AI-driven personalization strategies can brands implement to enhance customer experiences?
AI News
FEBRUARY 17, 2025
Intelligent document processing is an AI-powered technology that automates the extraction, classification, and verification of data from documents.
262 
Marktechpost
APRIL 7, 2024
The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal foundation models. These models, which include GPT4V, Claude, and Gemini, combine visual encoders and LLMs.
Marktechpost
MARCH 30, 2024
Vision Language Models (VLMs) emerge as a result of a unique integration of Computer Vision (CV) and Natural Language Processing (NLP). Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.
AI Weekly
JULY 13, 2023
In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi
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Unite.AI
SEPTEMBER 21, 2023
The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. What is Artificial Intelligence (AI)? Artificial intelligence enables computer programs to mimic human intelligence.
Analytics Vidhya
APRIL 19, 2023
OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.
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Marktechpost
MARCH 24, 2024
Large language models have revolutionized natural language processing, providing machines with human-like language abilities. ’ This limitation poses a significant challenge in the pursuit of truly intelligent systems. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.
AI News
SEPTEMBER 5, 2024
With artificial intelligence continuing to permeate a growing number of sectors, there is no telling what this market will be worth in the next decade or so. In this broader landscape, the market for intelligent virtual assistants (IVAs) has witnessed its own remarkable expansion, valued at around $3.24 through to 2032.
Marktechpost
NOVEMBER 16, 2024
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. The author talks about machine intelligence’s historical background and provides beginners with information on how advanced algorithms work.
IBM Journey to AI blog
AUGUST 12, 2024
Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.
266 
Unite.AI
SEPTEMBER 15, 2023
Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.
Marktechpost
JANUARY 20, 2025
The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. This research marks a major milestone in biomedical natural language processing. Dont Forget to join our 65k+ ML SubReddit.
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Marktechpost
NOVEMBER 19, 2024
Despite advances in image and text-based AI research, the audio domain lags due to the absence of comprehensive datasets comparable to those available for computer vision or natural language processing. Don’t Forget to join our 55k+ ML SubReddit. Check out the Details and Dataset on Hugging Face.
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Marktechpost
MARCH 3, 2024
The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry.
AWS Machine Learning Blog
NOVEMBER 25, 2024
You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text. In his free time, he enjoys traveling and dancing.
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Marktechpost
MAY 3, 2024
There has been rapid growth in the open-source landscape for Large Language Models (LLMs) after the release of the Llama3 model and its successor, Llama 2, by Meta in 2023. These models have played an important role in this dynamic field by influencing natural language processing (NLP) significantly.
Unite.AI
JULY 11, 2023
The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. billion in 2023.
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Marktechpost
SEPTEMBER 22, 2024
In artificial intelligence and natural language processing, long-context reasoning has emerged as a crucial area of research. As the volume of information that needs to be processed grows, machines must be able to synthesize and extract relevant data from massive datasets efficiently.
Marktechpost
MARCH 2, 2024
The currently existing techniques for instruction tuning frequently rely on Natural Language Processing (NLP) datasets, which are scarce, or self-instruct approaches that produce artificial datasets having difficulty with diversity. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.
Marktechpost
FEBRUARY 3, 2024
In the dynamic field of Artificial Intelligence (AI), the trajectory from one foundational model to another has represented an amazing paradigm shift. However, this strategy has a problem as byte-level processing results in substantially longer sequences than token-level modeling. While requiring 2.2
AI News
OCTOBER 15, 2024
Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.
291 
IBM Journey to AI blog
NOVEMBER 13, 2023
AI and machine learning Building and deploying artificial intelligence (AI) and machine learning (ML) systems requires huge volumes of data and complex processes like high performance computing and big data analysis.
323 
Unite.AI
FEBRUARY 7, 2024
Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.
294 
Unite.AI
JANUARY 3, 2025
As artificial intelligence (AI) continues to break new ground in HR, it is enjoying growing acceptance. With the increasing integration of machine learning (ML), natural language processing (NLP), and other AI technologies, were witnessing a visible, favorable shift toward smarter, more efficient ways of working.
100 
Unite.AI
JANUARY 15, 2025
Natural Language Processing (NLP) : Leveraging unstructured data, such as news articles and social media posts, to identify trends and risks. Other advanced techniques include: Gradient Boosting : Combining weak predictive models into a strong, accurate prediction.
130 
AWS Machine Learning Blog
NOVEMBER 13, 2024
By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.
133 
Marktechpost
JANUARY 18, 2025
Vision-language models (VLMs) represent an advanced field within artificial intelligence, integrating computer vision and natural language processing to handle multimodal data. Dont Forget to join our 65k+ ML SubReddit. All credit for this research goes to the researchers of this project.
IBM Journey to AI blog
DECEMBER 20, 2023
Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?
224 
AWS Machine Learning Blog
NOVEMBER 29, 2024
22.03% The consistent improvements across different tasks highlight the robustness and effectiveness of Prompt Optimization in enhancing prompt performance for various natural language processing (NLP) tasks. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.
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