Unite.AI

MARCH 24, 2024

This development suggests a future where AI can more closely mimic human-like learning and communication, opening doors to applications that require such dynamic interactivity and adaptability. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

NLP 111

NLP Data Science Deep Learning BERT 111

Unite.AI

DECEMBER 19, 2024

“The current paper is very limited for benchmarking, and even in Natural Language Processing (NLP), it took a considerable amount of time for LLMs to be perfected for the real world. It will be a huge exercise to generalize for the 8.2 billion population with a limited lab environment, Ram Palaniappan , CTO of TEKsystems , told me.

Robotics 218

Robotics Deep Learning AI AI 218

Explosion

AUGUST 14, 2024

In this interview with Hugo Bowne-Anderson, we delve into the forefront of NLP and the future of AI development, covering topics like human-in-the-loop distillation, open-source AI and Explosion’s journey.

NLP 92

NLP AI Developer AI Development AI 92

Unite.AI

DECEMBER 20, 2024

The Capabilities of Hunyuan-Large Hunyuan-Large is a significant advancement in AI technology. Built using the Transformer architecture, which has already proven successful in a range of Natural Language Processing (NLP) tasks, this model is prominent due to its use of the MoE model. Its applications are wide-ranging.

AI Modeling 130

AI Modeling Natural Language Processing Data Analysis NLP 130

Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 For NLP focused content, start on page 62. The Crow’s Nest Hey Welcome back! Repo Cypher ?‍?

NLP 98

NLP Neural Network Natural Language Processing Machine Learning 98

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Towards AI

OCTOBER 31, 2024

If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Golden_leaves68731 is a senior AI developer looking for a non-technical co-founder to join their venture. If this sounds like you, reach out in the thread!

LLM 116

LLM NLP BERT Large Language Models 116

Unite.AI

NOVEMBER 11, 2024

At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets. However, ethical considerations must also be considered, particularly regarding privacy, data security, and the potential misuse of AI in sensitive contexts. They process and generate text that mimics human communication.

LLM 176

LLM Large Language Models Natural Language Processing BERT 176

Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. The average cost of a data breach in financial services is $4.45

Explainable AI 135

Explainable AI AI AI Natural Language Processing 135

AI News

JUNE 27, 2023

When used ethically and responsibly, AI can be a force for good, addressing societal challenges, improving efficiency, and enhancing human well-being.

Big Data 271

Big Data Responsible AI Deep Learning Artificial Intelligence 271

Marktechpost

OCTOBER 4, 2024

By integrating this method with Azure OpenAI’s robust capabilities, Microsoft offers a highly versatile solution to improve model output and resource utilization across various NLP tasks. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

NLP 103

NLP OpenAI Data Extraction Chatbots 103

AI Weekly

OCTOBER 19, 2023

clkmg.com In The News The BBC is blocking OpenAI data scraping The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

Robotics 263

Robotics Deep Learning Data Scientist Artificial Intelligence 263

Towards AI

DECEMBER 16, 2024

Multi-Modal Applications: Combine with NLP models to create AI assistants that interpret both text and images. Key Contributions: Frameworks for fairness in multi-modal AI. How You Can Use It: Healthcare AI: Develop models for diagnosis or treatment recommendations, ensuring fairness across demographic groups.

AI Researcher 111

AI Researcher AI Research Computer Vision Neural Network 111

Unite.AI

AUGUST 19, 2023

. “Inclusion and representation in the advancement of language technology is not a patch you put at the end — it's something you think about up front,” she states, pointing out the undue scarcity of AI tools for African languages. The lesser data available, the less efficient the AI tool becomes.

AI Tools 246

AI Tools Natural Language Processing Software Engineer NLP 246

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). The focus would be on developing AI systems that can reason ethically and align with societal values.

Large Language Models 292

Large Language Models Artificial Intelligence Artificial Intelligence AI 292

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. While effective in various NLP tasks, few LLMs, such as Flan-T5, adopt this architecture.

Large Language Models 272

Large Language Models Prompt Engineer Prompt Engineering Neural Network 272

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. Notable acquisitions include companies like Xnor.a

Machine Learning 219

Machine Learning NLP AI AI 219

Explosion

AUGUST 14, 2024

In this interview with Hugo Bowne-Anderson, we delve into the forefront of NLP and the future of AI development, covering topics like human-in-the-loop distillation, open-source AI and Explosion’s journey.

NLP 59

NLP AI Developer AI Development AI 59

Towards AI

APRIL 5, 2023

Join thousands of data leaders on the AI newsletter. Hinton, a British-Canadian computer scientist and cognitive psychologist, is considered… Read the full blog for free on Medium.

Computer Scientist 98

Computer Scientist Natural Language Processing AI Development AI Developer 98

Unite.AI

FEBRUARY 11, 2025

Based on the latest research trends, the next frontier to address this issue is theemergence of large concept models (LCMs) as a new, ground-breaking architecture competing with LLMs in their core domain, which is natural language understanding (NLP).

Large Language Models 129

Large Language Models LLM OpenAI NLP 129

Unite.AI

JANUARY 28, 2025

While it slightly lags in mathematics and reasoning-specific tasks, OpenAI o1 compensates with its speed and adaptability in NLP applications. For example, it excels in text summarization, question-answering, and creative writing, making it suitable for businesses with varied AI requirements.

OpenAI 144

OpenAI Natural Language Processing Explainable AI Explainability 144

Snorkel AI

OCTOBER 9, 2024

We’re excited to announce new natural language processing (NLP) features in Snorkel Flow’s 2024.R3 NLP is vital for our customers—it’s key to extracting insights from unstructured and structured text, and the first step to unlocking enterprise AI at scale. Building the future of NLP with Snorkel Flow With the 2024.R3

NLP 52

NLP Data Scientist Natural Language Processing Large Language Models 52

Unite.AI

FEBRUARY 26, 2025

AI development is evolving unprecedentedly, demanding more power, efficiency, and flexibility. With the global AI market projected to reach $1.8 trillion by 2030 , machine learning brings innovations across industries, from healthcare and autonomous systems to creative AI and advanced analytics.

Deep Learning 162

Deep Learning Large Language Models AI AI 162

Unite.AI

SEPTEMBER 18, 2023

NLP in particular has been a subfield that has been focussed heavily in the past few years that has resulted in the development of some top-notch LLMs like GPT and BERT. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

Deep Learning 318

Deep Learning Artificial Intelligence Artificial Intelligence AI 318

Snorkel AI

OCTOBER 9, 2024

R3 update to our Snorkel Flow AI data development platform streamlines data-centric workflows, from easier-than-ever generative AI evaluation to multi-schema annotation. Revolutionizing generative AI development One of the biggest highlights of R3 is the introduction of Snorkel’s GenAI Evaluation Suite.

AI Developer 52

AI Developer AI Development NLP LLM 52

Unite.AI

MARCH 27, 2024

Milestones such as IBM's Deep Blue defeating chess grandmaster Garry Kasparov in 1997 demonstrated AI’s computational capabilities. Moreover, breakthroughs in natural language processing (NLP) and computer vision have transformed human-computer interaction and empowered AI to discern faces, objects, and scenes with unprecedented accuracy.

Natural Language Processing 274

Natural Language Processing AI AI Algorithm 274

Snorkel AI

OCTOBER 9, 2024

R3 update to our Snorkel Flow AI data development platform streamlines data-centric workflows, from easier-than-ever generative AI evaluation to multi-schema annotation. Revolutionizing generative AI development One of the biggest highlights of R3 is the introduction of Snorkel’s GenAI Evaluation Suite.

AI Developer 52

AI Developer AI Development NLP LLM 52

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development.

LLM 261

LLM Machine Learning Explainability Algorithm 261

Marktechpost

SEPTEMBER 23, 2024

The creation of MMMLU reflects OpenAI’s focus on measuring models’ real-world proficiency, especially in languages that are underrepresented in NLP research. The MMMLU dataset helps bridge this gap by offering a framework for testing models in languages traditionally underrepresented in NLP research.

OpenAI 120

OpenAI NLP Natural Language Processing Large Language Models 120

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, Image Source EXAONE 3.0

AI Researcher 107

AI Researcher AI Research NLP Natural Language Processing 107

AWS Machine Learning Blog

MARCH 14, 2025

Her overall work focuses on Natural Language Processing (NLP) research and developing NLP applications for AWS customers, including LLM Evaluations, RAG, and improving reasoning for LLMs. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

Generative AI 86

Generative AI Responsible AI Automation LLM 86

Marktechpost

AUGUST 10, 2024

Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning.

Natural Language Processing 120

Natural Language Processing Large Language Models NLP Machine Learning 120

AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

Responsible AI 101

Responsible AI AI Tools AI AI 101

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. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.

Large Language Models 117

Large Language Models Natural Language Processing NLP Responsible AI 117

Unite.AI

JUNE 21, 2024

This model has set new benchmarks in Natural Language Processing (NLP) by demonstrating improved understanding and generating human-like text capabilities. A key advancement in GPT-4o is its ability to handle images, marking a move towards multimodal AI systems that can process and integrate information from various sources.

OpenAI 184

OpenAI Natural Language Processing Large Language Models AI Developer 184

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