Marktechpost

OCTOBER 7, 2024

While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos of a few seconds. Training a video generation model like Loong involves a unique process.

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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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LLM Large Language Models Natural Language Processing Artificial Intelligence 110

Unite.AI

AUGUST 5, 2024

Among these, we’ve seen the greatest recent strides made in natural language processing. Once the model exceeds 7 billion parameters, it is generally referred to as a large language model (LLM). If you train the LLM on large datasets with variable quality, this predictive mechanism will often produce bad writing.

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Marktechpost

MARCH 2, 2024

The lack of linguistic inclusivity underscores the need for broader representation in developing LMM to ensure effective communication across diverse global populations. Recent advancements in LMMs and LLMs have pushed the boundaries of natural language processing.

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AI Development AI Developer Natural Language Processing AI 103

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 has revolutionized the way developers interact with LLMs in JavaScript environments.

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Neural Network Machine Learning NLP Natural Language Processing 162

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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Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Conclusion Picotron represents a step forward in LLM training frameworks, addressing long-standing challenges associated with 4D parallelization.

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LLM Natural Language Processing Large Language Models AI Researcher 64

Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. If you like our work, you will love our newsletter.

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Machine Learning Natural Language Processing Computer Vision LLM 137

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.

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OpenAI Natural Language Processing Large Language Models AI Developer 189

Marktechpost

JUNE 9, 2024

Large Language Models This course covers large language models (LLMs), their training, and fine-tuning. It helps you choose the right LLM for your business and understand the limitations of different LLM options. Generative AI Basics This course explores generative AI, its capabilities, and underlying technology.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 99

Marktechpost

JANUARY 8, 2024

This transition highlights the pivotal role of architectures such as ELMo and the Transformer, which have been instrumental in developing and popularizing series like GPT. The review also acknowledges the challenges and potential future developments in LLM technology, laying the groundwork for an in-depth exploration of these advanced models.

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Large Language Models Natural Language Processing Neural Network Automation 119

Towards AI

SEPTEMBER 9, 2024

Artificial Intelligence (AI) has evolved from a niche field into a driving force behind some of today’s most impactful technologies. Large Language Models (LLMs), natural language processing (NLP) systems, and predictive analytics all rely on vast amounts of data to function effectively.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 105

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

AWS Machine Learning Blog

JUNE 21, 2024

Providing AI Investigator internally to the eSentire SOC workbench has also accelerated eSentire’s investigation process by improving the scale and efficacy of multi-telemetry investigations. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

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Generative AI LLM AI AI 131

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components.

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Generative AI LLM Metadata Natural Language Processing 139

Unite.AI

SEPTEMBER 24, 2024

NIM makes deploying AI models faster, more efficient, and highly scalable, making it an essential tool for the future of AI development. It offers a comprehensive set of tools and APIs that streamline AI workflows and make it easier for developers to build, manage, and deploy models efficiently.

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Inference Engine Large Language Models AI AI 162

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 Researcher AI Research 76

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.

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Responsible AI AI Tools AI AI 117

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.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

Unite.AI

NOVEMBER 6, 2024

Understanding AI Agents In the context of AI, an agent is an autonomous software component capable of performing specific tasks, often using natural language processing and machine learning. This modular design makes AutoGen a powerful tool for both simple and complex AI projects. What Makes AutoGen Unique?

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Automation Python Software Engineer AI 147

IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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Marktechpost

OCTOBER 6, 2024

Large Language Models (LLMs) generate code aided by Natural Language Processing. There is a growing application of code generation in complex tasks such as software development and testing. Traditionally, LLMs have trained on supervised learning algorithms employing large labelled datasets.

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Large Language Models Natural Language Processing Software Engineer Algorithm 115

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 220

Marktechpost

OCTOBER 4, 2024

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. For instance, when multiple relevant paragraphs are retrieved, the model might omit critical details or present conflicting evidence.

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Towards AI

JULY 27, 2024

We will also discuss how it differs from the most popular generative AI tool ChatGPT. Claude AI Claude AI is developed by Anthropic, an AI startup company backed by Google and Amazon, and is dedicated to developing safe and beneficial AI. ChatGPT vs. Claude AI: How do they differ?

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ChatGPT Prompt Engineer Prompt Engineering Explainability 119

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.

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AI Development AI Developer NLP LLM 52

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 Development 52

AI Development AI Developer NLP LLM 52

Unite.AI

OCTOBER 22, 2024

Data quality plays a crucial role in AI model development. Could you share how Appen ensures the accuracy, diversity, and relevance of its datasets, especially with the increasing demand for high-quality LLM training data? Together, they provide a balanced approach to creating high-quality training data for AI.

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Natural Language Processing Generative AI Computer Vision Automation 130

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

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Marktechpost

MAY 29, 2024

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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AI Modeling Large Language Models Conversational AI Natural Language Processing 115

Marktechpost

OCTOBER 18, 2024

These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video, signaling a significant leap in AI development. It also provides multilingual support for languages such as English and Chinese.

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Large Language Models Inference Engine Natural Language Processing LLM 114

Marktechpost

OCTOBER 5, 2024

Google has launched the “ gemma-2-2b-jpn-it ” model, a new addition to its Gemma family of language models. The model is designed to cater specifically to the Japanese language and showcases the company’s continued investment in advancing large language model (LLM) capabilities. Let’s collaborate!

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AI Modeling Large Language Models Natural Language Processing NLP 111

AWS Machine Learning Blog

SEPTEMBER 1, 2023

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps.

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Generative AI Prompt Engineer Prompt Engineering AI 133

Marktechpost

AUGUST 22, 2024

NVIDIA has introduced Mistral-NeMo-Minitron 8B , a highly sophisticated large language model (LLM). This model continues their work in developing state-of-the-art AI technologies. Like many large language models, it was trained on data that may contain toxic language and societal biases.

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AI Modeling Large Language Models Natural Language Processing AI 105

AssemblyAI

AUGUST 5, 2024

" Characteristics of an objective organization Independence: The organization should have no financial or collaborative ties with AI developers whose systems they evaluate. This QA process should follow the quantitative evaluation. See more on this in the “Example evaluation metrics” section below.) 

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AI Modeling LLM AI AI 130

AWS Machine Learning Blog

NOVEMBER 10, 2023

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more.

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Generative AI LLM Chatbots AI 130

TheSequence

DECEMBER 13, 2023

He has previously built machine learning-powered applications for start-ups and enterprises in the domains of natural language processing, topological data analysis, and time series. You are the co-author of the Natural Language Processing with Transformers Book.

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LLM Natural Language Processing Machine Learning Deep Learning 64