Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI.

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John Snow Labs

SEPTEMBER 5, 2023

In its fourth year, the event is the world’s largest gathering of the artificial intelligence (AI) community that explores today’s cutting edge use cases, advancements, and challenges of applied natural language processing (NLP) and large language models (LLMs).

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Marktechpost

OCTOBER 10, 2024

Current AI models focus on specialized tasks within this pipeline, but their limited scope can hinder performance. The Therapeutics Data Commons (TDC) offers datasets to help AI models predict drug properties, yet these models work independently. This model is a valuable tool for end-to-end drug development.

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IBM Journey to AI blog

APRIL 26, 2024

However, there are smaller models that have the potential to innovate gen AI capabilities on mobile devices. Let’s examine these solutions from the perspective of a hybrid AI model. The basics of LLMs LLMs are a special class of AI models powering this new paradigm. Is smaller better?

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Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications.

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Unite.AI

OCTOBER 19, 2023

While it has employed various versions of the GPT model, GPT-4 is its most recent iteration. GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 277

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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Unite.AI

NOVEMBER 14, 2023

They'll interact with LLM, providing training data and examples to achieve tasks, shifting the focus from intricate coding to strategically working with AI models. The shift towards AI in programming does not eliminate the need for the rigor and precision that only formal programming and mathematical skills can provide.

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Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1. These models typically involve an encoder and a decoder.

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AssemblyAI

MAY 3, 2023

The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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Marktechpost

AUGUST 14, 2024

70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone in the next generation of AI technologies.

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AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? No legacy process is safe. techxplore.com Are deepfakes illegal?

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Marktechpost

MARCH 3, 2024

These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. If you like our work, you will love our newsletter.

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Artificial Intelligence Artificial Intelligence AI Modeling Natural Language Processing 140

NVIDIA

OCTOBER 23, 2024

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028 , the new AI model has the potential to dramatically improve healthcare accessibility and efficiency. NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform.

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AssemblyAI

AUGUST 5, 2024

  At AssemblyAI, we believe that AI systems are only as good as the benchmarks and evaluations they are measured against. Objective evaluations and benchmarks validate systems' performances, so users know the AI models they’re using will solve real-world challenges with real-world applications. 

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Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). For instance, clinical texts might confuse ordinary NLP models since they are frequently filled with acronyms and specialized medical terminology.

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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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AssemblyAI

JANUARY 12, 2024

The GitHub page also provides extensive code examples for using the API, such as for applying different Speech AI models, exporting subtitles, synchronous vs. asynchronous transcriptions, or adding custom spellings.  However, as with LangChain, users must first convert speech data to text in order to interact with the LLM. 

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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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IBM Journey to AI blog

SEPTEMBER 19, 2023

How does generative AI code generation work? Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Some generative AI for code tools automatically create unit tests to help with this.

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Marktechpost

JUNE 23, 2024

Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. A single hand-written meta-prompt can extract millions of diverse questions from an LLM.

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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. These LLMs can perform various NLP operations, including data extraction.

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Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. We don't outsource any of our generative AI capabilities to third-party vendors. With the recent $39.4

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NVIDIA

MARCH 27, 2024

It’s official: NVIDIA delivered the world’s fastest platform in industry-standard tests for inference on generative AI. The dramatic speedup demonstrates the power of NVIDIA’s full-stack platform of chips, systems and software to handle the demanding requirements of running generative AI.

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Unite.AI

JULY 11, 2023

Covers Google tools for creating your own Generative AI apps. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. Introduction to Large Language Models Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn?

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Marktechpost

OCTOBER 1, 2024

Generating versatile and high-quality text embeddings across various tasks is a significant challenge in natural language processing (NLP). Current embedding models, despite advancements, often struggle to handle unseen tasks and complex retrieval operations effectively.

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Unite.AI

OCTOBER 27, 2024

The framework excels in managing complex chains of operations, allowing developers to create advanced AI workflows that combine multiple models and tools. Developers can easily connect their applications with various LLM providers, databases, and external services while maintaining a clean and consistent API. TensorFlow.js

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. Using the ability of LLM models to obey commands, they can accomplish this with just one model.

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Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Top LLM Research Papers 2023 1.

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Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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Unite.AI

SEPTEMBER 24, 2024

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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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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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.

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Unite.AI

JULY 26, 2023

Enterprise developers, for instance, often utilize prompt engineering to tailor Large Language Models (LLMs) like GPT-3 to power a customer-facing chatbot or handle tasks like creating industry-specific contracts. It's a blend of: Understanding of the LLM: Different language models may respond variably to the same prompt.

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