Unite.AI

MARCH 11, 2024

Unlike older AI systems that use just one AI model like the Transformer based LLM, CAS emphasizes integration of multiple tools. Here, it is important to understand the distinction between multimodal AI and CAS.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This involves matching the user's input with relevant documents, ensuring access to accurate and current information.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

Unite.AI

JANUARY 11, 2025

Large Language Models (LLMs) have changed how we handle natural language processing. For example, an LLM can guide you through buying a jacket but cant place the order for you. A memory component could help LLM to keeps track of past actions, enabling it adapting to new scenarios.

Large Language Models 214

Large Language Models Automation LLM Natural Language Processing 214

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.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

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. Image and Document Processing Multimodal LLMs have completely replaced OCR.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

AWS Machine Learning Blog

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

LLM 119

LLM ML Automation Generative AI 119

AssemblyAI

MAY 3, 2023

The core process is a general technique known as self-supervised learning , a learning paradigm that leverages the inherent structure of the data itself to generate labels for training. A language model can be fine-tuned on medical documents in order to be utilized for specialized tasks in the medical domain. Et voilà !

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

Large Language Models 131

Large Language Models Machine Learning LLM Natural Language Processing 131

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Metadata 125

Metadata LLM NLP Conversational AI 125

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.

Large Language Models 129

Large Language Models LLM Neural Network Natural Language Processing 129

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn.

Large Language Models 113

Large Language Models LLM Machine Learning Python 113

Unite.AI

NOVEMBER 14, 2023

Traditionally, this task would involve delving into extensive documentation and community-provided examples, especially when dealing with intricate components or state management. With ChatGPT, this process becomes streamlined. In this new age, the role of engineers and computer scientists will transform significantly.

Large Language Models 331

Large Language Models Software Engineer Computer Scientist ChatGPT 331

Flipboard

NOVEMBER 20, 2024

The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. In this post, we explore an innovative approach that uses LLMs on Amazon Bedrock to intelligently extract metadata filters from natural language queries.

Metadata 161

Metadata LLM Natural Language Processing Generative AI 161

Marktechpost

JANUARY 18, 2024

With the advancements in Natural Language Processing and Natural Language Generation, Large Language Models (LLMs) are being frequently used in real-world applications. With AboutMe, the team has attempted to document the effects of data filtering on text rooted in social and geographic contexts.

Natural Language Processing 103

Natural Language Processing Large Language Models LLM AI 103

Marktechpost

JULY 9, 2024

Some approaches focus on aligning retrievers with LLM needs, while others explore multi-step retrieval processes or context-filtering methods. Instruction-tuning techniques have been developed to enhance both search capabilities and the RAG performance of LLMs. The 8B parameter version consistently outperforms ChatQA-1.5

LLM 129

LLM Large Language Models Natural Language Processing BERT 129

IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Even as code produced by generative AI and LLM technologies becomes more accurate, it can still contain flaws and should be reviewed, edited and refined by people.

Auto-complete 241

Auto-complete Generative AI Neural Network Artificial Intelligence 241

Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Check out the Reference Page and Project Page. We are also on WhatsApp.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence LLM AI Researcher 119

Unite.AI

MARCH 29, 2024

The Challenge of Domain Adaptation While LLMs are pre-trained on vast amounts of data, their ability to perform well in specialized domains, such as medical research, legal documentation, or enterprise-specific knowledge bases, is often limited. The retrieval process in RAG starts with a user's query.

Natural Language Processing 173

Natural Language Processing Large Language Models LLM Artificial Intelligence 173

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.

LLM 263

LLM AI AI ChatGPT 263

Unite.AI

APRIL 15, 2024

When it comes to natural language processing (NLP) and information retrieval, the ability to efficiently and accurately retrieve relevant information is paramount. Retrieval : The system queries a vector database or document collection to find information relevant to the user's query.

BERT 162

BERT Large Language Models Natural Language Processing NLP 162

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.

Large Language Models 92

Large Language Models LLM Natural Language Processing Deep Learning 92

Unite.AI

NOVEMBER 4, 2024

Overly confident language, particularly in subjective responses that cannot be empirically established, which can lead users to trust the answer more than it deserves. They then used an LLM system (GPT-4o) to analyze the systems' responses. Here the LLM judge was augmented by two human annotators. Con Statements (i.e.,

LLM 237

LLM Automation Natural Language Processing Large Language Models 237

AssemblyAI

JANUARY 12, 2024

Semantic Kernel Semantic Kernel is an SDK for multiple programming languages that helps users develop applications with LLMs. However, as with LangChain, users must first convert speech data to text in order to interact with the LLM.    This Semantic Kernel Integration makes this transcription step easier.   8.

Large Language Models 276

Large Language Models Python Natural Language Processing NLP 276

AWS Machine Learning Blog

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

IDP 96

IDP Natural Language Processing Machine Learning Software Engineer 96

AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

IDP 98

IDP LLM Automation Generative AI 98

Unite.AI

OCTOBER 27, 2024

Developers can easily connect their applications with various LLM providers, databases, and external services while maintaining a clean and consistent API. Its modular design allows developers to combine multiple ML solutions into efficient processing pipelines, while WebGL acceleration ensures smooth performance even on mobile devices.

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

Auto-complete 167

Auto-complete LLM Machine Learning Natural Language Processing 167

Marktechpost

JANUARY 10, 2024

In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges faced by Large Language Models (LLMs), including limited knowledge access, lack of transparency, and hallucinations in answers.

Natural Language Processing 108

Natural Language Processing Large Language Models Data Ingestion NLP 108

Flipboard

JANUARY 14, 2025

Moreover, interest in small language models (SLMs) that enable resource-constrained devices to perform complex functionssuch as natural language processing and predictive automationis growing. These documents are chunked by the application and are sent to the embedding model.

LLM 152

LLM Generative AI Chatbots Large Language Models 152

Unite.AI

AUGUST 9, 2024

Both products use artificial intelligence and some of the most advanced Large Language Models (LLM) available today. While it lacks real-time updates, image generation , and Internet connectivity, its unique Projects feature allows you to organize documents , code, and place files into themed collections for easy reference.

ChatGPT 278

ChatGPT AI AI AI Chatbots 278

Topbots

AUGUST 7, 2023

Generated with Midjourney Enterprises in every industry and corner of the globe are rushing to integrate the power of large language models (LLMs) like OpenAI’s ChatGPT, Anthropic’s Claude, and AI12Lab’s Jurassic to boost performance in a wide range of business applications, such as market research, customer service, and content generation.

LLM 98

LLM Large Language Models ML Natural Language Processing 98

Flipboard

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. Specify the AWS Lambda function that will interact with MongoDB Atlas and the LLM to provide responses.

Large Language Models 170

Large Language Models Natural Language Processing LLM ML 170

AWS Machine Learning Blog

FEBRUARY 5, 2025

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions.

LLM 111

LLM Chatbots Conversational AI Large Language Models 111

Unite.AI

JUNE 11, 2024

This remarkable capability is a game-changer for applications that demand an in-depth understanding of lengthy documents, such as legal contracts, research papers, or dense technical manuals. Accuracy of Qwen2 models in retrieving facts from documents across varying context lengths and document depths.

Large Language Models 182

Large Language Models Natural Language Processing Categorization Artificial Intelligence 182

AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. Furthermore, the knowledge base includes the referenced policy documents used by the evaluation, providing moderators with additional context. The process is similar to the initiation workflow.

Natural Language Processing 134

Natural Language Processing LLM Prompt Engineering Prompt Engineer 134

Marktechpost

APRIL 29, 2024

These state-of-the-art Large Language Models (LLMs) have the potential to completely transform medical natural language processing (NLP) by establishing new standards for functionality and performance in the biomedical field. Providing precise answers to a broad range of medical questions.

Large Language Models 143

Large Language Models NLP Natural Language Processing LLM 143

Unite.AI

JANUARY 11, 2024

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147