Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. It not only collects data from websites but also processes and cleans it into LLM-friendly formats like JSON, cleaned HTML, and Markdown.

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LLM Metadata Data Extraction BERT 134

Unite.AI

JULY 9, 2024

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. Conversely, the Christ Family alters the sampling process during LLM text generation, embedding a watermark by changing how tokens are selected.

LLM 130

LLM Large Language Models Algorithm Automation 130

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. This obscurity makes it challenging to understand the AI's decision-making process. AI black boxes are systems whose internal workings remain opaque or invisible to users. Impact of the LLM Black Box Problem 1.

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LLM Machine Learning Explainability Algorithm 264

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress.

Software Engineer 176

Software Engineer BERT Artificial Intelligence Artificial Intelligence 176

Unite.AI

MAY 8, 2024

Trained on massive text corpora with billions of parameters, LLMs exhibit remarkable few-shot learning abilities, generalization across tasks, and commonsense reasoning skills that were once thought to be extremely challenging for AI systems.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Large Language Models Neural Network LLM ChatGPT 363

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. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.

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Generative AI BERT Natural Language Processing Artificial Intelligence 189

Unite.AI

OCTOBER 23, 2023

Over the past few years, Large Language Models (LLMs) have garnered attention from AI developers worldwide due to breakthroughs in Natural Language Processing (NLP). The ability of LLM to generate multimodal data seamlessly will help in enhancing interactions across different domains including e-commerce, media, and virtual reality.

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Large Language Models LLM Natural Language Processing BERT 312

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

AssemblyAI

JUNE 27, 2023

Over the past decade, we've witnessed significant advancements in AI-powered audio generation techniques, including music and speech synthesis. This blog post is part of a series on generative AI. This shift has led to dramatic improvements in speech recognition and several other applications of discriminative AI.

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Generative AI BERT Neural Network AI 298

Marktechpost

JULY 1, 2024

Researchers from UC Berkeley, Anyscale, and Canva propose RouteLLM , an open-source LLM routing framework that effectively balances price and performance to address this issue. Challenges in LLM Routing LLM routing aims to determine which model should handle each query to minimize costs while maintaining response quality.

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LLM BERT Large Language Models Chatbots 125

Marktechpost

MAY 12, 2024

Many works have been carried out to enhance the model efficiency for LLMs, e.g., one such method is to skip multiple tokens at a particular time stamp. However, these models are only applied to non-autoregressive models and require an extra re-training phrase, making them less suitable for auto-regressive LLMs like ChatGPT and Llama.

LLM 120

LLM Auto-complete Large Language Models BERT 120

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. Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction.

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Data Extraction Neural Network Large Language Models NLP 273

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Such sophisticated and accessible AI models are poised to redefine the future of work, learning, and creativity. The Impact of Prompt Quality Using well-defined prompts is the key to engaging in useful and meaningful conversations with AI systems.

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Towards AI

FEBRUARY 19, 2024

Author(s): Tim Cvetko Originally published on Towards AI. I would never have put my finger that the next big revolution in AI would have happened on the text front. Self-Play LLMs Reinforcement learning from human feedback(RLHF) refers to using human labels as a reward policy the LLM uses to evaluate itself. into ChatGPT?

LLM 91

LLM BERT OpenAI ChatGPT 91

Unite.AI

NOVEMBER 11, 2024

Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). This raises an important question: Do LLMs remember the same way humans do? In contrast, LLMs rely on static data patterns and mathematical algorithms. How Human Memory Works?

LLM 182

LLM Large Language Models Natural Language Processing BERT 182

Marktechpost

SEPTEMBER 30, 2024

As LLMs continue to grow in scale, reaching hundreds of billions to even trillions of parameters, concerns arise about the accessibility of AI research, with some fearing it may become confined to industry researchers. Researchers have explored various approaches to enhance LLM performance by manipulating intermediate embeddings.

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LLM Large Language Models BERT Artificial Intelligence 113

Marktechpost

APRIL 25, 2024

Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards demystifying the powerful algorithms that drive modern AI language systems. This process is foundational for developing any AI that handles language tasks.

Large Language Models 130

Large Language Models LLM Neural Network Natural Language Processing 130

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Marktechpost

APRIL 21, 2024

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 135

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 130

LLM Large Language Models Natural Language Processing BERT 130

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Generative AI Data Scientist BERT Machine Learning 176

Marktechpost

FEBRUARY 12, 2024

SLIMs join existing small, specialized model families from LLMWare – DRAGON , BLING , and Industry – BERT — along with the LLMWare development framework, to create a comprehensive set of open-source models and data pipelines to address a wide range of complex enterprise RAG use cases.

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Automation BERT LLM Python 140

Unite.AI

NOVEMBER 7, 2023

Furthermore, empirically enumerating all the possible designs for training LLMs over 100B parameters is computationally unaffordable which makes it even more critical to come up with a pre-training method for large scale LLM frameworks. With that being said, let’s have a look at GLM-130B’s architecture.

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LLM Large Language Models Neural Network BERT 258

Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. GPT-4 pushes the boundaries of language AI with an unbelievable 1.76 The Bottom Line In conclusion, SLMs represent a significant advancement in the field of AI.

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Large Language Models BERT Neural Network Natural Language Processing 217

Towards AI

OCTOBER 19, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Allohvk Originally published on Towards AI. Quantization explained in plain English When BERT was released around 5 years ago, it triggered a wave of Large Language Models with ever increasing sizes. Photo by Jeremy Lanfranchi on Unsplash An LLM is not too different.

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Explainability LLM BERT Large Language Models 100

Marktechpost

JUNE 19, 2023

From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans. Some well-known LLMs like GPT, BERT, and PaLM have been in the headlines for accurately following instructions and accessing vast amounts of high-quality data.

Large Language Models 120

Large Language Models LLM BERT AI Tools 120

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Marktechpost

APRIL 12, 2024

Pre-trained bidirectional encoders or encoder-decoders, such as BERT and T5, have historically been the preferred models for this use. Lately, the trend in text embedding jobs has been to use Large Language Models (LLMs) that are decoder-only. Million AI Audience? If you like our work, you will love our newsletter.

LLM 108

LLM Large Language Models NLP Natural Language Processing 108

Unite.AI

AUGUST 15, 2024

In a revolutionary leap forward in human-AI interaction, scientists at MindPortal have successfully developed MindSpeech, the first AI model capable of decoding continuous imagined speech into coherent text without any invasive procedures. Key metrics such as BLEU-1 and BERT P scores were used to evaluate the accuracy of the AI model.

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Large Language Models BERT LLM AI 147

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 86

Marktechpost

JUNE 21, 2024

Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. The gte-Qwen2-7B-instruct model is trained based on the Qwen2-7B LLM model, which is present in the Qwen2 series models released by the Qwen team recently. This new model uses the same training data and strategies as the earlier gte-Qwen1.5-7B-instruct

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AI Research AI Researcher BERT Natural Language Processing 113

Marktechpost

JANUARY 20, 2024

Pseudo-labels from advanced cross-encoder models like BERT are one of the methods for generating synthetic data for domain adaptation of dense passage retrievers. The second phase utilizes synthetic queries generated by an LLM based on randomly sampled documents from the corpus. If you like our work, you will love our newsletter.

BERT 131

BERT Large Language Models LLM AI 131

Marktechpost

MARCH 25, 2024

Large Language Models (LLMs) like ChatGPT, Google’s Bert, Gemini, Claude Models, and others have emerged as central figures, redefining our interaction with digital interfaces. LLM is an AI system designed to understand, generate, and work with human language on a large scale. What are Large Language Models?

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ChatGPT Neural Network Large Language Models BERT 132

Marktechpost

JULY 19, 2024

Therefore, text-to-SQL research can benefit from the unique opportunities, enhancements, and solutions that can be brought about by integrating LLM-based implementation, such as improved query accuracy, better handling of complex queries, and increased system robustness. Join our Telegram Channel and LinkedIn Gr oup.

LLM 104

LLM Neural Network Large Language Models Natural Language Processing 104

Flipboard

FEBRUARY 16, 2023

In this post, we use a Hugging Face BERT-Large model pre-training workload as a simple example to explain how to useTrn1 UltraClusters. Launch your training job We use the Hugging Face BERT-Large Pretraining Tutorial as an example to run on this cluster. Each compute node has Neuron tools installed, such as neuron-top.

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Large Language Models LLM BERT Deep Learning 132

Marktechpost

MAY 29, 2024

Researchers from PricewaterhouseCoopers introduced Question-Answer cross-attention networks (QAN), they used the external knowledge generated by the large language model LLaMa to enhance answer selection performance by LLM. Firstly, it employs BERT to capture contextual representations of question subjects, bodies, and answers in token form.

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BERT Large Language Models Natural Language Processing LLM 107