Marktechpost

MAY 12, 2024

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby facilitating quicker computations and more efficient model performance. Check out the Paper.

Large Language Models 102

Large Language Models Computational Linguistics Algorithm LLM 102

Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. With billions of parameters, these models demand extensive computational resources for operation. Yet, their immense size incurs substantial computational expenses.

Large Language Models 118

Large Language Models Categorization Natural Language Processing Algorithm 118

Marktechpost

FEBRUARY 27, 2024

A team of researchers at Google Research has introduced the LLM Comparator tool, which facilitates the side-by-side comparison of LLM outputs, enabling an in-depth analysis of their performance. The LLM Comparator integrates visual analytics, allowing users to delve into the specifics of model performance across different scenarios.

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Large Language Models LLM AI AI 100

Marktechpost

MARCH 28, 2024

These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from simple data processing to complex problem-solving scenarios. Within this evolving landscape, a major hurdle has been the efficient management of LLM-based agents.

Large Language Models 137

Large Language Models LLM Artificial Intelligence Artificial Intelligence 137

Marktechpost

MAY 7, 2024

The emergence of large language models (LLMs) has profoundly influenced the field of biomedicine, providing critical support for synthesizing vast data. These models are instrumental in distilling complex information into understandable and actionable insights. on the GIT and ChemProt datasets, respectively.

Large Language Models 104

Large Language Models Data Analysis LLM NLP 104

Marktechpost

MAY 7, 2024

Large language models (LLMs) like GPT-3 can be a potential solution because these powerful AI models can understand and generate human-like text, so in theory, they could engage in back-and-forth conversations to intuitively elicit someone’s preferences. If you like our work, you will love our newsletter.

Large Language Models 101

Large Language Models LLM Algorithm ML 101

Marktechpost

JANUARY 31, 2024

Researchers from Shanghai AI Laboratory introduced HuixiangDou, a technical assistant based on Large Language Models (LLM), to tackle these issues, marking a significant breakthrough. The initial version, called Baseline, involved directly fine-tuning the LLM to handle user queries. Check out the Paper and Github.

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Large Language Models LLM Computer Vision Deep Learning 113

Marktechpost

JANUARY 17, 2024

With the growth of large language models, natural language processing has been revolutionized. Many LLMs, like GPT-3.5, LLaMA, and Mixtral, came up last year, which helped tackle diverse language tasks. This Llama 2-based multilingual LLM has 7B parameters specifically designed for translation-related tasks.

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Large Language Models LLM Natural Language Processing ML 128

Marktechpost

APRIL 3, 2024

Large Language Models (LLMs) have become extremely popular as they can perform complex reasoning tasks in a variety of fields, including creative writing and programming. However, they are computationally expensive to construct and optimize, especially when pretraining on large datasets. Check out the Paper.

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Large Language Models LLM AI AI 91

Unite.AI

JANUARY 23, 2024

In the domains of artificial intelligence (AI) and machine learning (ML), large language models (LLMs) showcase both achievements and challenges. Trained on vast textual datasets, LLM models encapsulate human language and knowledge. Why is LLM Unlearning Needed?

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LLM Large Language Models OpenAI ML 281

Marktechpost

MARCH 5, 2024

The surge in the development of Large Language Models (LLMs) has been revolutionary. These sophisticated models have dramatically enhanced our ability to process, understand, and generate human-like text. matches and occasionally exceeds conventional LLMs’ performance across various tasks.

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Large Language Models LLM AI Developer AI Development 131

Marktechpost

MARCH 30, 2024

Researchers at Shanghai AI Laboratory, SenseTime Group, The Chinese University of Hong Kong, and Fudan University have unveiled InternLM2 , a remarkable open–source achievement in Large Language Models (LLMs). In conclusion, InternLM2 represents a significant stride forward in the development of Large Language Models.

Large Language Models 128

Large Language Models LLM Artificial Intelligence Artificial Intelligence 128

Marktechpost

MAY 8, 2024

Existing work includes frameworks like Woodpecker, which focuses on extracting key concepts for hallucination diagnosis and mitigation in large language models. Models like AlpaGasus leverage fine-tuning high-quality data to enhance effectiveness and accuracy. If you like our work, you will love our newsletter.

Large Language Models 99

Large Language Models LLM Data Analysis Automation 99

Marktechpost

APRIL 8, 2024

The processing of long textual sequences, which is critical for numerous applications, including question-answering systems and document summarization, has shown remarkable progress in large language models (LLMs). These models can understand and generate text based on large contexts. Check out the Paper.

Large Language Models 118

Large Language Models LLM ML Artificial Intelligence 118

Marktechpost

APRIL 27, 2024

Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. Optimizing LLM performance without prohibitive computational expenses is a significant challenge in this field.

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Large Language Models Machine Learning LLM ML 108

Marktechpost

MAY 7, 2024

However, the quality of that data is paramount, especially given the escalating reliance on Machine Learning (ML) across various industries. Poor-quality training data can introduce biases and inaccuracies, undermining the efficacy of ML applications. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 110

Large Language Models Automation Data Quality ML 110

Marktechpost

MAY 16, 2024

Feedback is crucial for student success, especially in large computing classes facing increasing demand. Recent advancements in large language models (LLMs) show promise in offering rapid, human-like feedback. Also, open-source language models demonstrate the potential to generate programming feedback.

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Large Language Models Automation LLM ML 68

Marktechpost

DECEMBER 14, 2023

The model incorporates variable-grouped query attention. Among the top 7-billion-parameter instruct models, this model excels without sophisticated preference optimization methods. In conclusion, DeciLM-7B is a significant model in Large Language Models. Check out the Reference Blog.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 127

Marktechpost

DECEMBER 30, 2023

The recent advancements in Artificial Intelligence have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters).

Large Language Models 117

Large Language Models LLM Machine Learning Artificial Intelligence 117

Marktechpost

MAY 14, 2024

Large language models (LLMs) are central to processing vast amounts of data quickly and accurately. Instruction tuning is essential as it prepares LLMs to solve new, unseen problems effectively by applying learned knowledge in structured scenarios. If you like our work, you will love our newsletter.

Large Language Models 103

Large Language Models LLM Data Quality Algorithm 103

Marktechpost

MARCH 14, 2024

Advancements in large language models (LLMs) have been witnessed across various domains, such as translation, healthcare, and code generation. These models have shown exceptional capabilities in understanding and generating human-like text. Don’t Forget to join our 38k+ ML SubReddit Want to get in front of 1.5

Large Language Models 103

Large Language Models LLM Artificial Intelligence Artificial Intelligence 103

Marktechpost

MAY 16, 2024

Recently, there’s been a surge in the adoption of Integrated Speech and Large Language Models (SLMs), which can understand spoken commands and generate relevant text responses. LLMs, with their extensive capabilities, raise the need to address potential harm and guard against misuse by malicious users.

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Large Language Models Algorithm LLM ML 79

Marktechpost

MAY 5, 2024

The large language models (LLMs) research domain emphasizes aligning these models with human preferences to produce helpful, unbiased, and safe responses. TensorRT-LLM integration reduces training times by up to seven times compared to traditional methods, demonstrating the remarkable impact of this optimization.

Large Language Models 101

Large Language Models Algorithm NLP LLM 101

Marktechpost

MAY 1, 2024

Many applications have used large language models (LLMs). Although many LLM acceleration methods aim to decrease the number of non-zero weights, sparsity is the quantity of bits divided by weight. In addition, speculative decoding is a common trend in LLM acceleration. layers are needed for a token.

Large Language Models 117

Large Language Models Auto-complete LLM Deep Learning 117

Marktechpost

DECEMBER 23, 2023

In the ever-evolving large language models (LLMs), a persistent challenge has been the need for more standardization, hindering effective model comparisons and impeding the need for reevaluation. PromptBench emerges as a beacon of hope for LLM evaluation. Check out the Paper and Github.

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Large Language Models Python LLM AI Researcher 143

Marktechpost

MAY 2, 2024

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). These models have showcased remarkable performance in tasks like translation, question answering, and text summarization, proving their efficiency in generating high-quality text.

Large Language Models 107

Large Language Models Natural Language Processing LLM AI 107

Marktechpost

JANUARY 30, 2024

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. Modality Generator: It is crucial for models that concentrate on multimodal comprehension and generation.

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Large Language Models AI Researcher AI Research LLM 135

Marktechpost

MARCH 2, 2024

Very large language models (LLMs) continue to face major computational cost barriers, which prevents their broad deployment, even with inference optimization approaches that have advanced significantly. Modern LLM designs that rely solely on decoders bind these two activities together.

Large Language Models 122

Large Language Models ML LLM AI 122

Marktechpost

MARCH 24, 2024

This method’s core is using a large language model (LLM), which, due to its state-of-the-art text comprehension capabilities, can integrate diverse types of data to improve the accuracy of detecting device-directed speech. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 121

Large Language Models LLM Categorization AI 121

Marktechpost

MARCH 1, 2024

The quest for clean, usable data for pretraining Large Language Models (LLMs) resembles searching for treasure amidst chaos. This leap in performance is a testament to NeuScraper’s innovative approach and a beacon of potential for the future of LLM pretraining.

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Large Language Models Data Extraction Neural Network LLM 116

Marktechpost

DECEMBER 7, 2023

Can We Optimize Large Language Models More Efficiently? Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. Serving as a valuable resource, it lays the foundation for future innovations in LLM efficiency.

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Large Language Models LLM Algorithm Natural Language Processing 99

Marktechpost

NOVEMBER 9, 2023

The biggest advancement in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry.

Large Language Models 113

Large Language Models LLM NLP Natural Language Processing 113

Marktechpost

MARCH 14, 2024

However, current models frequently use CLIP as their text encoder, which restricts their capacity to comprehend complicated prompts with many items, minute details, complex relationships, and broad text alignment. To overcome these challenges, the Efficient Large Language Model Adapter (ELLA), a novel method, is presented in this study.

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Large Language Models LLM Machine Learning AI 128

Marktechpost

MAY 11, 2024

Despite their expansive capacities, traditional large language models (LLMs) often fail to comprehend and execute the nuanced directives required for precise IE. These challenges primarily manifest in closed IE tasks, where a model must adhere to stringent, pre-defined schemas.

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Large Language Models Prompt Engineer Prompt Engineering Categorization 94

Marktechpost

FEBRUARY 22, 2024

The rapid advancement of large language models (LLMs) has significantly impacted various domains, offering unprecedented capabilities in processing and generating human language. It provides practical guidelines for optimizing computational efficiency in LLM development.

Large Language Models 130

Large Language Models LLM Artificial Intelligence Artificial Intelligence 130

Marktechpost

APRIL 2, 2024

Large Language Models (LLMs) are the most recent and amazing introduction in the field of Artificial Intelligence (AI). Large volumes of textual data from the Internet have been used to train these supercharged n-gram models, which have captured a great amount of human knowledge.

Large Language Models 114

Large Language Models LLM Artificial Intelligence Artificial Intelligence 114

Marktechpost

OCTOBER 13, 2023

In Large Language Models (LLMs), Partially-Binarized LLMs (PB-LLM) is a cutting-edge technique for achieving extreme low-bit quantization in LLMs without sacrificing language reasoning capabilities. This approach represents a significant advancement in network binarization for LLMs.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 129