Marktechpost

MAY 17, 2024

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. It has applications in various domains, such as language translation, text summarization, sentiment analysis, and the development of conversational agents.

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LLM Large Language Models Natural Language Processing NLP 128

Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

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LLM Machine Learning Natural Language Processing Large Language Models 124

Marktechpost

FEBRUARY 5, 2024

In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn with the introduction of TIME-LLM, a pioneering framework developed by a collaboration between esteemed institutions, including Monash University and Ant Group.

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LLM Machine Learning Data Analysis Natural Language Processing 137

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations.

LLM 109

LLM Large Language Models Neural Network Natural Language Processing 109

Marktechpost

MARCH 22, 2024

Despite the remarkable progress of LLMs in natural language processing, they remain susceptible to jailbreak attempts. Yet, comparing these attacks proves challenging due to variations in evaluation criteria and the absence of readily available source code, exacerbating efforts to identify and counter LLM vulnerabilities.

LLM 133

LLM Machine Learning Natural Language Processing Categorization 133

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Marktechpost

JANUARY 5, 2024

Large Language Models (LLMs) have ushered a new era in the field of Artificial Intelligence (AI) through their exceptional natural language processing capabilities. From mathematical reasoning to code generation and even drafting legal opinions, LLMs find their applications in almost every field.

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LLM Machine Learning Natural Language Processing Large Language Models 116

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 130

Marktechpost

DECEMBER 7, 2023

Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. The review provides a thorough, up-to-date overview of methodologies contributing to efficient LLM development. Check out the Paper.

Large Language Models 109

Large Language Models LLM Algorithm Natural Language Processing 109

Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. Don’t Forget to join our 40k+ ML SubReddit Want to get in front of 1.5 LLM2Vec is very data and parameter-efficient and does not require any labeled data.

LLM 109

LLM Large Language Models NLP Natural Language Processing 109

Marktechpost

MAY 2, 2024

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). Unlike traditional methods that rely on external drafter models, Kangaroo uses a fixed shallow LLM sub-network as the draft model. With up to a 1.7×

Large Language Models 113

Large Language Models Natural Language Processing LLM AI 113

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 108

Marktechpost

FEBRUARY 3, 2024

MambaByte MOE Token-free language models have represented a significant shift in Natural Language Processing (NLP), as they learn directly from raw bytes, bypassing the biases inherent in subword tokenization. While requiring 2.2 times fewer training steps than Mamba, it achieves the same level of performance.

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Artificial Intelligence Artificial Intelligence LLM Large Language Models 139

Marktechpost

JANUARY 21, 2024

Machine translation, a crucial aspect of Natural Language Processing, has significantly increased. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Yet, a primary challenge persists: producing translations beyond mere adequacy to reach near perfection.

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LLM Large Language Models Natural Language Processing AI 137

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. We are also on Telegram and WhatsApp.

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Large Language Models LLM NLP Natural Language Processing 123

Marktechpost

DECEMBER 29, 2023

The exploration of natural language processing has been revolutionized with the advent of LLMs like GPT. These models showcase exceptional language comprehension and generation abilities but encounter significant hurdles. The retrieved data forms the foundation upon which the LLM generates its responses.

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Natural Language Processing LLM AI AI 141

Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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LLM Natural Language Processing Automation Data Ingestion 64

Marktechpost

MARCH 18, 2024

While the LLMs demonstrate remarkable performance and generalization across various natural language processing tasks, their immense size demands substantial computational resources, making training and inference expensive and inefficient, especially when adapting them to downstream applications.

Machine Learning 125

Machine Learning Natural Language Processing Large Language Models LLM 125

Marktechpost

DECEMBER 29, 2023

In conclusion, the SuperContext method marks a significant stride in natural language processing. By effectively amalgamating the capabilities of LLMs with the specific expertise of SLMs, it addresses the longstanding issues of generalizability and factual accuracy. If you like our work, you will love our newsletter.

LLM 120

LLM Large Language Models Natural Language Processing Prompt Engineer 120

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. However, LLMs continue to do poorly in producing complicated structured outputs a crucial skill for various applications, from automated report authoring to coding help.

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Large Language Models LLM Natural Language Processing Categorization 128

Marktechpost

JANUARY 28, 2024

In the evolving landscape of artificial intelligence and natural language processing, utilizing large language models (LLMs) has become increasingly prevalent. This work requires a deep understanding of language and an ability to embody diverse characters consistently. Check out the Paper and Github.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 133

Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.

Machine Learning 132

Machine Learning AI Researcher AI Research Large Language Models 132

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. All credit for this research goes to the researchers of this project.

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Large Language Models Natural Language Processing NLP LLM 143

Mlearning.ai

AUGUST 4, 2023

Fine-tuning large language models (LLMs) has become a powerful technique for achieving impressive performance in various natural language processing tasks. Understanding Fine-Tuning as Supervised Learning Fine-tuning is a widely used technique that enables customising pre-trained language models to specific tasks.

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LLM Large Language Models Natural Language Processing AI 52

Marktechpost

JANUARY 26, 2024

The development of large language models (LLMs) like GPT and LLaMA has marked a significant milestone. These models have become indispensable tools for various natural language processing tasks. The core of this approach lies in aligning and fusing the probabilistic distributions generated by the source LLMs.

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Large Language Models Natural Language Processing LLM AI 133

Towards AI

MAY 3, 2023

But what if LLMs could also engage in a cooperative approach? This is where ML CoPilot enters the scene. Despite their extensive abilities, LLMs do not have the expertise to resolve every existing problem. In this paper, the authors suggest the use of LLMs to make use of past ML experiences to suggest solutions for new ML tasks.

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Large Language Models ML Machine Learning LLM 81

Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. RAG started out relatively simple -- take a query, generate search results, use search results as context for a Large Language Model (LLM) to generate an abstractive summary of the results.

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Large Language Models Natural Language Processing NLP Machine Learning 59

Marktechpost

MARCH 4, 2024

Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These models underpin many of today’s advanced natural language processing tasks and have become indispensable tools for understanding and generating human language. The method achieves a 3.2

Machine Learning 135

Machine Learning Large Language Models Natural Language Processing LLM 135

Marktechpost

MARCH 1, 2024

From conversational AI to instant language translation, the potential applications of Ouroboros are vast and varied, offering promising prospects for the future of natural language processing. Ouroboros represents a significant leap forward in addressing the longstanding challenge of LLM inference efficiency.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 109

Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing. The survey delineates the extensive scale of data involved, with pre-training corpora alone exceeding 774.5

Large Language Models 113

Large Language Models Natural Language Processing LLM Categorization 113

Marktechpost

APRIL 6, 2024

Recent advancements integrate machine learning and natural language processing with TRIZ to streamline its reasoning process. AutoTRIZ emphasizes controlling the problem-solving process while drawing problem-related knowledge from the pre-trained large-scale corpora used to train the LLM.

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Large Language Models Automation Natural Language Processing Categorization 135

Marktechpost

MARCH 12, 2024

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks. Check out the Paper and Project.

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Chatbots Computational Linguistics Large Language Models LLM 128

Marktechpost

APRIL 30, 2024

Previous studies have proposed that LLMs demonstrate considerable generalization abilities, allowing them to apply learned knowledge to new tasks not encountered during training, a phenomenon known as zero-shot learning. However, fine-tuning remains crucial to optimize LLM performance on robust user datasets and tasks.

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Large Language Models Categorization Natural Language Processing Algorithm 132

Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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OpenAI AI Modeling Natural Language Processing ChatGPT 281

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. RL offers a natural solution to bridge the gap between the optimized object (e.g.,

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LLM AI Researcher AI Research Prompt Engineer 98

Marktechpost

FEBRUARY 4, 2024

Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics, audio, and medicine. On the other hand, LLMs aren’t as good as diffusion models.

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Natural Language Processing LLM Robotics NLP 131

Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. 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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Generative AI BERT Natural Language Processing Large Language Models 189