Marktechpost

JULY 2, 2023

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. It anchors the LLM to ChatGPT for its ability to write high-quality, human-like language.

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LLM AI Researcher AI Research Large Language Models 117

Marktechpost

MAY 25, 2024

Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. The progression in this field continues to transform how machines comprehend and process language, opening new avenues for research and development. Check out the Paper.

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LLM Natural Language Processing Large Language Models NLP 128

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Access to Hugging Face Hub You must have access to Hugging Face Hubs deepseek-ai/DeepSeek-R1-Distill-Llama-8B model weights from your environment. Access to code The code used in this post is available in the following GitHub repo.

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LLM AI AI Python 158

Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

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Natural Language Processing Large Language Models AI Researcher AI Research 130

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.

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 264

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

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

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Natural Language Processing Large Language Models Data Scarcity LLM 204

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.

Machine Learning 124

Machine Learning LLM Natural Language Processing Large Language Models 124

Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. Within the field of IT, the importance of NLP and LLM technologies is on the rise.

Large Language Models 128

Large Language Models AI Researcher AI Research NLP 128

Marktechpost

JANUARY 17, 2024

The field of natural language processing has been transformed by the advent of Large Language Models (LLMs), which provide a wide range of capabilities, from simple text generation to sophisticated problem-solving and conversational AI.

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LLM Algorithm AI Researcher AI Research 104

Unite.AI

NOVEMBER 28, 2024

Here, we explore key milestones in AI's journey, examining its technological breakthroughs and growing impact on the world. 1956 – The Inception of AI The journey began in 1956 when the Dartmouth Conference marked the official birth of AI.

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Robotics Algorithm AI AI 290

Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. However, until now, LLMs with robust long-context capabilities have primarily been available through proprietary LLM APIs, leaving a gap in accessible solutions for researchers and developers.

AI Researcher 135

AI Researcher AI Research Natural Language Processing Large Language Models 135

Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. Upon evaluation, PowerInfer has also shown that it has the capability to run up to 11.69

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Large Language Models Machine Learning LLM Natural Language Processing 139

AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. This concept is not exclusive to natural language processing, and has also been employed in other domains. Et voilà !

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

FEBRUARY 15, 2025

Large Language Models (LLMs) have advanced significantly in natural language processing, yet reasoning remains a persistent challenge. A more structured approach is needed to expose LLMs to fundamental reasoning patterns while preserving logical rigor.

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Large Language Models Natural Language Processing Conversational AI AI 96

AI Weekly

FEBRUARY 22, 2024

artificialintelligence-news.com Google’s new AI hub in Paris proves that Google feels insecure about AI This morning, Google’s CEO Sundar Pichai inaugurated a new hub in Paris dedicated to AI. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

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Natural Language Processing Artificial Intelligence Artificial Intelligence ChatGPT 263

Marktechpost

NOVEMBER 25, 2023

Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and reasoning. They divide hallucinations into two primary categories: fidelity hallucinations and factuality hallucinations.

Large Language Models 128

Large Language Models AI Researcher AI Research Natural Language Processing 128

Marktechpost

JULY 13, 2023

Large language models (LLM) have made great strides recently, demonstrating amazing performance in tasks conversationally requiring natural language processing. Vision-and-language models, such as MiniGPT-4, LLaVA, LLaMA-Adapter, InstructBLIP, etc.,

Large Language Models 98

Large Language Models LLM AI Researcher AI Research 98

Marktechpost

MARCH 3, 2024

Empirical evidence from the research highlights the superiority of MobileLLM over existing models within the same parameter constraints. Demonstrating notable improvements in accuracy across a breadth of benchmarks, MobileLLM sets a new standard for on-device LLM deployment. If you like our work, you will love our newsletter.

Machine Learning 133

Machine Learning AI Researcher AI Research Natural Language Processing 133

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

JUNE 13, 2024

Transformer-based generative Large Language Models (LLMs) have shown considerable strength in a broad range of Natural Language Processing (NLP) tasks. For this, top AI firms like OpenAI, Google, and Baidu offer a language model-as-a-service (LMaaS) by granting access to their LLMs through APIs.

LLM 122

LLM Natural Language Processing Large Language Models NLP 122

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.,

LLM 98

LLM AI Researcher AI Research Prompt Engineer 98

Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. If you like our work, you will love our newsletter.

AI Researcher 135

AI Researcher AI Research Large Language Models Natural Language Processing 135

Marktechpost

JUNE 2, 2024

Large Language Models (LLMs) have made significant advancements in natural language processing but face challenges due to memory and computational demands. This problem gets worse when LLMs are used in different situations with limited resources. LLM-QFA framework adapts resource-balanced sampling strategy.

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Large Language Models LLM Natural Language Processing AI Research 112

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

Marktechpost

MARCH 2, 2024

Instruction tuning comes as a solution, which includes fine-tuning LLMs on instructions matched with replies that humans like. The input, a taxonomy, has been created with minimal human effort through LLM prompting and verification. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Marktechpost

JANUARY 19, 2024

Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and serving as the backbone for widely used AI assistants.

AI Researcher 123

AI Researcher AI Research Natural Language Processing Large Language Models 123

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. One of the fundamental components of generative capability, the capacity to generate structured data, has drawn much attention in earlier research.

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Large Language Models LLM Natural Language Processing Categorization 128

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 Algorithm LLM Natural Language Processing 109

Marktechpost

NOVEMBER 24, 2024

Transformer architectures have revolutionized Natural Language Processing (NLP), enabling significant language understanding and generation progress. One promising solution is Speculative Decoding (SD), a method designed to accelerate LLM inference without compromising generated output quality.

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LLM AI Researcher AI Research Auto-complete 87

Marktechpost

DECEMBER 19, 2024

The rapid development of Large Language Models (LLMs) has transformed natural language processing (NLP). Meanwhile, many so-called open-source models fail to fully embody the ideals of openness, withholding key elements like training data and fine-tuning processes and often applying restrictive licenses.

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LLM Natural Language Processing NLP Large Language Models 93

Marktechpost

JANUARY 30, 2024

Though it has always played an essential part in natural language processing, textual data processing now sees new uses in the field. Because of this, analyzing textual data for LLMs is becoming more complicated. Modern LLM training frameworks demand a large amount of data to achieve state-of-the-art performance.

AI Researcher 112

AI Researcher AI Research Natural Language Processing LLM 112

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., While the overall process may be more complicated in practice, this is the gist.

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LLM NLP Hybrid AI Large Language Models 127

Marktechpost

JUNE 21, 2024

Text embeddings (TEs) are low-dimensional vector representations of texts of different sizes, which are important for many natural language processing (NLP) tasks. Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. 7B-instruct model but with the updated Qwen2-7B base model.

AI Researcher 113

AI Researcher AI Research BERT Natural Language Processing 113

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.

Large Language Models 123

Large Language Models LLM NLP Natural Language Processing 123

Marktechpost

JUNE 22, 2023

2023 is the year of LLMs. A new LLM model is taking the spotlight one after the other. These models have revolutionized the field of natural language processing and are being increasingly utilized across various domains. Our language skills are developed through embodied interaction with the world.

AI Researcher 109

AI Researcher AI Research ChatGPT LLM 109

Marktechpost

MARCH 18, 2025

This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important. They are crucial for machine learning applications, particularly those involving natural language processing and image recognition.

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Metadata LLM Auto-complete Neural Network 90