Marktechpost

SEPTEMBER 20, 2024

Large language models (LLMs) have made significant leaps in natural language processing, demonstrating remarkable generalization capabilities across diverse tasks. This limitation poses a significant hurdle for AI-driven applications requiring structured LLM outputs integrated into their data streams.

LLM 114

LLM NLP Large Language Models Natural Language Processing 114

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge. Check out the Paper.

Machine Learning 114

Machine Learning LLM AI Researcher AI Research 114

ODSC - Open Data Science

NOVEMBER 28, 2024

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation ODSC East 2025 Black Friday Deal Take advantage of our 2-for-1 Black Friday sale and join the leading conference for data scientists and AI builders. Learn, innovate, and connect as we shape the future of AI — together!

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network LLM Natural Language Processing 52

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation.

LLM 107

LLM Natural Language Processing Inference Engine Large Language Models 107

Marktechpost

SEPTEMBER 17, 2024

Studies explored whether these errors could be eliminated or required management, recognizing them as an intrinsic challenge of LLMs. Recent advancements in LLMs have revolutionized natural language processing, yet the persistent challenge of hallucinations necessitates a deeper examination of their fundamental nature and implications.

Large Language Models 136

Large Language Models LLM Natural Language Processing ML 136

Marktechpost

JULY 28, 2024

In the rapidly evolving field of natural language processing (NLP), integrating external knowledge bases through Retrieval-Augmented Generation (RAG) systems represents a significant leap forward. However, while RAG systems have improved the performance of LLMs across various tasks, they still face critical limitations.

Natural Language Processing 122

Natural Language Processing Large Language Models NLP LLM 122

Marktechpost

SEPTEMBER 11, 2024

By encouraging models to divide tasks into intermediate steps, much like humans methodically approach complex problems, CoT improves the problem-solving process. This method has proven to be extremely effective in a number of applications, earning it a key position in the natural language processing (NLP) community.

Large Language Models 102

Large Language Models LLM Natural Language Processing NLP 102

Marktechpost

AUGUST 14, 2024

70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Its improvements in natural language processing, image recognition, and data analysis, combined with its efficiency and scalability.

Natural Language Processing 126

Natural Language Processing AI Modeling Data Analysis NLP 126

Marktechpost

JANUARY 13, 2025

Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. A strong challenge in LLM optimization arises from the fact that traditional pruning methods are fixed. Dont Forget to join our 65k+ ML SubReddit.

LLM 82

LLM Large Language Models Neural Network Natural Language Processing 82

Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. ” These limitations have spurred researchers to explore innovative solutions that can enhance LLM performance without the need for extensive retraining.

Large Language Models 124

Large Language Models Neural Network Natural Language Processing LLM 124

Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. This issue undermines the reliability of LLMs and makes hallucination detection a critical area of research.

Large Language Models 126

Large Language Models Categorization LLM Explainability 126

Marktechpost

AUGUST 16, 2024

Large Language Models (LLMs) have achieved remarkable progress in the ever-expanding realm of artificial intelligence, revolutionizing natural language processing and interaction. In conclusion, Agent Q represents a monumental leap forward in developing autonomous web agents.

Natural Language Processing 122

Natural Language Processing Large Language Models LLM Algorithm 122

Marktechpost

AUGUST 13, 2024

Recent advances in Artificial Intelligence and Machine Learning have made tremendous progress in handling many computing jobs possible, especially with the introduction of Large Language Models (LLMs). The study offers insightful information about how well LLM performs in code clone identification.

Large Language Models 109

Large Language Models Natural Language Processing LLM Categorization 109

Marktechpost

JULY 25, 2024

Question answering (QA) is a crucial area in natural language processing (NLP), focusing on developing systems that can accurately retrieve and generate responses to user queries from extensive data sources. of cases compared to leading LLM answers. The framework also highlighted a 25.1%

Large Language Models 103

Large Language Models Natural Language Processing LLM NLP 103

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). Structured pruning has emerged as a promising method to improve LLM efficiency by selectively removing less critical components.

Large Language Models 111

Large Language Models Natural Language Processing Inference Engine LLM 111

Marktechpost

JULY 30, 2024

Evaluation benchmarks like SituatedQA and AmbigQA have been crucial in assessing LLM performance with unanswerable or ambiguous questions. These contributions have established a foundation for implementing effective abstention strategies in LLMs, enhancing their ability to handle uncertain or potentially harmful queries.

Large Language Models 106

Large Language Models Categorization Natural Language Processing LLM 106

Marktechpost

AUGUST 5, 2024

The ability to translate spoken words into another language in real time is known as simultaneous speech translation, and it paves the way for instantaneous communication across language barriers. There has been a lot of buzz about machine-assisted autonomous interpretation in natural language processing (NLP).

Data Scarcity 114

Data Scarcity LLM Natural Language Processing NLP 114

Marktechpost

AUGUST 12, 2024

Large Language Models (LLMs), like ChatGPT and GPT-4 from OpenAI, are advancing significantly and transforming the field of Natural Language Processing (NLP) and Natural Language Generation (NLG), thus paving the way for the creation of a plethora of Artificial Intelligence (AI) applications indispensable to daily life.

Large Language Models 107

Large Language Models Natural Language Processing LLM Artificial Intelligence 107

Marktechpost

AUGUST 22, 2024

The field of natural language processing has made substantial strides with the advent of Large Language Models (LLMs), which have shown remarkable proficiency in tasks such as question answering. However, despite their success, LLMs need help dealing with knowledge-intensive queries.

Natural Language Processing 103

Natural Language Processing Large Language Models LLM AI Research 103

Marktechpost

SEPTEMBER 2, 2024

These models are essential in various applications, including natural language processing. These models, however, need to fully leverage the generative abilities of large language models (LLMs). For example, when verifying outputs from the Gemini 1.0 If you like our work, you will love our newsletter.

Natural Language Processing 117

Natural Language Processing Large Language Models Generative AI LLM 117

Marktechpost

JULY 22, 2024

The recent development of large language models (LLMs) has transformed the field of Natural Language Processing (NLP). LLMs show human-level performance in many professional and academic fields, showing a great understanding of language rules and patterns.

Large Language Models 117

Large Language Models Natural Language Processing Algorithm NLP 117

Marktechpost

AUGUST 9, 2024

Natural Language Processing (NLP), despite its progress, faces the persistent challenge of hallucination, where models generate incorrect or nonsensical information. More recent approaches use LLM-generated data to evaluate contextual relevance, faithfulness, and informativeness.

Natural Language Processing 111

Natural Language Processing NLP LLM AI 111

Marktechpost

AUGUST 28, 2024

With the development of huge Large Language Models (LLMs), such as GPT-3 and GPT-4, Natural Language Processing (NLP) has developed incredibly in recent years. The current work is going to establish whether LLMs can do basic reasoning or simply use memorized patterns to approximate the answers.

Large Language Models 107

Large Language Models LLM NLP Natural Language Processing 107

AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. You can then generate focused summaries from those groupings’ content using an LLM.

Natural Language Processing 129

Natural Language Processing Machine Learning Computer Vision ML 129

Marktechpost

SEPTEMBER 17, 2024

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). They also introduced two case studies to demonstrate practical approaches to address LLM resource limitations while maintaining performance. Check out the Paper.

Large Language Models 107

Large Language Models LLM NLP Deep Learning 107

Marktechpost

SEPTEMBER 23, 2024

Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language processing. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 114

Large Language Models Natural Language Processing LLM Artificial Intelligence 114

Marktechpost

JANUARY 13, 2025

Natural Language Processing (NLP): Techniques for processing and understanding human language. Artificial Superintelligence (ASI): A speculative future stage where AI surpasses human intelligence, raising both potential benefits and risks. Computer Vision: Systems that analyze and interpret visual data.

Artificial Intelligence 80

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 80

Marktechpost

JULY 27, 2024

Thus, developing effective methods to reduce hallucinations without compromising the model’s performance is a significant goal in natural language processing. Watson Research Center has introduced a novel method leveraging the memory-augmented LLM named Larimar. A Team of researchers from IBM Research and T.

Large Language Models 114

Large Language Models Natural Language Processing BERT AI 114

Marktechpost

JANUARY 9, 2025

Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models underpin systems like retrieval-augmented generation and other AI-driven solutions. Dont Forget to join our 60k+ ML SubReddit.

Natural Language Processing 82

Natural Language Processing BERT NLP LLM 82

Marktechpost

JANUARY 2, 2025

Despite such successes in natural language processing, computer vision, and other areas, their development often relies on heuristic approaches, limiting interpretability and scalability. Self-attention mechanisms are also vulnerable to data corruption and adversarial attacks, which makes them unreliable in practice.

Natural Language Processing 82

Natural Language Processing Computer Vision LLM ML 82

Marktechpost

JANUARY 7, 2025

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Despite these successes, the computational cost of training such models remains a key challenge. Dont Forget to join our 60k+ ML SubReddit.

Neural Network 85

Neural Network Natural Language Processing Computer Vision LLM 85

AWS Machine Learning Blog

MARCH 20, 2025

Additionally, large language model (LLM)-based analysis is applied to derive further insights, such as video summaries and classifications. He leads machine learning initiatives and projects across business domains, leveraging multimodal AI, generative models, computer vision, and natural language processing.

Automation 106

Automation IDP Generative AI Prompt Engineer 106

Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. In addition to the effort involved, it would be cost prohibitive.

Chatbots 168

Chatbots LLM Prompt Engineer Prompt Engineering 168

Marktechpost

AUGUST 3, 2024

Despite its importance, generating accurate, detailed, and descriptive video captions is challenging in fields like computer vision and natural language processing. The researchers introduced CapScore, an LLM-based metric that evaluates the similarity and quality of generated captions compared to the ground truth.

Robotics 107

Robotics Natural Language Processing Computer Vision Large Language Models 107

Marktechpost

OCTOBER 18, 2024

LLMs such as LLaMA, MAP-Neo, Baichuan, Qwen, and Mixtral are trained on large amounts of text data, exhibiting strong capacities in natural language processing and task resolution through text generation capacity. It also provides multilingual support for languages such as English and Chinese.

Large Language Models 109

Large Language Models Natural Language Processing Inference Engine LLM 109

Marktechpost

SEPTEMBER 25, 2024

Large Language Models (LLMs) have revolutionized natural language processing, enabling AI systems to perform a wide range of tasks with remarkable proficiency. However, researchers face significant challenges in optimizing LLM performance, particularly in human-LLM interactions.

LLM 56

LLM Large Language Models Natural Language Processing AI 56

Marktechpost

JANUARY 10, 2025

For instance, in natural language processing tasks, the sparse models performed competitively in metrics like perplexity and BLEU scores, supporting applications such as summarization, translation, and question answering. Similarly, the LLaMA 3.3 These results demonstrate tangible benefits. 8BandLlama 3.3

Large Language Models 81

Large Language Models Natural Language Processing LLM AI 81