Marktechpost

JULY 2, 2023

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. In recent studies, LLMs have been proposed as task-specific training data generators to reduce the necessity of task-specific data and annotations, especially for text classification.

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LLM AI Researcher AI Research Large Language Models 117

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.

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Large Language Models AI Researcher AI Research NLP 128

Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP. If you like our work, you will love our newsletter.

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NLP LLM AI Modeling Large Language Models 123

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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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.

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Machine Learning AI Researcher AI Research Large Language Models 132

John Snow Labs

JANUARY 25, 2024

The shift across John Snow Labs’ product suite has resulted in several notable company milestones over the past year including: 82 million downloads of the open-source Spark NLP library. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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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. at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., Convert an incoming prompt to a graph query, then use the result set to select chunks for the LLM.

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Marktechpost

OCTOBER 18, 2024

These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. Check out the GitHub and Details.

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LLM NLP Inference Engine Large Language Models 113

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 132

Marktechpost

SEPTEMBER 13, 2023

Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in conducting fair evaluations. These costs limit LLM development to a few major players, restricting research and applications.

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LLM Large Language Models NLP AI Researcher 128

Unite.AI

DECEMBER 6, 2023

Stronger LLMs like GPT-4 are used as evaluators. AlpacaEval : Based on the AlpacaFarm evaluation set, this LLM-based automatic evaluator benchmarks models against responses from advanced LLMs like GPT-4 and Claude, calculating the win rate of candidate models. However, it still lagged behind GPT-3.5-turbo turbo and GPT-4.

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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

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. on the AQuA dataset compared to the Self-Consistency method.

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LLM Natural Language Processing Large Language Models NLP 128

Marktechpost

NOVEMBER 28, 2023

It is a General AI Assistant that focuses on real-world questions, avoiding LLM evaluation pitfalls. With human-crafted questions that reflect AI assistant use cases, GAIA ensures practicality. By targeting open-ended generation in NLP, GAIA aims to redefine evaluation benchmarks and advance the next generation of AI systems.

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AI Researcher AI Research NLP AI 125

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. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

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LLM AI Researcher AI Research Prompt Engineer 98

Flipboard

JULY 3, 2023

Particularly after using reinforcement learning with human input, the intrinsic confidence score from the generative LLMs is sometimes unavailable or not effectively calibrated with regard to the intended aim. Heuristic techniques are costly to compute and are subject to bias from the LLM itself, such as sampling an ensemble of LLM answers.

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LLM Large Language Models AI Tools NLP 132

Marktechpost

NOVEMBER 9, 2023

These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. They are drawn from both self-constructed and available NLP datasets. The researchers have conducted multiple assessment benchmarks for evaluating DISC-FinLLM’s.

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Large Language Models LLM NLP Natural Language Processing 123

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. Two current strategies to deal with these memory problems are offloading and model compression.

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Large Language Models Machine Learning LLM Natural Language Processing 139

Flipboard

MAY 13, 2023

0 Shares The recent development of potent large language models (LLMs) has changed NLP. These LLMs have proven extraordinary ability to produce text …

Large Language Models 123

Large Language Models NLP AI Researcher AI Research 123

Marktechpost

NOVEMBER 24, 2024

Transformer architectures have revolutionized Natural Language Processing (NLP), enabling significant language understanding and generation progress. However, the efficiency of LLMs in real-world deployment remains a challenge due to their substantial resource demands, particularly in tasks requiring sequential token generation.

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LLM AI Research AI Researcher Auto-complete 87

Marktechpost

DECEMBER 18, 2024

Unlike earlier methods, it aligns task-specific requirements with a systematic optimization process, offering an efficient and scalable solution for diverse NLP applications. During the generation phase, the system uses LLMs to create multiple variations of a base prompt by applying cognitive heuristics.

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AI Researcher AI Research LLM Prompt Engineer 87

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. 7B-instruct model.

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AI Research AI Researcher BERT Natural Language Processing 113

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.

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LLM Natural Language Processing Large Language Models NLP 122

Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP). Check out the Paper.

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AI Research AI Researcher Large Language Models Natural Language Processing 122

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. But, how to determine how much data one needs to train an LLM? RLHF is perhaps the most popular of the current methods. Et voilà !

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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.

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AI Researcher AI Research Large Language Models Natural Language Processing 135

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….

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Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Towards AI

JANUARY 22, 2025

Setting the Stage: Why Augmentation Matters Imagine youre chatting with an LLM about complex topics like medical research or historical events. As we continue to push the boundaries of AI, hybrid models combining the best of CAG and RAG may well become the standard, offering unparalleled efficiency and accuracy.

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Marktechpost

DECEMBER 30, 2023

In implementing CUT, researchers conducted experiments in two settings: offline alignment using pre-existing model-agnostic judgment data and online alignment, where the model learns from judgments on its own generated responses. The post Can Language Feedback Revolutionize AI Training? The results of implementing CUT were remarkable.

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Marktechpost

SEPTEMBER 8, 2024

represents a significant milestone in the evolution of language models developed by LG AI Research , particularly within Expert AI. The name “ EXAONE ” derives from “ EX pert A I for Every ONE ,” encapsulating LG AI Research ‘s commitment to democratizing access to expert-level artificial intelligence capabilities.

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AI Researcher AI Research Large Language Models LLM 117

Marktechpost

DECEMBER 19, 2024

The rapid development of Large Language Models (LLMs) has transformed natural language processing (NLP). Tackling these barriers is crucial for fostering trust, collaboration, and progress in the AI ecosystem. It is a valuable tool for researchers, developers, and businesses seeking flexible and high-performing solutions.

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LLM Natural Language Processing NLP Large Language Models 93

TheSequence

JANUARY 12, 2025

NVIDIA NIM Microservices NVIDIA’s NIM (NVIDIA Inference Microservices) is a significant leap forward in the integration of AI into modern software systems. Built for the new GeForce RTX 50 Series GPUs, NIM offers pre-built containers powered by NVIDIA's inference software, including Triton Inference Server and TensorRT-LLM.

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Robotics LLM Large Language Models AI 72

Marktechpost

NOVEMBER 16, 2024

Instruction-tuned large language models (LLMs) have redefined natural language processing (NLP), offering significant improvements in generating coherent, context-aware responses. These synthetic datasets address the dual problem of scale and diversity, providing a robust foundation for advancing LLM performance across benchmarks.

AI Researcher 87

AI Researcher AI Research NLP Natural Language Processing 87

NYU Center for Data Science

DECEMBER 1, 2023

The quest to refine AI’s understanding of extensive textual data has recently been advanced due to two recent papers by CDS PhD student Jason Phang , who is the first author of two recent NLP papers that secured “best paper” accolades at ICML 2023 and EMNLP 2023.

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NLP Large Language Models Natural Language Processing AI 96

Marktechpost

MAY 22, 2024

In natural language processing (NLP), researchers constantly strive to enhance language models’ capabilities, which play a crucial role in text generation, translation, and sentiment analysis. Researchers can now assess their models more confidently, knowing they have a comprehensive and accessible tool.

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LLM Natural Language Processing NLP Python 113

John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding by June 2023. billion in funding by June 2023.

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LLM OpenAI Large Language Models NLP 98

Flipboard

JUNE 17, 2023

They divide an LLM’s capacity for in-context learning into two components: the acquisition of effective task representations and the execution of probabilistic inference, or reasoning, over these representations. Is the gap caused by a lack of information in the representations or by the LLMs’ inability to analyze them?

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LLM Large Language Models NLP Prompt Engineering 145