Marktechpost

APRIL 1, 2024

With the incorporation of large language models (LLMs) in almost all fields of technology, processing large datasets for language models poses challenges in terms of scalability and efficiency. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 110

Large Language Models ETL Data Ingestion Data Quality 110

Unite.AI

MARCH 15, 2024

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

ML 188

ML Deep Learning Neural Network Machine Learning 188

Marktechpost

OCTOBER 6, 2024

The rise of powerful image editing models has further blurred the line between real and fake content, posing risks such as misinformation and legal issues. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

Large Language Models 113

Large Language Models Explainability Explainable AI AI 113

Marktechpost

OCTOBER 6, 2024

A popular method when employing Large Language Models (LLMs) for complicated analytical tasks, such as code generation, is to attempt to solve the full problem within the model’s context window. The amount of data the model can process at once has a significant impact on its capacity to produce a solution.

Large Language Models 107

Large Language Models LLM ML AI Development 107

Marktechpost

OCTOBER 6, 2024

Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. If you like our work, you will love our newsletter. Let’s collaborate!

Large Language Models 109

Large Language Models LLM Categorization Automation 109

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 109

Large Language Models Natural Language Processing Inference Engine LLM 109

Marktechpost

OCTOBER 4, 2024

Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. is poised to address key challenges in multimodal AI. The post Apple AI Research Introduces MM1.5:

Large Language Models 107

Large Language Models AI Researcher AI Research AI 107

Marktechpost

MAY 18, 2024

This research provides essential insights into balancing performance and computational efficiency in finetuning LLMs, offering a pathway for more sustainable and versatile AI development. Check out the Paper. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter.

Large Language Models 107

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 107

Marktechpost

OCTOBER 6, 2024

Natural language processing (NLP) has experienced rapid advancements, with large language models (LLMs) being used to tackle various challenging problems. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

Large Language Models 106

Large Language Models Natural Language Processing NLP AI 106

Marktechpost

JANUARY 8, 2024

In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models. Check out the Paper.

Large Language Models 114

Large Language Models Natural Language Processing Neural Network Automation 114

Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Training state-of-the-art models like GPT and Llama requires enormous computational resources and intricate engineering. For instance, Llama-3.1-405B

LLM 107

LLM Natural Language Processing Large Language Models AI Researcher 107

Marktechpost

JUNE 15, 2024

NVIDIA has recently unveiled the Nemotron-4 340B , a groundbreaking family of models designed to generate synthetic data for training large language models (LLMs) across various commercial applications. In conclusion, NVIDIA’s Nemotron-4 340B represents a leap forward in generating synthetic data for training LLMs.

Large Language Models 111

Large Language Models LLM Data Quality AI 111

AI Weekly

DECEMBER 19, 2024

theguardian.com The rise of AI agents: What they are and how to manage the risks In the rapidly evolving landscape of artificial intelligence, a new frontier is emerging that promises to revolutionize the way we work and interact with technology. medium.com Presented By Meta Metas open source AI is available to all, not just the few.

Robotics 147

Robotics Artificial Intelligence Artificial Intelligence Deep Learning 147

Marktechpost

JANUARY 15, 2024

However, enhancing these models’ reflective thinking and self-correction abilities is a significant challenge in AI development. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. All credit for this research goes to the researchers of this project.

Large Language Models 101

Large Language Models ML AI Development AI Developer 101

AWS Machine Learning Blog

MARCH 18, 2025

The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. HyperPod accelerates the training of machine learning models by distributing and parallelizing workloads across numerous powerful processors like AWSs Trainium chips or GPUs.

Machine Learning 104

Machine Learning AI AI ML 104

Marktechpost

AUGUST 27, 2023

In the landscape of coding tools, Code Llama stands out as a transformative tool that holds the potential to reshape the way developers approach their tasks. By offering an open and community-driven approach, Code Llama invites innovation and encourages responsible and safe AI development practices.

Large Language Models 98

Large Language Models Software Development Python AI 98

Marktechpost

OCTOBER 5, 2024

Google Researchers combined AR developments in spatial understanding via SLAM with object detection and segmentation integrated with Multimodal Large Language Model (MLLM) XR Object offers an object-centric interaction in contradistinction to the application-centric approach of Google Lens. Let’s collaborate!

Large Language Models 107

Large Language Models Computer Vision Categorization Chatbots 107

AWS Machine Learning Blog

NOVEMBER 30, 2023

It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. About the authors Ram Vegiraju is a ML Architect with the SageMaker Service team. He focuses on helping customers build and optimize their AI/ML solutions on Amazon SageMaker.

Large Language Models 105

Large Language Models Algorithm LLM Responsible AI 105

AWS Machine Learning Blog

JANUARY 28, 2025

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process. We specifically focus on SageMaker with MLflow.

LLM 95

LLM Large Language Models ML Algorithm 95

Marktechpost

SEPTEMBER 18, 2024

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). This strategy aligns with the growing trend of making AI tools more transparent and explainable.

Large Language Models 103

Large Language Models Natural Language Processing Explainability Artificial Intelligence 103

Marktechpost

MARCH 14, 2025

The rapid evolution of artificial intelligence (AI) has ushered in a new era of large language models (LLMs) capable of understanding and generating human-like text. However, the proprietary nature of many of these models poses challenges for accessibility, collaboration, and transparency within the research community.

Large Language Models 63

Large Language Models Artificial Intelligence Artificial Intelligence AI 63

Marktechpost

NOVEMBER 16, 2024

This article explores the insights from Kili Technology’s new multilingual study and its associated findings, emphasizing how leading models like CommandR+, Llama 3.2, This technique involves providing the model with carefully selected examples, thereby conditioning it to replicate and extend that pattern in harmful or misleading ways.

Large Language Models 79

Large Language Models AI AI AI Development 79

Marktechpost

JANUARY 22, 2025

Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Their first platform, Bakery , is a unique AI model fine-tuning and monetization platform built on the Bagel model architecture.

Machine Learning 128

Machine Learning AI AI AI Developer 128

Marktechpost

MARCH 23, 2025

The growing reliance on automation and AI-driven tools has led to integrating large language models (LLMs) in supporting tasks like bug detection, code search, and suggestion. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out the Paper and GitHub Page.

Large Language Models 89

Large Language Models Software Development Automation AI 89

Marktechpost

MARCH 25, 2025

Innovative frameworks that simplify complex interactions with large language models have fundamentally transformed the landscape of generative AI development in Python. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out the GitHub Page.

Generative AI 68

Generative AI Software Engineer Python Large Language Models 68

Unite.AI

SEPTEMBER 13, 2023

Such issues are typically related to the extensive and diverse datasets used to train Large Language Models (LLMs) – the models that text-based generative AI tools feed off in order to perform high-level tasks. Some of the most illustrative examples of this can be found in the healthcare industry.

Explainability 276

Explainability Generative AI AI Tools Algorithm 276

ODSC - Open Data Science

APRIL 2, 2025

Multimodal AI is also gaining traction. Paired with the open-source momentum in large language models, theres a clear demand for technical fluency in navigating tools like LangChain, Hugging Face, and fine-tuned LLMs. The overall developer sentiment toward AI remains largely optimistic.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models ML Engineer 52

Marktechpost

NOVEMBER 22, 2024

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It’s well-suited for building and deploying large language models.

Automation 107

Automation Explainability Data Analysis Machine Learning 107

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Unite.AI

AUGUST 27, 2024

Unprecedented Speed and Cost Efficiency Cerebras Inference is designed to deliver exceptional performance across various AI models, particularly in the rapidly evolving segment of large language models (LLMs). 8B model and 450 tokens per second for the Llama 3.1

Large Language Models 246

Large Language Models AI AI AI Modeling 246

IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Marktechpost

DECEMBER 16, 2023

Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size, task complexity, hardware specifications, and operational duration. Check out the Paper.

Machine Learning 124

Machine Learning Large Language Models Neural Network AI Modeling 124

Marktechpost

OCTOBER 8, 2024

Large Language Models (LLMs) have made considerable advancements in natural language understanding and generation through scalable pretraining and fine-tuning techniques. This innovative method addresses the challenge of limited reasoning-specific data and significantly enhances reward model fine-tuning.

Large Language Models 56

Large Language Models LLM Automation ML 56

Marktechpost

MARCH 31, 2025

This inherent open-mindedness makes creative writing a prime challenge for AI systems, which need to maintain narrative coherence while producing novel and distinct outputs. The core issue lies in how large language models are refined after their initial training. Check out the Paper.

Large Language Models 49

Large Language Models AI AI ML 49

Marktechpost

AUGUST 9, 2024

Multimodal models are designed to make human-computer interaction more intuitive and natural, enabling machines to understand and respond to human inputs in ways that closely mirror human communication. One of the main challenges in AI development is ensuring these powerful models’ safe and ethical use.

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Responsible AI AI Developer AI Development OpenAI 112

Marktechpost

SEPTEMBER 3, 2024

Artificial intelligence, particularly the development of large language models (LLMs), has been rapidly advancing, focusing on improving these models’ reasoning capabilities. Check out the Paper. All credit for this research goes to the researchers of this project. Join our Telegram Channel.

Large Language Models 60

Large Language Models Artificial Intelligence Artificial Intelligence AI 60

Flipboard

FEBRUARY 19, 2025

The retrieval component uses Amazon Kendra as the intelligent search service, offering natural language processing (NLP) capabilities, machine learning (ML) powered relevance ranking, and support for multiple data sources and formats. Amazon Bedrock hosts and manages the large language models (LLMs) , currently using Claude 3.5

Responsible AI 79

Responsible AI Natural Language Processing Explainability Large Language Models 79