Marktechpost

JANUARY 12, 2024

The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Large Language Models 122

Large Language Models Machine Learning LLM AI Researcher 122

Marktechpost

DECEMBER 8, 2023

Many frameworks have attempted to use LLMs for task-oriented talks, including Langchain, Semantic Kernel, Transformers Agent, Agents, AutoGen, and JARVIS. Using these frameworks, users may communicate with LLM-powered bots by asking questions in plain language and getting answers. If you like our work, you will love our newsletter.

Machine Learning 125

Machine Learning LLM Large Language Models Chatbots 125

Marktechpost

DECEMBER 30, 2023

Therefore, a team of researchers from Imperial College London, Qualcomm AI Research, QUVA Lab, and the University of Amsterdam have introduced LLM Surgeon , a framework for unstructured, semi-structured, and structured LLM pruning that prunes the model in multiple steps, updating the weights and curvature estimates between each step.

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Large Language Models LLM Machine Learning Artificial Intelligence 117

Marktechpost

DECEMBER 12, 2023

A team of researchers from Vector Institute, University of Waterloo, and Peking University introduced EAGLE (Extrapolation Algorithm for Greater Language-Model Efficiency) to combat the challenges inherent in LLM decoding. This collaboration predicts the next feature based on the second top layer’s current feature sequence.

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LLM Machine Learning Natural Language Processing Large Language Models 108

Marktechpost

OCTOBER 11, 2023

Studies now investigate if building AI research agents with similar capabilities is possible. To evaluate AI research agents with free-form decision-making capabilities, researchers from Stanford University propose MLAgentBench, the first benchmark of its kind. Join our AI Channel on Whatsapp.

Machine Learning 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

Marktechpost

JANUARY 5, 2024

In this research paper, researchers from UCLA have tried to empower a weak LLM to improve its performance without requiring additional human-annotated data. SPIN, however, is a more efficient approach that eliminates the need for human binary feedback and operates effectively with just one LLM. Check out the Paper.

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LLM Machine Learning Natural Language Processing Large Language Models 99

Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. How did you initially get interested in computer science and machine learning ? As the director of AI Research at Zoho & ManageEngine, what does your average workday look like?

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

AI News

JUNE 28, 2023

Upon the completion of the transaction, the entire MosaicML team – including its renowned research team – is expected to join Databricks. MosaicML’s machine learning and neural networks experts are at the forefront of AI research, striving to enhance model training efficiency. appeared first on AI News.

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LLM Large Language Models Big Data Neural Network 191

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. This facilitates a series of data transformations and enhances the effectiveness of the proposed LLM-based system.

Machine Learning 128

Machine Learning Explainability Categorization ETL 128

Marktechpost

MARCH 21, 2024

Yet, these methods often need to be more laborious or risk the integrity of the model’s learned information. A team from IBM AI Research and Princeton University has introduced Larimar , an architecture that marks a paradigm shift in LLM enhancement. If you like our work, you will love our newsletter.

Machine Learning 132

Machine Learning Large Language Models LLM Artificial Intelligence 132

Marktechpost

SEPTEMBER 14, 2023

Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning experience, to access and utilize pre-trained Large Language Models (LLMs) for different entities. Check out the Paper and Code.

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LLM Large Language Models Algorithm AI Researcher 129

Marktechpost

MARCH 18, 2024

In a new AI research paper , Google researchers introduced a pre-trained scorer model, Cappy , to enhance and surpass the performance of large multi-task language models. The paper aims to resolve challenges faced in the large language models (LLMs). Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Machine Learning 114

Machine Learning Natural Language Processing Large Language Models LLM 114

Marktechpost

DECEMBER 20, 2023

Researchers from Google DeepMind and Google Research address issues in unsupervised knowledge discovery with LLMs, particularly focusing on methods utilizing probes trained on LLM activation data generated from contrast pairs. These pairs consist of texts ending with Yes and No.

Large Language Models 121

Large Language Models Machine Learning LLM AI Researcher 121

Marktechpost

FEBRUARY 23, 2024

By prioritizing data that offers a wide variety of linguistic features and selecting examples deemed to have a high learning value, these strategies seek to make the training process more effective and efficient. Two standout techniques in this realm are ASK-LLM and DENSITY sampling. Check out the Paper.

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Large Language Models Machine Learning LLM AI Modeling 86

Marktechpost

DECEMBER 22, 2023

These factors make LLMs costly to operate and limit their accessibility and practical application, particularly for organizations without extensive resources. The current landscape of LLM optimization involves various techniques, with model pruning standing out as a prominent method. If you like our work, you will love our newsletter.

Machine Learning 124

Machine Learning Large Language Models Neural Network LLM 124

Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. If you like our work, you will love our newsletter.

Machine Learning 136

Machine Learning Natural Language Processing Computer Vision LLM 136

Marktechpost

OCTOBER 24, 2023

To be more precise, they create a long-term trajectory planner (“reason for future”) that learns from the memory buffer’s prompts for reasoning. Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Join our AI Channel on Whatsapp. We are also on WhatsApp.

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence LLM AI Researcher 95

Marktechpost

JANUARY 30, 2024

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. It converts the LLM’s outputs into several modalities.

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Large Language Models AI Researcher AI Research LLM 135

Marktechpost

OCTOBER 28, 2023

Character-LLM is a trainable agent designed to simulate specific individuals by editing profiles and training models as personal replicas, replicating their unique experiences. A team of researchers from China introduced the concept of training agents as character simulacra using Character-LLM.

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LLM AI Researcher AI Research Large Language Models 95

Towards AI

FEBRUARY 24, 2024

Increasing the size of LLMs has worked very well in the past because LLM performance is highly dependent on scale, which means three things: the number of model parameters, the size of the training dataset, and the amount of computation for training [1]. This is roughly a 10x to 100x increase in size for each new iteration of GPT.

LLM 123

LLM Large Language Models AI Researcher AI Research 123

AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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Robotics LLM Prompt Engineer Prompt Engineering 226

Marktechpost

AUGUST 27, 2023

Artificial Intelligence (AI) has seen a rise in the use of Large Language Models (LLMs). A particular sort of LLM that is based on the Transformer architecture’s decoder-only design has acquired a lot of popularity recently. It allows different LLM ideas to be combined to produce more potent and effective results.

Large Language Models 98

Large Language Models Machine Learning Prompt Engineer Prompt Engineering 98

Marktechpost

DECEMBER 24, 2023

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

LLM 126

LLM Automation Insight Engine Data Analysis 126

Marktechpost

DECEMBER 28, 2023

This framework aims to enhance the reasoning capabilities of machines by incorporating essential elements of human-like reasoning, such as beliefs, goals, anticipation of consequences, and strategic planning. The LAW framework is a more effective abstraction for machine reasoning, overcoming the limitations of current LLM-based methods.

Machine Learning 118

Machine Learning LLM Artificial Intelligence Artificial Intelligence 118

Marktechpost

FEBRUARY 7, 2024

Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models can understand and generate human-like text, representing a pinnacle of current AI research. If you like our work, you will love our newsletter.

Large Language Models 99

Large Language Models Machine Learning Natural Language Processing Artificial Intelligence 99

Topbots

APRIL 29, 2024

This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. They also explore the potential future directions in the field, aiming to bridge the gap between LLM capabilities and human-like reasoning. Reasoning process.

LLM 59

LLM Large Language Models Natural Language Processing AI Researcher 59

Marktechpost

DECEMBER 31, 2023

The researchers demonstrate the effectiveness of their approach by developing detailed facial attributes guided by text prompts using Stable Diffusion Model, LLM, and ControlNet. The researchers also showcase the strand-based hair generation guided by hairstyle images generated using SD models.

Machine Learning 104

Machine Learning LLM AI AI 104

Marktechpost

DECEMBER 24, 2023

This paper (from a team of researchers from the University of Massachusetts Amherst, Columbia University, Google, Stanford University, and New York University) is a significant contribution to the ongoing discourse surrounding LLM safety, as it meticulously explores the intricate dynamics of these models during the finetuning process.

Machine Learning 109

Machine Learning Large Language Models Algorithm LLM 109

Marktechpost

JULY 8, 2023

Researchers from SenseTime Research, SKLSDE, Beihang University, and Shanghai Jiao Tong University developed Shikra, a unified model that can handle inputs and outputs of spatial coordinates, which is what they created. An alignment layer, an LLM, and a vision encoder are all parts of the Shikra architecture.

LLM 104

LLM AI Researcher AI Research Large Language Models 104

AI Weekly

MAY 2, 2024

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project? techmonitor.ai

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OpenAI Natural Language Processing Robotics LLM 147

ODSC - Open Data Science

FEBRUARY 22, 2024

The Limits of Retrieval Augmentation, 8 AI Research Labs Worth Exploring, and Supercharging LLMs with LangChain Is RAG All You Need? Take a deep dive into Machine Learning, NLP, Large Language Models, Generative AI, MLOps, and more with 250+ experts, core contributors, and practitioners shaping the future of AI.

AI Researcher 52

AI Researcher AI Research Large Language Models Machine Learning 52

Marktechpost

JULY 7, 2023

Understanding the personality trait-related properties of the language created by these models is vital as LLMs become the dominant human-computer interaction (HCI) interface, as is learning how to safely, appropriately, and effectively engineer personality profiles generated by LLMs. Check out the Paper.

Large Language Models 106

Large Language Models Explainability AI Researcher AI Research 106

Marktechpost

SEPTEMBER 13, 2023

These costs limit LLM development to a few major players, restricting research and applications. To address this, the paper introduces a growth strategy to significantly reduce LLM training expenses, emphasizing the need for cost-effective training methods in the field. Check out the Paper and Code.

LLM 121

LLM Large Language Models NLP AI Researcher 121

Marktechpost

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 137

Marktechpost

SEPTEMBER 8, 2023

With a joint embedding space, Point-Bind can be utilized for 3D cross-modal retrieval, any-to-3D generation, 3D zero-shot understanding, and developing a 3D large language model, Point-LLM. The overall pipeline of Point-LLM can be seen in the above image. If you like our work, you will love our newsletter.

AI Researcher 126

AI Researcher AI Research Large Language Models LLM 126

Marktechpost

AUGUST 12, 2023

Unfortunately, training LLMs is a resource-intensive operation requiring high-powered computers and a vast volume of data. gpt-llm-trainer is a program that facilitates LLM training on local machines. It employs the GPT-4 language model to train a unique LLM to produce a dataset of questions and answers.

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LLM Large Language Models AI Researcher AI Research 95

Marktechpost

JUNE 9, 2023

Not only can password leaks provide hackers access to systems, but they also allow researchers to look for hidden patterns in user-generated passwords that may be used to develop and improve password-cracking tools.

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LLM Large Language Models ML AI Tools 98