Marktechpost

FEBRUARY 14, 2024

Although current text-to-image generation models have demonstrated exceptional performance, they fail to personalize the image generation as per the specific subject and often fall short in terms of faithfulness to the reference object. All credit for this research goes to the researchers of this project.

AI Researcher 117

AI Researcher AI Research ChatGPT Automation 117

AI News

JANUARY 18, 2024

AlphaGeometry took a revolutionary approach to synthetic data generation by creating one billion random diagrams of geometric objects and deriving relationships between points and lines in each diagram. DeepMind hopes to continue improving its maths reasoning abilities to the point it could pass the entire multi-subject Olympiad.

Big Data 238

Big Data Artificial Intelligence Artificial Intelligence AI 238

Ehud Reiter

APRIL 8, 2024

1 Evaluate what is important Many things can be measured in an evaluation, and researchers should focus on what is important scientifically or practically. Unfortunately, when I look at the research literature, I see a *lot* of evaluations which focus on measuring stuff that is relatively easy to measure (eg.,

NLP 136

NLP BERT Machine Learning 136

Marktechpost

FEBRUARY 28, 2024

Researchers continually seek to enhance their capabilities, particularly in understanding and interpreting complex, subjective, and often conflicting information. Given the contentious nature of this subject, with evidence spanning from authoritative health studies to anecdotal claims, identifying credible sources becomes paramount.

AI 118

AI AI ML Large Language Models 118

Marktechpost

MARCH 30, 2024

Researchers at Shanghai AI Laboratory, SenseTime Group, The Chinese University of Hong Kong, and Fudan University have unveiled InternLM2 , a remarkable open–source achievement in Large Language Models (LLMs). The researchers behind InternLM2 have taken a multifaceted approach to address this challenge. The result?

Large Language Models 127

Large Language Models LLM Artificial Intelligence Artificial Intelligence 127

Marktechpost

APRIL 5, 2024

Researchers from New York University, ELLIS Institute, and the University of Maryland have delved deeper into the nuances of style replication by generative models. This methodology captures the essence of style as humans perceive it, highlighting the complexity and subjectivity inherent in artistic endeavors.

Artificial Intelligence 87

Artificial Intelligence Artificial Intelligence ML Computer Vision 87

Marktechpost

MARCH 22, 2024

Imagine you’re a doctor trying to get help researching a rare medical condition. A team of researchers at UC Berkeley Propose Enter RAFT (Retrieval Augmented Fine Tuning), an ingenious new approach that could be the Rosetta Stone for translating between generalized AI and hyper-specific expertise. Even against the powerful GPT-3.5,

AI 126

AI AI Software Development Artificial Intelligence 126

Marktechpost

JANUARY 7, 2024

One primary challenge in video synthesis is the extensive memory and training data required. To address the needs of casual users, researchers at NVIDIA research introduce a high-level interface for controlling object trajectories in synthesized videos. All credit for this research goes to the researchers of this project.

AI 114

AI AI ML Computer Vision 114

Marktechpost

DECEMBER 3, 2023

In a groundbreaking development, researchers have harnessed the power of artificial intelligence (AI) to address the inherent challenges in diagnosing Attention Deficit-Hyperactivity Disorder (ADHD) among adolescents. The current diagnostic methods for ADHD fall short due to their subjective nature and dependence on behavioral surveys.

Deep Learning 90

Deep Learning Artificial Intelligence Artificial Intelligence AI 90

Unite.AI

NOVEMBER 3, 2023

DeepMind, a Google-owned research lab that focuses on AI, recently published a study in which they proposed a three-tiered structure to evaluate the risks of AI, including both social and ethical risks. can lead to a potentially fatal outcome, other queries that could be considered sensitive are way more subjective.

Large Language Models 279

Large Language Models AI AI Neural Network 279

AI News

FEBRUARY 23, 2024

According to Stability AI, Stable Diffusion 3 has significantly better abilities for handling multi-subject image generation compared to previous versions. By continually collaborating with researchers, experts, and our community, we expect to innovate further with integrity as we approach the model’s public release.”

Big Data 225

Big Data AI AI OpenAI 225

Marktechpost

FEBRUARY 20, 2024

The research team from NVIDIA has introduced OpenMathInstruct-1, a novel dataset comprising 1.8 This dataset stands out due to its open license and the use of Mixtral, an open-source LLM, for data generation, allowing unrestricted use and fostering innovation in the field. Post-processing corrected syntactically noisy solutions.

AI Researcher 122

AI Researcher AI Research LLM AI 122

Marktechpost

MARCH 24, 2024

Generating realistic human facial images has long challenged computer vision and machine learning researchers. This enables seamless control over the synthesized subject’s identity while harnessing diffusion models’ powerful priors for high-quality image generation. Check out the Paper and Github.

Computer Vision 87

Computer Vision Neural Network Machine Learning ML 87

Ehud Reiter

JANUARY 15, 2024

We also give practical suggestions for researchers who want to avoid the sort of problems we found in ReproHum, such as piloting UIs, following good software development practices, and automatically generating Latex for tables (etc) from data sets; again this isnt rocket science. I researchers may decide this is not worth doing.

NLP 259

NLP Computational Linguistics Software Development 259

Unite.AI

OCTOBER 18, 2023

This can happen due to data shortages, restricted resources, and lack of expertise. If your concepts remain nebulous, conduct thorough research on the subject to ascertain your understanding of the market. Write a paper that encapsulates the data and results collected, as it will serve as a testament to your research.

Explainability 295

Explainability Machine Learning Algorithm 295

Unite.AI

JULY 25, 2023

For all AI models, the standard procedure is to deploy the model and then periodically retrain it on the latest real-world data to ensure that its performance doesn't deteriorate. That’s because online data sources (the internet) are gradually becoming a mixture of human-generated and AI-generated data.

AI 246

AI AI AI Modeling Data Drift 246

Marktechpost

MARCH 31, 2024

These models have demonstrated potential for use in biomedical research and healthcare applications by performing well on a variety of tasks, including summarization and question-answering. Also, the closed nature of these models, which are run by large digital companies, raises concerns about accessibility and data privacy.

AI Modeling 127

AI Modeling Large Language Models Natural Language Processing NLP 127

AI News

JUNE 28, 2023

This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data. We started MosaicML to solve the hard engineering and research problems necessary to make large-scale training more accessible to everyone.

LLM 189

LLM Large Language Models Big Data Neural Network 189

Marktechpost

JANUARY 18, 2024

The pretraining data’s composition is the reason for this bias since it has a big impact on the model’s behavior. Researchers have been putting in efforts to have an additional focus on understanding and documenting the transformations made to the data before pretraining.

Natural Language Processing 86

Natural Language Processing Large Language Models LLM AI 86

AI Weekly

OCTOBER 19, 2023

Vinovest’s experts and data scientists identify the casks with the strongest growth potential. forbes.com Ethics China sets stricter rules for training generative AI models The draft regulations emphasize that data subject to censorship on the Chinese internet should not serve as training material for these models.

Robotics 203

Robotics Deep Learning Artificial Intelligence Artificial Intelligence 203

Ehud Reiter

SEPTEMBER 25, 2023

We evaluated this with 230 people, and although most subjects found the system to be useful, 2 subjects (ie, 0.9% Basically the texts were telling them upsetting news about their skills and career hopes, and the subjects told us that they wanted such news to come from a caring and compassionate person.

ChatGPT 141

ChatGPT LLM AI AI 141

AssemblyAI

AUGUST 3, 2023

From the large-scale proliferation of biased or false information to risks of psychological distress for chatbot users, the potential for misuse of language models is a subject of intense debate. Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior. But does this come at a cost?

LLM 238

LLM Chatbots ChatGPT OpenAI 238

Marktechpost

MAY 7, 2024

By employing visual aids and intuitive methodologies, this approach enhances the understanding of physical principles for students, researchers, and enthusiasts. Further research by McDermott et al. This capability offers a unique learning experience by bringing the subject into the real world. Santos et al.

Neural Network 98

Neural Network AI AI Deep Learning 98

Ehud Reiter

JUNE 21, 2023

Your plan should include ( human evaluation only) how you will recruit subjects; eg Prolific with filters XXX what material will be evaluated; eg, outputs of MyAmazing and BoringBaseline NLG systems, on scenarios YYY. Will human subjects be trained and/or given explanatory material? What UI will human subjects see?

Software Engineer 124

Software Engineer Explainability Python AI 124

Marktechpost

JANUARY 6, 2024

The success of LLMs in dealing with massive amounts of data has led to the development of models of the generative processes that are more brief, coherent, and interpretable—a “world model,” if you will. Subsequently, twelve natural language processing datasets are subjected to thorough experiments in this article.

Large Language Models 122

Large Language Models Natural Language Processing LLM AI 122

Flipboard

MAY 2, 2023

They run on the same fuel: data , and lots of it. Netflix machine-learning algorithms, for example, leverage rich user data not just to recommend movies, but to decide which new films to make. Facial recognition software deploys neural nets to leverage pixel data from millions of images.

Data Science 162

Data Science Data Analysis Machine Learning Algorithm 162

Marktechpost

JANUARY 27, 2024

RLHF, a prevalent strategy, guides models toward preferred outputs by defining a nuanced loss function reflecting subjective text quality. However, accurately modeling human preferences involves costly data collection. Filtering steps based on model confidence and response distribution further enhance the quality of the generated data.

AI Strategy 124

AI Strategy Large Language Models AI AI 124

Marktechpost

APRIL 29, 2024

With the significant development in the rapidly developing field of Artificial Intelligence driven healthcare, a team of researchers has introduced OpenBioLLM-Llama3-70B & 8B models. Over the course of four months, medical specialists were consulted in the curation process to guarantee the quality and usefulness of the data.

Large Language Models 125

Large Language Models Natural Language Processing NLP LLM 125

Marktechpost

JANUARY 28, 2024

Evidence shows that LLMs can take in and process massive amounts of data from text. Data like this is usually culled from a static image of many online documents retrieved instantly. However, the information in the real world is subject to constant change, often occurring daily, hourly, or even in real-time.

Large Language Models 116

Large Language Models LLM Algorithm ChatGPT 116

TheSequence

NOVEMBER 9, 2023

Created Using DALL-E Large language models(LLMs) are regularly trained in vast amounts of unlabeled data, which often leads to acquiring knowledge of incredibly diverse subjects. In one of the most fascinating papers of this year , Microsoft Research explores an unlearning technique for LLMs.

Large Language Models 121

Large Language Models 121

Ehud Reiter

JANUARY 30, 2024

Over the past year I have on several occasions encouraged NLP researchers to do systematic reviews of the research literature. I So conventional surveys can be very useful, but they are inherently subjective and hence not repeatable. In Data extracted : what information we extract from the paper. For

NLP 141

NLP Data Extraction AI AI 141

Marktechpost

OCTOBER 24, 2023

Such systems still have much to learn about how to contribute to professional psychotherapy, which calls for in-depth research into the patient’s thought processes, the creation of cognition models, and techniques for reconstructing cognition models. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 106

Large Language Models LLM AI AI 106

Marktechpost

APRIL 19, 2024

Recent developments in LLMs and their effects on AI make this idea much more appealing, prompting researchers to look at language modeling through the compression lens. Since LLMs have proven themselves to be quite effective in compressing data, language modeling might be thought of as a type of compression.

AI Researcher 97

AI Researcher AI Research AI AI 97

AI News

JULY 26, 2023

One of the key aspects of this Act is its support for open-source, non-profit, and academic research and development in the AI ecosystem. Open research and development also promote transparency and accountability in AI systems.

Big Data 163

Big Data AI AI Software Development 163

Marktechpost

AUGUST 26, 2023

Old standards eventually become irrelevant, given that LLMs can perform NLU and NLG at human levels (OpenAI, 2023) using linguistic data. However, with so much LLM information already trained, it’s increasingly likely that test cases will be mixed in with the training data. Check out the Paper and Project Page.

Large Language Models 90

Large Language Models LLM NLP AI 90

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. In conclusion, this research provides a thorough summary of MM-LLMs as well as insights into the effectiveness of present models.

Large Language Models 133

Large Language Models AI Researcher AI Research LLM 133

Marktechpost

MARCH 13, 2024

In data science and artificial intelligence, embedding entities into vector spaces is a pivotal technique, enabling the numerical representation of objects like words, users, and items. Researchers from Netflix Inc. All credit for this research goes to the researchers of this project. Check out the Paper.

Data Science 106

Data Science Artificial Intelligence Artificial Intelligence ML 106